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H5游戏开荒:一笔画

3.3 加强砖墙

砖墙在消亡了一些砖头后,会现出空洞,这个时候须求对墙体举行狠抓:

向下夯实 向左夯实 向左下夯实(先下后左)

意气风发种高效的达成方案是,每便「撤除砖块」后一贯遍历砖墙数组(10×10数组)再把空洞狠抓,伪代码表示如下:

JavaScript

for(let row = 0; row < 10; ++row卡塔尔 { for(let col = 0; col < 10; ++col卡塔尔 { if(isEmpty(row, colState of Qatar卡塔尔 { // 水平方向(向左)坚实if(isEmptyCol(col卡塔尔(قطر‎卡塔尔(قطر‎ { tampRow(col卡塔尔; } // 垂直方向(向下)抓实 else { tampCol(col卡塔尔; } break; } } }

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for(let row = 0; row < 10; ++row) {
for(let col = 0; col < 10; ++col) {
if(isEmpty(row, col)) {
// 水平方向(向左)夯实
if(isEmptyCol(col)) {
tampRow(col);
}
// 垂直方向(向下)夯实
else {
tampCol(col);
}
break;
}
}
}

But… 为了坚实贰个浮泛对一张大数组举办全量遍历并非生龙活虎种高效的算法。以作者之见影响「墙体压实」功效的要素有:

  1. 固化空洞
  2. 砖块移动(抓牢)

环顾墙体数组的首要目标是「定位空洞」,不过不是不扫描墙体数组直接「定位空洞」?

墙体的「空洞」是出于「清除砖块」造成的,换种说法 —— 被解除的砖头留下来的坑位正是墙体的空洞。在「杀绝砖块」的同不常间标志空洞的职位,那样就不用全量扫描墙体数组,伪代码如下:

JavaScript

function deleteTile(tileState of Qatar { // 标志空洞 markHollow(tile.index卡塔尔; // 删除砖块逻辑 ... }

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function deleteTile(tile) {
// 标记空洞
markHollow(tile.index);
// 删除砖块逻辑
...
}

在上头的狠抓动图,其实能够看看它的加强进度如下:

  1. 抽象上方的砖块向下活动
  2. 空驶列车侧面的砖块向左移动

墙体在「抓实」进度中,它的界线是实时在变化,假如「做实」不按实际边界实行扫描,会生出多余的空白扫描:

图片 1

怎样记录墙体的边际?
把墙体拆分成二个个独自的列,那么列最顶端的空白格片段便是墙体的「空白」,而其他非顶端的空白格片段即墙体的「空洞」。

图片 2

小编使用风流浪漫组「列群集」来陈诉墙体的界限并记下墙体的架空,它的模型如下:

JavaScript

/* @ count - 列砖块数 @ start - 最上部行索引 @ end - 尾部行索引 @ pitCount - 坑数 @ topPit - 最最上部的坑 @ bottomPit - 最尾巴部分的坑 */ let wall = [ {count, start, end, pitCount, topPit, bottomPit}, {count, start, end, pitCount, topPit, bottomPit}, ... ];

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/*
@ count - 列砖块数
@ start - 顶部行索引
@ end - 底部行索引
@ pitCount - 坑数
@ topPit - 最顶部的坑
@ bottomPit - 最底部的坑
*/
let wall = [
{count, start, end, pitCount, topPit, bottomPit},
{count, start, end, pitCount, topPit, bottomPit},
...
];

其一模型能够描述墙体的多个细节:

  • 空列
  • 列的总是空洞
  • 列的非三翻五次空洞
JavaScript

// 空列 if(count === 0) { ... } // 连续空洞 else if(bottomPit -
topPit + 1 === pitCount) { ... } // 非连续空洞 else { ... }

<table>
<colgroup>
<col style="width: 50%" />
<col style="width: 50%" />
</colgroup>
<tbody>
<tr class="odd">
<td><div class="crayon-nums-content" style="font-size: 13px !important; line-height: 15px !important;">
<div class="crayon-num" data-line="crayon-5b8f3d2c2df29914802382-1">
1
</div>
<div class="crayon-num crayon-striped-num" data-line="crayon-5b8f3d2c2df29914802382-2">
2
</div>
<div class="crayon-num" data-line="crayon-5b8f3d2c2df29914802382-3">
3
</div>
<div class="crayon-num crayon-striped-num" data-line="crayon-5b8f3d2c2df29914802382-4">
4
</div>
<div class="crayon-num" data-line="crayon-5b8f3d2c2df29914802382-5">
5
</div>
<div class="crayon-num crayon-striped-num" data-line="crayon-5b8f3d2c2df29914802382-6">
6
</div>
<div class="crayon-num" data-line="crayon-5b8f3d2c2df29914802382-7">
7
</div>
<div class="crayon-num crayon-striped-num" data-line="crayon-5b8f3d2c2df29914802382-8">
8
</div>
<div class="crayon-num" data-line="crayon-5b8f3d2c2df29914802382-9">
9
</div>
<div class="crayon-num crayon-striped-num" data-line="crayon-5b8f3d2c2df29914802382-10">
10
</div>
<div class="crayon-num" data-line="crayon-5b8f3d2c2df29914802382-11">
11
</div>
<div class="crayon-num crayon-striped-num" data-line="crayon-5b8f3d2c2df29914802382-12">
12
</div>
</div></td>
<td><div class="crayon-pre" style="font-size: 13px !important; line-height: 15px !important; -moz-tab-size:4; -o-tab-size:4; -webkit-tab-size:4; tab-size:4;">
<div id="crayon-5b8f3d2c2df29914802382-1" class="crayon-line">
// 空列
</div>
<div id="crayon-5b8f3d2c2df29914802382-2" class="crayon-line crayon-striped-line">
if(count === 0) { 
</div>
<div id="crayon-5b8f3d2c2df29914802382-3" class="crayon-line">
 ...
</div>
<div id="crayon-5b8f3d2c2df29914802382-4" class="crayon-line crayon-striped-line">
}
</div>
<div id="crayon-5b8f3d2c2df29914802382-5" class="crayon-line">
// 连续空洞
</div>
<div id="crayon-5b8f3d2c2df29914802382-6" class="crayon-line crayon-striped-line">
else if(bottomPit - topPit + 1 === pitCount) { 
</div>
<div id="crayon-5b8f3d2c2df29914802382-7" class="crayon-line">
 ...
</div>
<div id="crayon-5b8f3d2c2df29914802382-8" class="crayon-line crayon-striped-line">
}
</div>
<div id="crayon-5b8f3d2c2df29914802382-9" class="crayon-line">
// 非连续空洞
</div>
<div id="crayon-5b8f3d2c2df29914802382-10" class="crayon-line crayon-striped-line">
else {
</div>
<div id="crayon-5b8f3d2c2df29914802382-11" class="crayon-line">
 ...
</div>
<div id="crayon-5b8f3d2c2df29914802382-12" class="crayon-line crayon-striped-line">
}
</div>
</div></td>
</tr>
</tbody>
</table>

砖块在消弭后,映射到单个列上的空洞会有三种布满形态 —— 三番两回与非一而再。

图片 3

「三翻五次空洞」与「非接二连三空洞」的压实进度如下:

图片 4

实质上「空驶列车」放大于墙体上,也可能有「空洞」相符的布满形态 —— 一而再三回九转与非三番两次。
图片 5

它的坚实进程与虚幻肖似,这里就不赘述了。

运用「自动识图」的提议

尽管作者在该地质度量试的时候能够把具有的「底图」识别出来,不过并不能够担保其余开采者上传的图纸是不是被很好的辨识出来。作者建议,能够把「自动识图」做为一个独立的工具使用。

作者写了叁个「自动识图」的单独工具页面:
能够在这里个页素不相识成对应的关卡配置。

29.  7、查询学过“叶平”老师所教的全数课的同桌的学号、姓名; 

A Stratified Sampling Technique for an Ellipse(C.-M. Wang, N.-C. Hwang)

6. 问题

在腾讯网有三个有关「杀绝星星」的话题:popstar关卡是何等设计的?

那一个话题在最终提议了二个主题素材 —— 「无法杀绝和最大得分不满意过关条件的矩阵」

图片 6

「无法灭亡的矩阵」其实正是最大得分为0的矩阵,本质上是「最大得分不满意过关条件的矩阵」。

最大得分不知足过关条件的矩阵
求「矩阵」的最大得分是三个「托特包难点」,求解的算法不难:对前段时间矩阵用「递归」的款型把拥有的解除分支都实施叁次,并取最高分值。但是javascript 的「递归」极易「栈溢出」导致算法无法试行。

实质上在新浪的话题中关系一个减轻方案:

英特网查到有前后相继提出做个工具随便生成关卡,自动总括,把相符得分条件的卡子筛选出来

以此施工方案代价是高昂的!作者提供有源码并从未缓和这么些主题素材,而是用一个相比较取巧的措施:步向游玩前检查是事为「不可能消逝矩阵」,如若是再一次生成关卡矩阵

只顾:小编使用的取巧方案并从未解决难点。

活动识图

作者在录加入关贸总协定协会卡配置时,发掘叁个7条边以上的交接图比较轻松录错或录重线段。小编在思维是或不是开荒一个自动识别图形的插件,终归「单笔画」的图片是有法则的几何图形。

图片 7

地方的卡子「底图」,一眼就可以识出四个颜色:

  • 白底
  • 端点颜色
  • 线条颜色

再正是那三种颜色在「底图」的面积大小顺序是:白底 > 线段颜色 > 端点颜色。底图的「采撷色值表算法」非常粗略,如下伪代码:

JavaScript

let imageData = ctx.getImageData(); let data = imageData.data; // 色值表 let clrs = new Map(); for(let i = 0, len = data.length; i < len; i += 4) { let [r, g, b, a] = [data[i], data[i + 1], data[i + 2], data[i + 3]]; let key = `rgba(${r}, ${g}, ${b}, ${a})`; let value = clrs.get(key) || {r, g, b, a, count: 0}; clrs.has(key) ? ++value.count : clrs.set(rgba, {r, g, b, a, count}); }

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let imageData = ctx.getImageData();
let data = imageData.data;
// 色值表
let clrs = new Map();
for(let i = 0, len = data.length; i < len; i += 4) {
let [r, g, b, a] = [data[i], data[i + 1], data[i + 2], data[i + 3]];
let key = `rgba(${r}, ${g}, ${b}, ${a})`;
let value = clrs.get(key) || {r, g, b, a, count: 0};
clrs.has(key) ? ++value.count : clrs.set(rgba, {r, g, b, a, count});
}

对此连通图来讲,只要把端点识别出来,连通图的概貌也就出去了。

258.        50、删除“002”同学的“001”课程的大成 

Reconstruction of Solid Models from Oriented Points Sets(M.l Kazhdan)

7. 结语

上面是本文介绍的「清除星星」的线上 DEMO 的二维码:

图片 8

打闹的源码托管在:

多谢意志力阅读完本文章的读者。本文仅表示笔者的个人观点,如有不妥之处请多多点拨。
比如对「H5游戏开拓」感兴趣,款待关心我们的专栏。

端点识别

一手遮天上,通过收集的「色值表」能够间接把端点的坐标志别出来。作者设计的「端点识别算法」分以下2步:

  1. 按像素扫描底图直到遭遇「端点颜色」的像素,步向第二步
  2. 从底图上革除端点并记下它的坐标,再次回到继续第一步

伪代码如下:

JavaScript

for(let i = 0, len = data.length; i < len; i += 4) { let [r, g, b, a] = [data[i], data[i + 1], data[i + 2], data[i + 3]]; // 当前像素颜色归于端点 if(isBelongVertex(r, g, b, aState of QatarState of Qatar { // 在 data 中清空端点 vertex = clearVertex(i卡塔尔; // 记录端点信息vertexes.push(vertextState of Qatar; } }

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for(let i = 0, len = data.length; i < len; i += 4) {
let [r, g, b, a] = [data[i], data[i + 1], data[i + 2], data[i + 3]];
// 当前像素颜色属于端点
if(isBelongVertex(r, g, b, a)) {
// 在 data 中清空端点
vertex = clearVertex(i);
// 记录端点信息
vertexes.push(vertext);
}
}

But… 上面的算法只好跑无损图。笔者在运用了一张手机截屏做测验的时候发掘,采摘到的「色值表」长度为 5000+ !那直接产生端点和线条的色值无法直接拿走。

因而深入分析,能够开采「色值表」里多数色值都以雷同的,也正是在原本的「搜集色值表算法」的底子上增加三个像样颜色过滤即能够寻觅端点和线条的主色。伪代码达成如下:

JavaScript

let lineColor = vertexColor = {count: 0}; for(let clr of clrs卡塔尔国 { // 与底色周围,跳过 if(isBelongBackground(clr卡塔尔(قطر‎卡塔尔国 continue; // 线段是数据第二多的颜色,端点是第三多的水彩 if(clr.count > lineColor.countState of Qatar { [vertexColor, lineColor] = [lineColor, clr] } }

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let lineColor = vertexColor = {count: 0};
for(let clr of clrs) {
// 与底色相近,跳过
if(isBelongBackground(clr)) continue;
// 线段是数量第二多的颜色,端点是第三多的颜色
if(clr.count > lineColor.count) {
[vertexColor, lineColor] = [lineColor, clr]
}
}

取到端点的主色后,再跑壹遍「端点识别算法」后居识别出 203 个端点!那是干什么吧?

图片 9

上海教室是扩充5倍后的底图局地,玉石白端点的方圆和在那之中充斥着大批量噪点(杂色块)。事实上在「端点识别」进度中,由于噪点的存在,把原来的端点被分解成十八个或数十三个小端点了,以下是跑过「端点识别算法」后的底图:

图片 10

通过上海教室,能够直观地搜查缴获一个定论:识别出来的小端点只在对象(大)端点上汇聚布满,并且大端点范围内的小端点叠合交错。

设若把叠加交错的小端点合并成三个多边点,那么那么些大端点将不胜相通目标端点。小端点的统黄金年代伪代码如下:

JavaScript

for(let i = 0, len = vertexes.length; i < len - 1; ++i) { let vertexA = vertexes[i]; if(vertextA === undefined卡塔尔国 continue; // 注意这里 j = 0 实际不是 j = i +1 for(let j = 0; j < len; ++j卡塔尔(قطر‎ { let vertexB = vertexes[j]; if(vertextB === undefined卡塔尔国 continue; // 点A与点B有增大,点B归总到点A并剔除点B if(isCross(vertexA, vertexB卡塔尔国卡塔尔国 { vertexA = merge(vertexA, vertexB卡塔尔; delete vertexA; } } }

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for(let i = 0, len = vertexes.length; i < len - 1; ++i) {
let vertexA = vertexes[i];
if(vertextA === undefined) continue;
// 注意这里 j = 0 而不是 j = i +1
for(let j = 0; j < len; ++j) {
let vertexB = vertexes[j];
if(vertextB === undefined) continue;
// 点A与点B有叠加,点B合并到点A并删除点B
if(isCross(vertexA, vertexB)) {
vertexA = merge(vertexA, vertexB);
delete vertexA;
}
}
}

加了小端点归总算法后,「端点识别」的正确度就上去了。经作者本地质度量试已经足以 100% 识别有损的接入图了。

(4)总计每门课程的学员选修人数(超越10人的课程才总括)。要求输出课程号和选修人数,查询结果按人口降序排列,若人数相像,按学科号升序排列。
    SELECT DISTINCT C#,COUNT(S#)
    FROM SC
    GROUP BY C#
    HAVING COUNT(S#)>10
    ORDER BY 2 DESC, C# ASC

PSU Near-Regular Texture Database(S. Lee, Y. Liu)

3.2 消弭砖块

「灭亡砖块」的准绳很简单 —— 隔壁相连通相通色即能够消弭

图片 11
前五个组成相符「相邻相连通雷同色即能够打消」,所以它们得以被免去;第多个组成即便「相邻相仿色」但是不「相连结」所以它无法被破除。

「衰亡砖块」的还要有叁个根本的职责:生成砖块对应的分值。在「游戏准绳」中,小编曾经提供了对应的数学公式:「扼杀砖块得分值 = 10 * i + 5」。

「消逝砖块」算法完成如下:

JavaScript

function clean(tile) { let count = 1; let sameTiles = searchSameTiles(tile); if(sameTiles.length > 0) { deleteTile(tile); while(true) { let nextSameTiles = []; sameTiles.forEach(tile => { nextSameTiles.push(...searchSameTiles(tile)); makeScore(++count * 10 + 5State of Qatar; // 标志当前分值 deleteTile(tile卡塔尔(قطر‎; // 删除砖块 }State of Qatar; // 息灭完结,跳出循环 if(next萨姆eTiles.length === 0卡塔尔 break; else { sameTiles = nextSameTiles; } } } }

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function clean(tile) {
let count = 1;
let sameTiles = searchSameTiles(tile);
if(sameTiles.length > 0) {
deleteTile(tile);
while(true) {
let nextSameTiles = [];
sameTiles.forEach(tile => {
nextSameTiles.push(...searchSameTiles(tile));
makeScore(++count * 10 + 5); // 标记当前分值
deleteTile(tile); // 删除砖块
});
// 清除完成,跳出循环
if(nextSameTiles.length === 0) break;
else {
sameTiles = nextSameTiles;
}
}
}
}

打消的算法使用「递归」逻辑上会清晰一些,可是「递归」在浏览器上轻易「栈溢出」,所以作者未有动用「递归」实现。

线条识别

小编分五个步骤完结「线段识别」:

  1. 加以的八个端点连接成线,并搜聚连线上N个「样品点」;
  2. 遍历样品点像素,假设像素色值不对等线段色值则表示那七个端点之间不设有线段

哪些搜聚「样式点」是个难点,太密集会耳熏目染属性;太疏松精准度不可能作保。

在笔者近日有多少个选项:N 是常量;N 是变量。
假设 N === 5。局部提取「样式点」如下:

图片 12

上海教室,会识别出三条线条:AB, BC 和 AC。而事实上,AC不可能成线,它只是因为 AB 和 BC 视觉上共一线的结果。当然把 N 值向上升高能够缓慢解决这几个难点,但是 N 作为常量的话,那一个常量的取量要求靠经历来判别,果然扬弃。

为了防止 AB 与 BC 同处一直线时 AC 被辨认成线段,其实非常轻易 —— 五个「样品点」的间距小于或等于端点直径
假设 N = S / (2 * R),S 代表两点的相距,瑞鹰表示端点半径。局地提取「样式点」如下:

图片 13

如上海体育地方,成功地绕过了 AC。「线段识别算法」的伪代码完成如下:

JavaScript

for(let i = 0, len = vertexes.length; i < len - 1; ++i) { let {x: x1, y: y1} = vertexes[i]; for(let j = i + 1; j < len; ++j) { let {x: x2, y: y2} = vertexes[j]; let S = Math.sqrt(Math.pow(x1 - x2, 2) + Math.pow(y1 - y2, 2)); let N = S / (R * 2卡塔尔; let stepX = (x1 - x2卡塔尔(قطر‎ / N, stepY = (y1 - y2卡塔尔国 / n; while(--N卡塔尔 { // 样板点不是线段色 if(!isBelongLine(x1 + N * stepX, y1 + N * stepY卡塔尔(قطر‎卡塔尔国 break; } // 样板点都合格 ---- 表示两点成线,保存 if(0 === N卡塔尔 lines.push({x1, y1, x2, y2}State of Qatar } }

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for(let i = 0, len = vertexes.length; i < len - 1; ++i) {
let {x: x1, y: y1} = vertexes[i];
for(let j = i + 1; j < len; ++j) {
let {x: x2, y: y2} = vertexes[j];
let S = Math.sqrt(Math.pow(x1 - x2, 2) + Math.pow(y1 - y2, 2));
let N = S / (R * 2);
let stepX = (x1 - x2) / N, stepY = (y1 - y2) / n;
while(--N) {
// 样本点不是线段色
if(!isBelongLine(x1 + N * stepX, y1 + N * stepY)) break;
}
// 样本点都合格 ---- 表示两点成线,保存
if(0 === N) lines.push({x1, y1, x2, y2})
}
}

1.   Student(S#,Sname,Sage,Ssex) 学生表 

DotCount: count the number of dots in an image (M. Reuter)

3. Model

10 x 10 的报表用长度为 100 的数组可周密映射游戏的个别「砖块」。

[ R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P, R, R, G, G, B, B, Y, Y, P, P ]

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[
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P,
R, R, G, G, B, B, Y, Y, P, P
]

奥德赛 – 海螺红,G – 樱桃红,B – 葡萄紫,Y – 草绿,P – 中黄。Model 的为主职务是以下三个:

  • 变化砖墙
  • 消灭砖块 (生成砖块分值)
  • 做实砖墙
  • 灭绝残砖 (生成表彰分值)

H5游戏开荒:一笔画

2017/11/07 · HTML5 · 游戏

初藳出处: 坑坑洼洼实验室   

图片 14

219.        39、求选了学科的学童人数 

Virtual LEGO(J. Y. Oh)

2. MVC 设计方式

笔者本次又是利用了 MVC 情势来写「解除星星」。星星「砖块」的数据构造与各个意况由 Model 完结,游戏的为主在 Model 中成功;View 映射 Model 的变化并做出相应的表现,它的任务珍视是显得动漫;客户与游乐的互相由 Control 完毕。

从逻辑规划上看,Model 非常重而View 与 Control 超级轻,可是,从代码量上看,View 超重而 Model 与 Control 相对十分轻。

底图绘制

「一笔画」是多关卡的嬉戏格局,作者决定把关卡(连通图)的定制以四个结构接口的款型对外暴光。对外暴光关卡接口必要有后生可畏套描述连通图形状的正经,而在作者日前有三个选拔:

  • 点记法
  • 线记法

举个连通图 —— 五角星为例来讲一下那多少个选项。

图片 15

点记法如下:

JavaScript

levels: [ // 当前关卡 { name: "五角星", coords: [ {x: Ax, y: Ay}, {x: Bx, y: By}, {x: Cx, y: Cy}, {x: Dx, y: Dy}, {x: Ex, y: Ey}, {x: Ax, y: Ay} ] } ... ]

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levels: [
// 当前关卡
{
name: "五角星",
coords: [
{x: Ax, y: Ay},
{x: Bx, y: By},
{x: Cx, y: Cy},
{x: Dx, y: Dy},
{x: Ex, y: Ey},
{x: Ax, y: Ay}
]
}
...
]

线记法如下:

JavaScript

levels: [ // 当前关卡 { name: "五角星", lines: [ {x1: Ax, y1: Ay, x2: Bx, y2: By}, {x1: Bx, y1: By, x2: Cx, y2: Cy}, {x1: Cx, y1: Cy, x2: Dx, y2: Dy}, {x1: Dx, y1: Dy, x2: Ex, y2: Ey}, {x1: Ex, y1: Ey, x2: Ax, y2: Ay} ] } ]

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levels: [
// 当前关卡
{
name: "五角星",
lines: [
{x1: Ax, y1: Ay, x2: Bx, y2: By},
{x1: Bx, y1: By, x2: Cx, y2: Cy},
{x1: Cx, y1: Cy, x2: Dx, y2: Dy},
{x1: Dx, y1: Dy, x2: Ex, y2: Ey},
{x1: Ex, y1: Ey, x2: Ax, y2: Ay}
]
}
]

「点记法」记录关卡通过海关的一个答案,即端点要按一定的种种存放到数组 coords中,它是有序性的笔录。「线记法」通过两点描述连通图的线条,它是无序的记录。「点记法」最大的优势是显现更简明,但它必需记录三个过关答案,小编只是关卡的苦力不是关卡制造者,所以我最终筛选了「线记法」。:)

 9、查询贩卖总金额最高的业务员的号码。

jot: NPR library

H5游戏开辟:肃清星星

2018/01/25 · HTML5 · 游戏

原版的书文出处: 坑坑洼洼实验室   

「清除星星」是蓬蓬勃勃款很杰出的「消亡类游戏」,它的游戏的方法非常的粗略:消灭相连通的同色砖块。

图片 16

结语

上边是本文介绍的「单笔画」的线上 DEMO 的二维码:

图片 17

游玩的源码托管在:
中间玩耍完成的宗旨代码在:
自行识图的代码在:

多谢意志阅读完本小说的读者。本文仅代表我的个人观点,如有不妥之处请不吝指教。

谢谢您的开卷,本文由 坑坑洼洼实验室 版权全部。假设转发,请证明出处:凹凸实验室()

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图片 18

          班级代码、学子姓名、语文成绩、数学成绩、外语成绩。

Mass Spring System: A general 3D mass-spring system(J. Barbic)

3.4 肃清残砖

上一小节提到了「描述墙体的边界并记录墙体的抽象」的「列集结」,小编是一向动用这些「列集结」来消除残砖的,伪代码如下:

JavaScript

function clearAll() { let count = 0; for(let col = 0, len = this.wall.length; col < len; ++col) { let colInfo = this.wall[col]; for(let row = colInfo.start; row <= colInfo.end; ++row) { let tile = this.grid[row * this.col + col]; tile.score = -20 - 40 * count++; // 标志表彰分数 tile.removed = true; } } }

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function clearAll() {
let count = 0;
for(let col = 0, len = this.wall.length;  col < len; ++col) {
let colInfo = this.wall[col];
for(let row = colInfo.start; row <= colInfo.end; ++row) {
let tile = this.grid[row * this.col + col];
tile.score = -20 - 40 * count++; // 标记奖励分数
tile.removed = true;
}
}
}

游戏的贯彻

「一笔画」的兑现不复杂,小编把贯彻进程分成两步:

  1. 底图绘制
  2. 相互绘制

「底图绘制」把连通图以「点线」的样式显得在画布上,是游玩最轻易达成的一些;「交互作用绘制」是客户绘制解题路线的经过,那些进度会主若是管理点与点动态成线的逻辑。

16、找寻Computer系(JSJ卡塔尔(قطر‎课程平均分最高的上学的儿童学号和姓名。

Bounded Biharmonc Weights for Real-Time Deformation(A. Jacobson, I. Baran, J. Popović, O. Sorkine)

4. View

View 首要的效果有七个:

  • UI 管理
  • 映射 Model 的变化(动画)

UI 管理主借使指「分界面绘制」与「财富加载管理」,这两项成效相比较高高挂起本文就平昔略过了。View 的本位是「映射 Model 的退换」并完结对应的卡通。动漫是繁体的,而映射的原理是粗略的,如下伪代码:

JavaScript

update({originIndex, index, clr, removed, score}卡塔尔 { // 尚未originIndex 或尚未色值,直接不管理 if(originIndex === undefined || clr === undefinedState of Qatar return ; let tile = this.tiles[originIndex]; // tile 存在,判别颜色是或不是同样 if(tile.clr !== clr卡塔尔 { this.updateTileClr(tile, clr卡塔尔(قطر‎; } // 当前目录变化 ----- 表示地点也许有生成 if(tile.index !== indexState of Qatar{ this.updateTileIndex(tile, index卡塔尔国; } // 设置分数 if(tile.score !== score) { tile.score = score; } if(tile.removed !== removed卡塔尔(قطر‎ { // 移除或加上圈套前节点 true === removed ? this.bomb(tileState of Qatar : this.area.addChild(tile.sprite卡塔尔(قطر‎; tile.removed = removed; } }

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update({originIndex, index, clr, removed, score}) {
// 还没有 originIndex 或没有色值,直接不处理
if(originIndex === undefined || clr === undefined) return ;
let tile = this.tiles[originIndex];
// tile 存在,判断颜色是否一样
if(tile.clr !== clr) {
this.updateTileClr(tile, clr);
}
// 当前索引变化 ----- 表示位置也有变化
if(tile.index !== index) {
this.updateTileIndex(tile, index);
}
// 设置分数
if(tile.score !== score) {
tile.score = score;
}
if(tile.removed !== removed) {
// 移除或添加当前节点
true === removed ? this.bomb(tile) : this.area.addChild(tile.sprite);
tile.removed = removed;
}
}

Model 的砖头每一次数据的改观都会通报到 View 的砖块,View 会依据对应的成形做相应的动作(动漫)。

属性优化

是因为「自动识图」必要对图像的的像素点实行围观,那么质量确实是个需求关爱的难点。作者设计的「自动识图算法」,在辨别图像的进程中供给对图像的像素做四遍扫描:「收罗色值表」 与 「收集端点」。在围观次数上其实很难下落了,可是对于一张 750 * 1334 的底图来讲,「自动识图算法」必要遍历几回长度为 750 * 1334 * 4 = 4,002,000 的数组,压力仍旧会有的。笔者是从压缩被围观数组的尺码来提高品质的。

被扫描数组的尺寸怎么压缩?
我直接通过压缩画布的尺寸来实现减弱被扫描数组尺寸的。伪代码如下:

JavaScript

// 要裁减的翻番 let resolution = 4; let [width, height] = [img.width / resolution >> 0, img.height / resolution >> 0]; ctx.drawImage(img, 0, 0, width, height); let imageData = ctx.getImageData(), data = imageData;

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// 要压缩的倍数
let resolution = 4;
let [width, height] = [img.width / resolution >> 0, img.height / resolution >> 0];
ctx.drawImage(img, 0, 0, width, height);
let imageData = ctx.getImageData(), data = imageData;

把源图片减弱4倍后,拿到的图形像素数组独有原本的 4^2 = 16倍。那在质量上是十分大的进级。

172.              SELECT t1.S# as 学生ID,t1.C# as 课程ID,Score as 分数 

CNC: CUDA sparse symmetric matrix solver(L. Buatois, G. Caumon, B. Levy)

1. 游戏准绳

「消逝星星」存在四个版本,可是它们的法则除了「关卡分值」某个出入外,此外的平整都以大同小异的。作者介绍的版本的游戏准则收拾如下:

1. 色砖布满

  • 10 x 10 的表格
  • 5种颜色 —— 红、绿、蓝,黄,紫
  • 每类色砖个数在钦点区间内随机
  • 5类色砖在 10 x 10 表格中随机布满

2. 免除法则

多少个或五个以上同色砖块相连通正是可被消除的砖头。

3. 分值准绳

  • 清除总分值 = n * n * 5
  • 嘉勉总分值 = 二〇〇一 – n * n * 20

「n」表示砖块数量。下面是「总」分值的条条框框,还应该有「单」个砖块的分值准绳:

  • 扑灭砖块得分值 = 10 * i + 5
  • 剩余砖块扣分值 = 40 * i + 20

「i」表示砖块的索引值(从 0 初叶)。轻松地说,单个砖块「得分值」和「扣分值」是三个等差数列。

4. 关卡分值

关卡分值 = 1000 + (level – 1卡塔尔(قطر‎ * 2001;「level」前日前关卡数。

5. 合格条件

  • 可免除色块官样文章
  • 生机勃勃共分值 >= 当前关卡分值

地点多个规格还要创设游戏才可以过得去。

人机联作绘制

在画布上绘制路线,从视觉上实属「选用或三番五次连通图端点」的进度,这一个进度必要减轻2个难点:

  • 手指下是或不是有端点
  • 当选点到待选中式茶食时期是不是成线

收罗连通图端点的坐标,再监听手指滑过的坐标可以见到「手指下是或不是有一点」。以下伪代码是访谈端点坐标:

JavaScript

// 端点坐标音信 let coords = []; lines.forEach(({x1, y1, x2, y2}卡塔尔=> { // (x1, y1卡塔尔 在 coords 数组不真实 if(!isExist(x1, y1)) coords.push([x1, y1]卡塔尔(قطر‎; // (x2, y2卡塔尔国 在 coords 数组不设有 if(!isExist(x2, y2)) coords.push([x2, y2]); });

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// 端点坐标信息
let coords = [];
lines.forEach(({x1, y1, x2, y2}) => {
// (x1, y1) 在 coords 数组不存在
if(!isExist(x1, y1)) coords.push([x1, y1]);
// (x2, y2) 在 coords 数组不存在
if(!isExist(x2, y2)) coords.push([x2, y2]);
});

以下伪代码是监听手指滑动:

JavaScript

easel.addEventListener("touchmove", e => { let x0 = e.targetTouches[0].pageX, y0 = e.targetTouches[0].pageY; // 端点半径 ------ 取连通图端点半径的2倍,提高活动端体验 let r = radius * 2; for(let [x, y] of coords卡塔尔(قطر‎{ if(Math.sqrt(Math.pow(x - x0, 2卡塔尔(قطر‎ + Math.pow(y - y0卡塔尔国, 2卡塔尔国 <= rState of Qatar{ // 手指下有端点,判定是还是不是连线 if(canConnect(x, yState of Qatar卡塔尔(قطر‎ { // todo } break; } } }卡塔尔国

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easel.addEventListener("touchmove", e => {
let x0 = e.targetTouches[0].pageX, y0 = e.targetTouches[0].pageY;
// 端点半径 ------ 取连通图端点半径的2倍,提升移动端体验
let r = radius * 2;
for(let [x, y] of coords){
if(Math.sqrt(Math.pow(x - x0, 2) + Math.pow(y - y0), 2) <= r){
// 手指下有端点,判断能否连线
if(canConnect(x, y)) {
// todo
}
break;
}
}
})

在未绘制任何线段或端点早先,手指滑过的任性端点都会被作为「一笔画」的发轫点;在绘制了线段(或有选中式点心)后,手指滑过的端点能不能够与选中式茶食串连成线段须求依靠现存基准进行剖断。

图片 19

上海教室,点A与点B可总是成线段,而点A与点C不能够三回九转。小编把「能够与内定端点连接成线段的端点称作实用连接点」。连通图端点的有用连接点从连通图的线条中提取:

JavaScript

coords.forEach(coord => { // 有效连接点(坐标)挂载在端点坐标下 coord.validCoords = []; lines.forEach(({x1, y1, x2, y2}卡塔尔国 => { // 坐标是近些日子线段的起源 if(coord.x === x1 && coord.y === y1卡塔尔(قطر‎ { coord.validCoords.push([x2, y2]卡塔尔国; } // 坐标是当下线段的终端 else if(coord.x === x2 && coord.y === y2State of Qatar { coord.validCoords.push([x1, y1]); } }) })

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coords.forEach(coord => {
// 有效连接点(坐标)挂载在端点坐标下
coord.validCoords = [];
lines.forEach(({x1, y1, x2, y2}) => {
// 坐标是当前线段的起点
if(coord.x === x1 && coord.y === y1) {
coord.validCoords.push([x2, y2]);
}
// 坐标是当前线段的终点
else if(coord.x === x2 && coord.y === y2) {
coord.validCoords.push([x1, y1]);
}
})
})

But…有效连接点只可以判别七个点是不是为底图的线条,这只是贰个静态的参谋,在实质上的「人机联作绘制」中,会遭受以下景况:

图片 20
如上海教室,AB已串连成线段,当前选中式茶食B的管事连接点是 A 与 C。AB 已经一而再一而再成线,倘使 BA 也串连成线段,那么线段就再一次了,所以当时 BA 不能够成线,独有 AC 本领成线。

对选中式茶食来说,它的可行连接点有二种:

  • 与选中式茶食「成线的有用连接点」
  • 与选中式茶食「未成线的得力连接点」

里头「未成线的实惠连接点」本领参加「交互作用绘制」,並且它是动态的。

图片 21

回头本节内容伊始提的多少个难点「手指下是还是不是有端点」 与 「选中式点心到待选中式茶食时期是不是成线」,其实可统风华正茂为三个标题:手指下是不是存在「未成线的实用连接点」。只须把监听手指滑动遍历的数组由连通图全数的端点坐标 coords 替换为当前选中式茶食的「未成线的有效性连接点」就能够。

由来「一笔画」的严重性职能已经落到实处。能够超越体验一下:

图片 22

 3、查询1001学科未有实际业绩的学习者的学号。

El Topo(robust surface tracking with triangle meshes) (T. Brochu, R. Bridson)

参谋资料

  • Knapsack problem
  • NP-completeness
  • popstar关卡是怎么计划的?
  • 费雪耶兹乱序算法
  • 不定均分算法

    1 赞 收藏 评论

图片 23

H5游戏开采:一笔画

by leeenx on 2017-11-02

一笔画是图论[科普](https://zh.wikipedia.org/wiki/%E5%9B%BE%E8%AE%BA)中叁个让人侧目标难题,它起点于柯金沙萨堡七桥难点[科普](https://zh.wikipedia.org/wiki/%E6%9F%AF%E5%B0%BC%E6%96%AF%E5%A0%A1%E4%B8%83%E6%A1%A5%E9%97%AE%E9%A2%98)。科学家欧拉在他1736年刊出的散文《柯热那亚堡的七桥》中不仅缓和了七桥难题,也提议了一笔画定理,顺带解决了一笔画难题。用图论的术语来讲,对于二个加以的连通图[科普](https://zh.wikipedia.org/wiki/%E8%BF%9E%E9%80%9A%E5%9B%BE)留存一条刚巧含有所有线段並且未有再度的门路,那条路径就是「一笔画」。

招来连通图那条路径的历程正是「一笔画」的游乐经过,如下:

图片 24

       商品表1(商品代号 char(8卡塔尔,分类名 char(8卡塔尔,单价 float,数量 intState of Qatar

free-surface 2D liquid solver with irregular static obstacles(C. Batty, F. Bertails, R. Bridson)

3.1 生成砖墙

砖墙分两步生成:

  • 色砖数量分配
  • 击溃色砖

一手遮天上,能够将 100 个格子可以均分到 5 类颜色,可是笔者玩过的「撤除星星」都不利用均分政策。通过深入分析四款「消释星星」,其实可以发现一个准绳—— 「色砖之间的数量差在一个稳住的间距内」。

固然把古板意义上的均分称作「完全均分」,那么「解除星星」的分配是风流洒脱种在均分线上下波动的「不完全均分」。

图片 25

小编把下边包车型大巴「不完全均分」称作「波动均分」,算法的现实落到实处能够敬重「不定均分算法」。

「制服色砖」其实就是将数组乱序的长河,小编推荐应用「 费雪耶兹乱序算法」。

以下是伪代码的贯彻:

JavaScript

// 波动均分色砖 waveaverage(5, 4, 4卡塔尔(قطر‎.forEach( // tiles 即色墙数组 (count, clrState of Qatar => tiles.concat(generateTiles(count, clr卡塔尔(قطر‎State of Qatar; 卡塔尔(قطر‎; // 打败色砖 shuffle(tiles卡塔尔国;

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// 波动均分色砖
waveaverage(5, 4, 4).forEach(
// tiles 即色墙数组
(count, clr) => tiles.concat(generateTiles(count, clr));
);
// 打散色砖
shuffle(tiles);

    注意本题也足以用三番四次做

TRIANGLE: 2D high-quality exact/constrained/conforming Delaunay triangulations(J. Shewchuk)

5. Control

Control 要拍卖的事情相当多,如下:

  • 绑定 Model & View
  • 变迁通过海关分值
  • 认清通关条件
  • 对外交事务件
  • 顾客人机联作

开始化时,Control 把 Model 的砖块单向绑定到 View 的砖块了。如下:

Object.defineProperties(model.tile, { originIndex: { get() {...}, set(){ ... view.update({originIndex}) } }, index: { get() {...}, set() { ... view.update({index}) } }, clr: { get() {...}, set() { ... view.update({clr}) } }, removed: { get() {...}, set() { ... view.update({removed}) } }, score: { get() {...}, set() { ... view.update({score}) } } })

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Object.defineProperties(model.tile, {
    originIndex: {
        get() {...},
        set(){
            ...
            view.update({originIndex})
        }
    },  
    index: {
        get() {...},
        set() {
            ...
            view.update({index})
        }
    },
    clr: {
        get() {...},
        set() {
            ...
            view.update({clr})
        }
    },
    removed: {
        get() {...},
        set() {
            ...
            view.update({removed})
        }
    },  
    score: {
        get() {...},
        set() {
            ...
            view.update({score})
        }
    }
})
 

「通过海关分值」与「剖断通过海关条件」那对逻辑在本文的「游戏准则」中有连带介绍,这里不再赘述。

对外交事务件规划如下:

name detail
pass 通关
pause 暂停
resume 恢复
gameover 游戏结束

顾客交互作用 APIs 规划如下:

name type deltail
init method 初始化游戏
next method 进入下一关
enter method 进入指定关卡
pause method 暂停
resume method 恢复
destroy method 销毁游戏

    本题能够分三步做:

Techniques for Interactive Ray Tracing of Bézier Surfaces(C. Benthin, I. Wald, P. Slusallek)

四、填空 (每空1分,共20分)

PCA-Based Relighting Framework(S. Enrique, R. Ramamoorthi)

 

Random or Uniform points on a sphere[Page] (J. O'Rourke)

    Selectavg(sage) from s,sc where s.sno=sc.sno and cno='7'

Inverse Kinematics for Serial Manipulators(D. Manocha, Y. Zhu)

3.3 设有两个主导表Evoque(A,B,C)和S(D,E,F),试用SQL查询语句表述下列关系代数表明式:
  (1)πA(R)(2)σB='17'(R)(3)R×S(4))πA,FC=D(R×S))
(1)SELECT A FROM R
(2)SELECT * FROM R WHERE B='17'
(3)SELECT A,B,C,D,E,F FROM R,S
(4)SELECT A,F FROM R,S WHERE R.C=S.D

A Simple Fluid Solver Based on the FFT(J. Stam)

        where 学生号 in (select 学生号

QPoly: meshing scattered 3D points(Y. Ohtake)

67.          ,(SELECT score FROM SC WHERE SC.S#=t.S# AND C#='004') AS 数据库 

Computing the Moment of Inertia of a Solid Defined by a Triangle Mesh(M. Kallay)

    where sno notin ( Select sno from sc,c_avg

Sensitive Couture for Interactive Garment Editing and Modeling[2] (N. Umetani, D. Kaufman, T. Igarashi, E. Grinspun)

13.      from sc 

Streaming Meshes(M. Isenburg, P. Lindstrom)

41.      select Student.S#,Student.Sname 

mesh-talent (gauss-newton solver, (unknown) graph-based mesh deformation) (Authors)

3.12SQL的晤面管理方式与宿主语言单记录管理情势之间什么协调?
    由于SQL语句管理的是记录集结,而宿主语言语句一次只能管理三个记录, 由此需求用游标(cousor卡塔尔国机制,把群集操作调换来单记录管理情势。

Aachen photo dataset(photos, SIFT descriptors, 3D reconstruction) (T. Sattler)

          wherestudent.sno=sc.sno and sc.cno=course.cno and

efpisoft: hierarchical mesh segmentation based on fitting primitives(M. Attene)

165.            FROM (SELECT S#,AVG(score卡塔尔 平均成绩 

Efficient Implementation of Marching Cubes’ Cases with Topological Guarantees(T. Lewiner, H. Lopes, A. Viera, G. Tavares)

          科目、去掉一个低于分后的平分成绩。

glSoftShadowOpenGL soft shadows implementation (U. Borgenstam, J. Svensson)

8.     select a.S# from (select s#,score from SC where C#='001') a,(select s#,score 

Hybrid Texture Synthesis[Page] (A. Nealen, M. Alexa)

3.7 试用SQL更新语句表明对教学数据库中四个大旨表S、SC、C的逐蓬蓬勃勃更新操作:
(1)往基本表S中插入三个上学的小孩子元组(‘S9’,‘WU’,18)。
    INSERT INTO S(S#,SNAME,AGE) VALUES('59','WU',18)
(2)在基本表S中搜索每一门科目成绩都不仅仅等于80分的学习者学号、姓名和性别,并把检索到的值送往另一个已存在的基本表STUDENT(S#,SANME,SEX)。
    INSERT INTO STUDENT(S#,SNAME,SEX)
     SELECT S#,SNAME,SEX
     FROM S WHERE  NOT EXISTS
      (SELECT * FROM SC WHERE
       GRADE<80 AND S.S#=SC.S#)

Texture Stitching by Estimating the Laplace-Beltrami Operator by Restricting 3D Functions(M. Kazhdan)

28.    select Student.S#,Student.Sname from Student,SC where Student.S#=SC.S# and SC.C#='001'and exists( Select * from SC as SC_2 where SC_2.S#=SC.S# and SC_2.C#='002'); 

FDim: compute fractal dimension of grayscale image (Capacity Dimension, Information Dimension, Correlation Dimension, Probability Dimension) (M. Reuter)

    havingcount(*)>5

ShapeAnnotatorsegmentation tool (fitting primitives, barycentric/height/integral geodesic Morse, Plumber, Lloyd clustering)(Authors)

 

manifold harmonics shape deformation(B. Vallet, B. Lévy)

    group bysc.sno,sname

UNC GAMMA Collision Detection/Proximity Query Packages(penetration depth, intersection detection, tolerance verification, exact and approximate distance computation, separation distance, contact determination, Minkowski sums, Lin-Canny closest features, uniform grid spatial decomposition, OBB/Swept-Sphere/convex-hull bounding-volume hierarchies, polygon soups, rigid motion)

92.      where t.C#=course.C# 

An Image Inpainting Technique Based on the Fast Marching Method(A. Telea)

75.      SELECT L.C# As 课程ID,L.score AS 最高分,R.score AS 最低分 

Anti-Grain Geometry Project(high-quality and efficient 2D software rasterizer: subpixel antialiasing, arbitrary polygons, gradients and gouraud shading, image filtering, bilinear, bicubic, spline16, spline32, sinc, blackman, strokes with joins and caps, dashed lines, head/tail markers, arrows, polygon clipping, alpha-masking, arbitrary images as line patterns, perspective and bilinear transformations, boolean polygon operations) (M. Shemanarev)

    7.Access的客商操作分界面由    标题栏、菜单栏、工作区  、工具栏、状态栏等多个部分构成。

Intersection Test for Collision Detection in Particle Systems(E.-A. Karabassi, G. Papaioannou, T. Theoharis, A. Boehm)

(3)试在上述多个视图的底工上进展多少查询:

TAGL: software rasterizer(B. Levy)

 

Exact Catmull-Clark Subdivision evaluation(and mean-curvature minimization) (F. Hecht)

183.          select SC.S#,Student.Sname,count(C#) AS 选课数 

newmat(C++ dense matrix library [documentation]) (R. Davies)

    注意本题也得以用三回九转做

IsoEx: Feature Sensitive Mesh Extraction(L. Kobbelt, M. Botsch, Schwanecke, H.P. Seidel)

  1. 第一、2

Volume-Meshed Models(Heart, Eiffel Tower, Basket, Bridge, Dragon, Horse, Dinosaur, 3D Spring, Beam) (J. Barbic)

59.      from course ,Teacher  

Triangle Strip Compression(M. Isenburg)

  1. 主码、外码(次序无前后相继)

Blended Intrinsic Maps(V. Kim, Y. Lipman, T. Funkhouser)

204.            Select Sname,isnull(score,0) 

GradientShop: A Gradient-Domain Optimization Framework for Image and Video Filtering(P. Bhat, L. Zitnick)

259.        delete from Sc where S#='001'and C#='001'; 

2D Fast Object Distribution(Halton sequence computation) [Page] (A. Willmott)

    havingmin(CJ)>=60

mview(read/view PMesh/GTS/OFF/COFF/PLY/VRML/Shallo/VTK ASCII POLYDATA/OBJ) (H. Cantzler, T. Breckon)

SQL 演习题答案

Graphite(variational shape approximation,image vectorization) [documentation wiki] (Authors)

    三、填空 (每空1分,共20分)

CGAL(LSCM, discrete conformal/authalic, Floater mean-value, Tutte barycentric) [full packages list] (Authors)

150.                ,SUM(CASE WHEN score BETWEEN 70 AND 85 THEN 1 ELSE 0 END) AS [85 - 70] 

CGAL(mesh simplification, mesh ridges/umbilics, mesh curvature)[full packages list] (Authors)

    连接:

Mesh Ensemble Motion Graphs(D. James, C. Twigg, A. Cove, R. Wang)

126.                              ON SC.S# = T3.S# AND T3.C# = '003' 

Tight Cocone: water-tight Delaunay meshing of point sets using approximate medial axis(T. Dey, S. Goswami, W. Zhao)

    Selectcname,avg(grade) from sc,c

Radiator radiosity system(matrix, progressive, wavelet, clustering) (A. Willmott)

(5)把选修MATHS课不比格的成就全改为空值。
    UPDATE SC
    SET GRADE=NULL
    WHERE GRADE<60 AND C# IN
      (SELECT C#
      FROM C
      WHERE CNAME='MATHS')

Hardware-Accelerated Point Generation and Rendering of Point-Based Impostors(J. Baerentzen)

12.      select S#,avg(score) 

discrete connections and smooth vector fields on triangle meshes(K. Crane, M. Desbrun, P. Schroder)

         ( Select sno from sc where grade<60 )

Jump Map Texture Synthesis(S. Zelinka)

                      where sc.cno=c_avg.cno and grade<avg_grade

Numerics and Optimization

    Selectsname,cno,grade from student,sc

trimeshinfo: compute mesh properties(manifold, genus, orientation, volume, self-intersection, boundaries, connected components, ...) (Authors)

         ( Selectsno from sc where cno='C2' )

Topology-based Smoothing of 2D Scalar Fields with C1-Continuity[Page] (T. Weinkauf, Y. Gingold, O. Sorkine)

16、查询每门课程战表都超过该门课程平均分的学子学号。

UNC Dynamic Mesh Datasets(per-frame meshes, exploding dragon and bunny, cloth simulation, N-body simulation, falling letters)

 4、查询各样学员具有课程的平分成绩,输出学子学号和平均成绩。

meshfix(dilation, intersection test, ensure minimal distance, resolve overlaps, cut using shell, cleanup, (M. Attene)

31.    from Student 

Smooth Two-Dimensional Interpolations: A Recipe for All Polygons(E. Malsch, J. Lin, G. Dasgupta)

46.  12、查询最少学过学号为“001”同学全体一门课的别的同学学号和人名; 

imageblending(Poisson Image Editing) (Authors)

181.          select c#,count(S#) from sc group by C#; 

ETH Face Pose Range Image Data Set(10,000 640x480 range image point sets of 20 moving faces, read/write code) (M. Breitenstein, D. Kuettel, T. Weise, L. van Gool, H. Pfister)

189.        29、查询姓“张”的学生名单 

Multi-scale Compactly Supported Radial Basis Functions(Y. Ohtake)

246.            group  by  s# 

SSBA: Simple Sparse Bundle Adjustment(C. Zach)

 

Data Structures and Compression

55.      select S# from SC where C# in (select C# from SC where S#='1002') 

Gain-Adaptive KLT Tracking and TV-L1 optical flow on the GPU(C. Zach)

 

ShortLoop: computing loops in a shortest homology basis(O. Busaryev, T. Dey, J. Sun, Y. Wang)

161.                          GROUP BY S# 

Stanford Calibration Grid Detector(V. Vaish)

  1. B 9. D  10. B

The Generalized PatchMatch Correspondence Algorithm(C. Barnes, E. Schectman, A. Finkelstein, B. Goldman)

       选课(学生号 char(7),课程号 char(4),成绩 int)

Fast High-Dimensional Filtering Using the Permutohedral Lattice(A. Adams, J. Baek, A. Davis)

    WHERE SC1.SnoNOT IN

Streaming Compression of Delaunay Triangulations(M. Isenburg, Y. Liu, J. Shewchuck, J. Snoeyink)

 

2D laplacian curve editing(O. Sorkine)

    5.下列(    )图标是Access中表对象的标识。

tunicate: robust computational geometry predicates in floating point(R. Bridson)

    FROM SC SC1

3D Photo Pop-Up(D. Hoeim)

3.43.4 设有五个主导表CRUISER(A,B,C)和S(A,B,C)试用SQL查询语句表述下列关系代数表明式:
  (1)R∪S  (2)R∩S  (3)R-S  (4)πA,B(R)πB,C(S)

LightPack(light field authoring and rendering)

10、找寻各种学生的平分成绩,输出学子姓名和平均成绩。

shapeDNA: compute accurate eigenvalues and eigenfunctions of the Laplace Beltrami operator using higher order FEM with Dirichlet or Neumann boundary conditions (cubic FEM, global mesh refinement, tangential smoothing, PLY, SMF, OBJ, OFF, VTK, ASC3D, STL) (M. Reuter)

134.                    TOP 15 WITH TIES 

Fast, Minimum Storage Ray-Triangle Intersection(T. Moller, B. Trumbore)

105.        21、查询差异老师所教不相同科目平均分从高到低显示 

Coons Patches(R. Stimpson)

87.                      ); 

Accurate Multi-dimensional Poisson-disc Sampling(M. Gamito, S. Maddock)

(5)检索最少选修两门学科的学员学号。
    SELECT DISTINCT X.SNO
    FROM SC X,SC Y
    WHERE X.SNO=Y.SNO AND X.CNO<>Y.CNO
Notice:对表SC进行自连接,X,Y是SC的多少个别称。

Graphite(mesh curvature,uniform remeshing,mesh repair,volume meshing,manifold harmonics,appearance-preserving simplification,normal mapping) [documentation wiki] (Authors)

143.                    LEFT JOIN sc AS T4 

Fast and Easy Reach-Cone Joint Limits(J. Wilhelms, A. Van Gelder)

228.          select distinct  A.S#,B.score from SC A  ,SC B where A.Score=B.Score and A.C# <>B.C# ; 

Global Contrast based Salient Region Detection(M-M. Cheng, G-X. Zhang, N. Mitra, X. Huang, S-M. Hu)

144.                              ON sc.S# = T4.S# AND T4.C# = 'k4' 

Curves and Surfaces

    7.Access中包括有(    )种数据类型。

Stanford Volume Data Archive(CThead, MRBrain, CTbunny)

83.          R.Score = (SELECT MIN(IR.score) 

Local Laplacian Filters: Edge-aware Image Processing with a Laplacian Pyramid(S. Paris, S. Hasinoff, J. Kautz)

  (2) SELECTS#,C_NUM
FROMS_GRADE
WHEREAVG_GRADE>80
    允许
   SELECT S#,COUNT(C#) FROM SC WHEREAVG(GRADE)>80

Physically Based Simulation and Animation of Gaseous Phenomena in a Periodic Domain[Page] (A. Nealen)

(9)求年龄大于全部女子高校友年龄的男学子姓名和年龄。
    SELECT SNAME,AGE
    FROM S AS X
    WHERE X.SEX='男' AND X.AGE>ALL (SELECT AGE FROM S AS Y WHERE Y.SEX='女')
除法运算

Shape Diameter Function (SDF) segmentation tool(L. Shapira)

    Select snamefrom s,sc,c

Graphics Conference Paper Link Archive(Ke-Sen Huang)

114.              SC.S# As 学子学号, 

Georgia Tech Large Geometric Models Archive(Bunny,Turbine Blade,skeleton hand,dragon,buddha,horse,visible man,grand canyon,puget sound,angel)

    连接:Select sname from s,sc,c

harmonic oscillator: exact timestepping of 1D ODE (J. Barbic)

 2、寻觅选修课程号为C4的学习者学号与姓名。

MeshFlow: Interactive Visualization of Mesh Construction Sequences(J. Denning, W. Kerr, F. Pellacini)

111.        22、查询如下课程战绩第 3 名到第 6 名的学子战绩单:集团管理(001),Marx(002),UML (003),数据库(004) 

Robust Registration and Template Estimation of 3D MRI Images(unbiased inverse consistent registration, modality rigid registration, outlier detection robust statistics, symmetry, global intensity scaling, automatic sensitivity parameter estyimation, unbiased half-way space) (M. Reuter)

    wherestudent.sno=sc.sno

Infer.Net- Bayesian Inference in Graphical Models (T. Minka, J. Winn, J. Guiver, A. Kannan)

(8)求年龄大于女子学园友平均岁数的男学子姓名和年龄。
    SELECT SNAME,AGE
    FROM S AS X
    WHERE X.SEX='男' AND X.AGE>(SELECT AVG(AGE)FROM S AS Y WHERE Y.SEX='女')

Floating Textures(M. Eisemann)

188.            Select count(Ssex) as 女孩子人数 from Student group by Ssex having Ssex='女'; 

WinOSi(iterative two pass optical simulation raytracing) (M. Granz)

    1)检索法国巴黎的分销商所供应的机件的号码和名字。
    SELECT P#,PNAME FROM VIEW2 WHERE SADDR='SHANGHAI'

mean-value coordinate image cloning(Z. Farbman, G. Hoffer, Y. Lipman, D. Cohen-Or, D. Lischinski)

    1.Access的客户操作分界面由   标题栏、菜单栏、工作区   、工具栏、状态栏等四个部分组成。

2D Polygon Moment of Intertia(C. Batty)

 2、查询姓名中有“明”字的学员人数。

discrete Laplace-Beltrami operator on point clouds[Page] (C. Luo, I. Safa, Y. Wang)

 

A Bidirectional Generating Algorithm for Rational Parametric Curves(Z. Li, L. Ma)

    能够先总括每门课程平均分

Conjugate Gradient with Modified Incomplete Cholesky (level zero) preconditioning(R. Bridson)

 

skin shader(M. Pharr)

   8. a1+b1、a2´b2           9. Õ学生号(X卡塔尔、S  (次序无前后相继)

Fast and Robust Triangle-Triangle Overlap Test using Orientation Predicates(P. Guigue, O. Devillers)

    SELECT DISTINCT Sno

Fast 3D Line Segment—Triangle Intersection Test(N. Chirkov)

 

DANCE(physics-based character animation and simulation) (A. Shapiro, V. Ng-Thow-Hing, P. Faloutsos)

229.     43、查询每门功课成绩最棒的前两名 

EXPLORATION OF CONTINUOUS VARIABILITY IN COLLECTIONS OF 3D SHAPES(M. Ovsjanikov, W. Li, L. Guibas, N. Mitra)

187.            Select count(Ssex) as 匹爱妻数 from Student group by Ssex having Ssex='男'; 

TrueMarble earth image dataset(multiple resolutions from 32km to 250m, PNG and geo-referenced GeoTIFF formats) (Unearthed Outdoors LLC)

210.            where SC.S#=Student.S# and SC.C#=Course.C# ; 

estimating curvature tensors on triangle meshes with CGAL(P. Alliez)

17.    from Student left Outer join SC on Student.S#=SC.S# 

Local Histogram Equalization using Bilateral Grid(J. Chen)

    嵌套:Select sname from student where sno in 

Detail-Replicating Shape Stretching(Implicit mesh fairing using curvature flow, patch-based texture synthesis, octree with ray tracing, bézier splines) (I. Alhashim)

93.      GROUP BY t.C# 

ANN- C++ approximate neareset-neighbours in dimensions ~(8,20) (D. Mount, S. Arya)

                              group by sno

Blue Noise through Optimal Transport(lloyd iteration, voronoi tessellation, arbitrary density functions) (F. de Goes, K. Breeden, V. Ostromoukhov, M. Desbrun)

         ( Selectavg(grade) from sc,c

Bilateral Filter(J. Chen)

173.              FROM SC t1 

face-off: Automatic Facial Feature Detection & Replacement(Authors)

(3)求LIU老师所授课程的每门科目标学终生均战绩。
   SELECT CNAME,AVG(GRADE)
   FROM SC ,C
   WHERE SC.C#=C.C# ANDTEACHER='LIU'
   GROUP BY C#   

ShadeVis: compute per-vertex ambient occlusion term(Authors)

58.      Delect SC 

Spin Transforms of Discrete Surfaces(K. Crane, U. Pinkall, P. Schröder)

212.            SELECT  distinct student.S#,student.Sname,SC.C#,SC.score 

Geometry Videos(H. Bricenno)

244.            select  S#  

MAPC: exact manipulation of algebraic points and curves in the plane (D. Manocha, J. Keyser, T. Culver, M. Foskey, S. Krishnan)

          where 学生.学生号=选课.学生号 and 姓名=@m1

CUDA-Based implementations of SoftAssign and EM-ICP(T. Tamaki, M. Abe, B. Raytchev, K. Kaneda, M. Slomp)

专心本题也得以用三翻五次做

NormFet: Approximating Normals and Feature Sizes from Noisy Point Clouds(T. Dey, J. Sun, L. Molnar)

151.                ,SUM(CASE WHEN score BETWEEN 60 AND 70 THEN 1 ELSE 0 END) AS [70 - 60] 

Computing a View Frustum to Maximize an Object’s Image Area(K-L. Low, A. Ilie)

 7、找寻选修了数据库课程的具备学员姓名。(同3卡塔尔

homest: A C/C++ Library for Robust, Non-linear Homography Estimation(M. Lourakis)

206.            where SC.S#=Student.S# and SC.C#=Course.C# and  Course.Cname='数据库'and score <60; 

Interactive and Anisotropic Geometry Processing Using the Screened Poisson Equation(M. Kazhdan)

    Selectsno,avg(grade)

Photorealistic Rendering

 

Volumetric Lighting and Shadowing NV32 Shader(S. Lefebvre, S. Guy)

where  s.sno=sc.snoand c.cno=sc.cno and cname='数据库'

CGAL(LP linear programming, QP quadratic programming) (Authors)

 

3d-workspace(quadric mesh simplification, re-meshing, recursive/monte-carlo/sphere-packing/voxel sampling, skeleton extraction, Laplacian/scale-dependent/mean-curvature-flow smoothing, Sqrt3/Loop/modified-butterfly/longest-edge subdivision, minimum bounding box, mean value coordinates, Green coordinates, curvature (polynomial fitting, two other implementations), FFD, voxel deformation, skinning with dual quaternions, mesh voxelization, octree, kd-tree, colormap, mesh slicing) (Authors)

91.      FROM SC T,Course 

VisualSFM: A Visual Structure from Motion System(C. Wu)

30.    select S#,Sname 

LumosQuad(2D lighting simulation and rendering, quadtree conjugate gradient Poisson solver) (T. Kim, M. Lin)

        from 学生,选课

Sampling

    酌量本题也能够用嵌套做吧?

CGAL(n-D geometry, 2D/3D spherical geometry, n-D convex hull, 2D/3D/spherical booleans, 2D minkowski sums, 2D polygon partition/offset/skeleton, 2D curve intersection, 2D/3D envelopes, 2D/3D triangulation, 2D/3D alpha shapes, 2D delaunay/voronoi/apollonius/conforming delaunay/conforming gabriel, 3D delaunay isosurfacing, 3D skin surface, n-D spatial data structures, bounding volumes, optimal distances, least-squares geometry fitting, 2D/surface function interpolation, kinetic data structures, AABB Tree, 3D periodic triangulations, tetrahedral meshing w/ implicit/volume/polyhedral boundaries) [full packages list] (Authors)

商量本题也能够用嵌套做呢?

farthest-point seeding for placement of streamlines in 2D vector fields with CGAL(A. Mebarki)

 

SDFGen: generate grid-based signed distance field (level set) from triangle meshes(C. Batty, R. Bridson)

    SelectKno,sum(Fmoney) from FP

Textured Shadow Volumes(J. Hasselgren, T. Akenine-Moller)

(4)把WANG同学的就学选课和成绩全体去除。
    DELETE FROM SC
     WHERE S# IN
      (SELECT S#
      FROM S
      WHERE SNAME='WANG')

A Fast Triangle-Triangle Intersection Test(T. Moller)

 1、查询工资在1000到3000元之间的男人业务员的姓名和办公室编号。

METRO: measure differences between triangular meshes(Authors)

          where 学生.学生号=选课.学生号 and 姓名=@m1

ShapeShop: sketch-based hierarchical implicit surface ("BlobTree") modeling (and SurfaceTree)(R. Schmidt, B. Wyvill, K. Singh)

116.              T1.score AS 公司管理, 

integral estimation on a k-manifold embedded in R-d(C. Luo, J. Sun, Y. Wang)

 4、查询二零零零年七月进货次数超越5次的兼具客商号,且按客商号升序排序。 

Multi-frame 3D scans from video depthmaps(triangulated point clouds, OBJ format,100-2200 frames) (T. Weise, B. Leibe, L. Van Gool)

    或:

Quern: A Sparse QR Library(R. Bridson)

  (3) SELECTS#,AVG_GRADE
FROMS_GRADE
WHEREC_NUM>(SELECTC_NUM
FROMS_GRADE
WHERES#=‘S4’)
    允许
   SELECT S#,AVG(GRADE)
   FROM SC AS X
   WHERE COUNT(X.C#)>(SELECTCOUNT(Y.C#) FROM SC AS Y WHERE Y.S#='S4')
   GROUP BY S#

renderman shader to dump out grids(M. Pharr)

    where  student.sno=sc.sno and sdept='JSJ'

GeoBrush: Interactive Mesh Geometry Cloning(discrete expmap, 3D Green coordinates deformation, GPU Poisson solver) (K. Takayama, R. Schmidt, K. Singh, T. Igarashi, T. Boubeker, O. Sorkine)

       A.2            B.3             C.4              D.5

Utilities for Structured Light Scanning(Contributors)

 

Octree implementation(H. Ainsworth)

 9、查询于今还未有考试比不上格的学习者学号。

Unconstrained Isosurface Extraction on Arbitrary Octrees(M. Kazhdan)

                 ( SELECT AVG(SC3.Grade)

Shortest paths on a polyhedral surface(B. Kaneva, J. O'Rourke)

        from 学生,选课

siteplan: rapid architectural prototyping using procedural extrusions(T. Kelly, P. Wonka)

         SC2.BJDM=SC3.BJDM and SC2.BNXH=SC3.BNXH and

Fast 3D Triangle-Box Overlap Testing(T. Akenine-Moller)

142.                              ON sc.S# = T3.S# AND T3.C# = 'k3' 

A Level-set Method for Skinning Animated Particle Data(thin-plate energy, grid mean curvature/laplacian/biharmonic, kdtree, marching tetrahedra) (H. Bhattacharya, Y. Gao, A. Bargteil)

    (1)SELECT A,B,C
      FROM R
      UNION
      SELECT A,B,C
      FROM S

CMVS: Clustering Views for Multi-view Stereo(Y. Furukawa)

73.      ORDER BY avg(t.score)  

MeshLab(ICP range-map alignment, ball pivoting, point-set normals, Robust Implicit MLS (RIMLS), Algebraic point-set surface (APSS), Poisson surface reconstruction) [All Filters] (Authors)

方法二:

VariationalViscosity2D: 2D viscous free surface simulation (C. Batty)

213.            FROM student,Sc 

Mesh Processing

164.              S# as 学子学号,平均成绩 

OpenFlipper(import/export OFF/OBJ/PLY/STL/STLA/STLB/OM, selection tools w/ surface/volume lasso and sphere brush, decimation, smoothing, edge/face editing) (J. Möbius)

       学子(学生号 char(7卡塔尔国,姓名 char(6卡塔尔,性别 char(2State of Qatar,出出生之日期 datetime,

ReMESH(automatic manifold repair, isolated component removal, hole filling, handle removal, degenerate triangle removal, sharp feature recovery, defect detection and hilighting, manual repair tools) (M. Attenne)

    SelectBJDM,XSXM,max(CJ) from SC

dpix: interactive rendering of 3D models using stylized lines(sketchup, self-similar line artmaps, coherent self-similar line styalization, high-quality line visibility, stylized focus)

              (select * from sc where cno='1002' and sno=student.sno)

QSplat(real-time multiresolution point-set rendering) (S. Rusinkiewicz, G. King)

3.43.4 设有三个大旨表RAV4(A,B,C)和S(A,B,C)试用SQL查询语句表述下列关系代数表明式:
  (1)R∪S  (2)R∩S  (3)R-S  (4)πA,B(R)πB,C(S)

Dynamics of a single rigid body(explicit Euler, symplectic Euler, time-varying external forces and torques, arbitrary inertia tensors) (J. Barbic)

171.        25、查询各科战表前三名的笔录:(不思谋成绩并列情状State of Qatar 

Stanford 3D Scanning Repository(bunny, drill bit, buddha, dragon, armadillo, lucy, asian dragon, manuscript, thai statue)

      

Segmentation

    Selectsdept,ssex,avg(sage),count(*) from s group by sdept,ssex

An Improved Adjacency Data Structure for Fast Triangle Stripping(P. Reuter, J. Behr, M. Alexa)

 

Efficient Splatting Using Modern Graphics Hardware(D. Xue, R. Crawfis)

    嵌套:

Filtering Solid Gabor Noise(A. Lagae, G. Drettakis)

69.          ,(SELECT score FROM SC WHERE SC.S#=t.S# AND C#='006') AS 英语 

GraphDraw: draw 2D graphs and export as postscript (K. Crane)

    5.数据库系统中的四类客商分别为____数据库助理馆员、数据库设计员、应用技术员、终端客商_____。

Parameterization

select distinct 学生.*

Fast Ray-Axis Aligned Bounding Box Overlap Tests with Plücker Coordinates(J. Mahovsky, B. Wyvill)

    (3)SELECT A,B,C
      FROM R
      WHERE NOT EXISTS
       (SELECT A,B,C
       FROM S
       WHERE R.A=S.A AND R.B=S.B AND R.C=S.C)

Advanced Reaction-Diffusion Models for Texture Synthesis(A. Sanderson, R. Kirby, C. Johnson, L. Yang)

    order by sagedesc

The Cornell Box

223.            from Student,SC,Course C,Teacher 

NonPhotorealistic Rendering

224.            where Student.S#=SC.S# and SC.C#=C.C# and C.T#=Teacher.T# and Teacher.Tname='叶平' and SC.score=(select max(score)from SC where C#=C.C# ); 

LUGPU(GPU dense-matrix LU decomposition) (N. Galoppo, N. Govindaraju, M. Henson, D. Manocha)

11、查询选修“数据库原理”课且战表 80 以上的上学的小孩子姓名(用三回九转和嵌套2种情势卡塔尔国

Permission Gridmesh simplification (S. Zelinka)

21.    from Teacher 

Efficient Collision Detection of Complex Deformable Models using AABB Trees(G. van den Bergen)

    order bysdept,sno

fast stretch-minimizing parameterization(includes shape-preserving/Tutte/harmonic parameterization, and natural conformal parameterization ) (S. Yoshizawa)

125.                    LEFT JOIN SC AS T3 

Convolution Surfaces for Line Skeletons with Polynomial Weight Distributions(X. Jin, J. Feng, Q. Peng, C-L. Tai)

    或: Select sno,sname,ssex from s where sno in

Image and Video Processing

118.              T3.score AS UML, 

Fluid3D: barebones 3D inviscid free-surface fluid simulator in irregular domains (C. Batty)

         ( Selectavg(grade) from s,sc

Digital 210 King(building scans, Revit models, photographs, Green Building XML (gbXML) models, of 210 King St East (Autodesk Toronto building))

          班级代码、学子姓名、最高战表、平均成绩。

Efficient Generation of Poisson-Disk Sampling Patterns(T. Jones)

205.            from Student,SC,Course 

A Shaft Culling Tool(E. Haines)

10、查询学子姓名以至她选修课程的课程号及成绩。

Graphite(ABF, ABF++, DPBF, LSCM, HLSCM, Barycentric, mean-value coordinates, L2 stretch,spectral conformal,Periodic Global Parameterization,Constrained texture mapping,texture atlas generation) [documentation wiki] (Authors)

 

BRDF Displacement Interpolation Using Lagrangian Mass Transport(function/distribution interpolation, non-euclidean manifolds, BRDF/color/value/envmap/stippling, non-negative least squares) (N. Bonneel, M. van de Panne, S. Paris, W. Heidrich)

98.          ,SUM(CASE WHEN C# = '002' THEN score ELSE 0 END)/SUM(CASE C# WHEN '002' THEN 1 ELSE 0 END卡塔尔(قطر‎ AS Marx平均分 

Simple and Efficient Traversal Methods for Quadtrees and Octrees(S. Frisken, R. Perry)

226.            select count(*) from sc group by C#; 

LFDisplay: a real-time system for light field microscopy

79.                        FROM SC AS IL,Student AS IM 

SimplexMesh: general non-manifold, non-regular simplicial mesh for mixed dimensions leq 3 (C. Batty)

         ( Selectsum(Fmoney) from FP group by Yno )

Symmetry Descriptors and 3D Shape Matching(M. Kazhdan)

   1. 标题栏、菜单栏、专门的学业区   (次序无前后相继)

Reproducible Researcharchive (image processing, vision, machine learning) (Xin Li)

              (Select sno from sc where cno='7' )

TAUCS[Package Mirror] (sparse preconditioned conjugate-gradient/minres, sparse Cholesky (sym-pos-semi-def), sparse LU, sparse LDLT) (S. Toledo, D. Chen, V. Rotkin)

(6)检索姓名以WANG打头的兼具学员的人名和年龄。
    SELECT SNAME,AGE
    FROM S
    WHERE SNAME LIKE 'WANG%'

Data Sets

(2)试将PROGECT、P_P、PART四个基本表的自然联接定义为二个视图VIEW1,PART、P_S、SUPPLIETiggo多个基本表的本来联接定义为三个视图VIEW2。
    CREATE VIEW VIEW1(J#,JNAME,DATE,P#,PNAME,COLOR,WEIGHT,TOTAL)
          AS SELECT PROJECT.J#,JNAME,DATE,PART.P#,PNAME,COLOR,WEIGHT,TOTAL
          FROM PROJECT,PART,P_P
          WHERE PART.P#=P_P.P# AND P_P.J#=PROJECT.J# 
     
    CREATE VIEW VIEW2(P#,PNAME,COLOR,WEIGHT,S#,SNAME,SADDR,QUANTITY)
          AS SELECT PART.P#,PNAME,COLOR,WEIGHT,SUPPLIER.S#,SNAME,SADDR,QUANTITY
          FROM PART,P_S,SUPPLIER
          WHERE PART.P#=P_S.P# AND P_S.S#=SUPPLIER.S#

DelFEM(FEM, Poisson, Diffusion, Advection-Diffusion, Linear Solid, St.Venant-Kirchhoff Material, incompressive hyperelastic material, Stokes Fluid, Navier-Stokes Fluid, Helmholtz, 3D rigid body, 6 types of constraint model, coupling analysis of rigid and elastic material, ILU (0) preconditioned CG, ILU (0) preconditioned BiCGSTAB) (N. Umetani)

    本题也能够用嵌套做

Manifold Mesh Processing(non-manifold repair, smoothing, normals from point clouds, curvature calculation, local shape descriptors, Polymender manifold mesh from triangle soup, mesh simplification) (C. Grimm)

    3.文本型字段最多可以寄放(    )个字符。

Volfillfill holes in mesh using volumetric diffusion (S. Marschner, K. Berglund)

 

Normal Patches / PN-Triangles(R. Stimpson)

64.      from SC where C#='002') from Student where S# not in (Select S# from SC where C#='002'); 

Fast Mean-Curvature Flow via Finite-Elements Tracking(M. Kazhdan)

 

OpenRACM: Random-Accessible Compressed Meshes(S.E. Yoon, P. Lindstrom)

 

ExpoKit: matrix exponential for small dense and large sparse matrices (R. B. Sidje)

214.            WHERE SC.score>=70 AND SC.S#=student.S#; 

Google Pose Optimizer: reconstruct pose of sensor based on sensor data (GPS position, doppler velocity, accelerometers, rate gyroscopes, wheel encoders, constraint models) (Authors)

    (1)SELECT A,B,C
      FROM R
      UNION
      SELECT A,B,C
      FROM S

SHLIGHT: spherical harmonic lighting program (T. Huang, I. Lisle)

129.              WHERE student.S#=SC.S# and 

VLFeat(SIFT, MSER, k-means, hiearchical k-means, agglomerative information bottleneck (aib), quick shift) (A. Vedaldi, B. Fulkerson)

121.              FROM Student,SC  LEFT JOIN SC AS T1 

Fast Tetrahedron-Tetrahedron Overlap Algorithm(F. Ganovelli, F. Ponchio, C. Rocchini)

61.  16、向SC表中插入一些笔录,这几个记录供给适合以下准则:没有上过编号“003”课程的校友学号、2、 

PowerCrust(watertight polygonal meshing of point set, medial axis transform, simplified medial axis) (N. Amenta) [updated port]

154.            where SC.C#=Course.C# 

Generalized Stratified Sampling Using the Hilbert Curve(M. Steigleder, M. McCool)

(7)在主导表SC中期维校订C4课程的实际业绩,若成绩小于等于75分时进步5%,若成绩当先75分时进步4%(用八个UPDATE语句完成)。
    UPDATE SC
     SET GRADE=GRADE*1.05
     WHERE C#='C4' AND GRADE<=75
    UPDATE SC
     SET GRADE=GRADE*1.04
     WHERE C#='C4' AND GRADE>75

Mesh Modelling Using Curve Analogies(S. Zelinka)

   Select snamefrom s,sc where s.sno=sc.sno

Visualizing LIDAR in Google Earth(M. Isenburg, J. Shewchuck)

   5. 实表、虚表                        

Normalizing for Anisotropy in Triangle Models(M. Kazhdan)

  1. 大小写

SurfRemesh: Delaunay Remeshing of Polygonal Surfaces(T. Dey, T. Ray)

12、找寻选修了不菲于3门课程的学员姓名。

Simplification Envelopesgenerate mesh level-of-detail hierarchies (J. Cohen, A. Varshney, G. Turk)

3.2 对于教学数据库的四个基本表
  学生S(S#,SNAME,AGE,SEX)
  学习 SC(S#,C#,GRADE)
  课程C(C#,CNAME,TEACHER)
 试用SQL的查询语句表述下列查询:

Automatic Differentiation, C++ Templates, and Photogrammetry(D. Piponi)

  (5) DELETEFROMS_GRADE
WHEREC_NUM>4
    不允许

HKS: Computing Heat Kernel Signature(J. Sun, M. Ovsjanikov, L. Guibas)

   2. 从教学库中查询出只选修了一门课程的整套学生。

RenderPark(HDR, galerkin radiosity, stochastic jacobi radiosity, hierarchical, clustering, view-importance, higher-order approximations, random walk radiosity, photon mapping, stochastic ray tracing, bi-directional path tracing) (P. Bekaert,F. de Laet, P. Peers, V. Masselus, J. Prikryl, P. Dutre, O. Ceulemans)

123.                    LEFT JOIN SC AS T2 

AIM@SHAPE 3D model repository

       A.窗体        B.查询          C.报表          D.表

Discrete Exponential Map Demo(R. Schmidt)

    在名为传授库的数据库中含有有学员、课程和选课多个表,它们的概念分别为:

FReg: detect approximate symmetries of point sets and B-Rep Models(Authors)

68.          ,(SELECT score FROM SC WHERE SC.S#=t.S# AND C#='001'卡塔尔(قطر‎ AS 公司管理 

Deformation Transfer for Triangle Meshes(horse, camel, cat, lion, faces, flamingo, elephant) (R. Sumner, J. Popovic)

                 )

Interactive Segmentation Tool-Box(lazy snapping, GrabCut interactive graph cut)

               )

MPCG: Multi-Preconditioned Conjugate Gradients(R. Bridson, C. Greif)

216.            select c# from sc where scor e <60 order by C# ; 

Crytek Sponza Model v2(increased complexity, 3ds, OBJ formats, textures) (F. Meinl, Crytek)

(1)总结有学员选修的科目门数。
    SELECT COUNT(DISTINCT C#) FROM SC

Exact CCD: Geometrically exact continuous collision detection for triangle meshes. (T. Brochu, E. Edwards, R. Bridson)

80.                        WHERE L.C# = IL.C# and IM.S#=IL.S# 

Metric Aware Processing of Spherical Imagery(M. Kazhdan)

(2)试将PROGECT、P_P、PART多个基本表的本来联接定义为一个视图VIEW1,PART、P_S、SUPPLIEPRADO四个基本表的当然联接定义为二个视图VIEW2。
    CREATE VIEW VIEW1(J#,JNAME,DATE,P#,PNAME,COLOR,WEIGHT,TOTAL)
          AS SELECT PROJECT.J#,JNAME,DATE,PART.P#,PNAME,COLOR,WEIGHT,TOTAL
          FROM PROJECT,PART,P_P
          WHERE PART.P#=P_P.P# AND P_P.J#=PROJECT.J# 
     
    CREATE VIEW VIEW2(P#,PNAME,COLOR,WEIGHT,S#,SNAME,SADDR,QUANTITY)
          AS SELECT PART.P#,PNAME,COLOR,WEIGHT,SUPPLIER.S#,SNAME,SADDR,QUANTITY
          FROM PART,P_S,SUPPLIER
          WHERE PART.P#=P_S.P# AND P_S.S#=SUPPLIER.S#

SIFT++(A. Vedaldi)

106.          SELECT max(Z.T#卡塔尔(قطر‎ AS 教授ID,MAX(Z.TnameState of Qatar AS 教授姓名,C.C# AS 课程ID,MAX(C.Cname卡塔尔国 AS 课程名称,AVG(Score卡塔尔国 AS 平均成绩 

HLBFGS(Preconditioned L-BFGS, Preconditioned Conjugate Gradient, Gradient Descent, Newton) (Y. Liu)

    5.从教学库中询问出足足选修了人名字为@m1学子所选课程中一门课的满贯学员。

SLIM: sparse low-degree implicits(fitting, rendering, reflection lines, analytic curvature measures, crest lines, suggestive contours) (Y. Ohtake, A. Belyaev, M. Alexa)

  1. 类模块、规范模块         (次序无前后相继)

Cornell Light Measurement Data(light source spectra, filter and lens transmission spectra, camera response spectra, reflectance data)

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