optimization university stanford convex
关于企业级 Web 应用搜索引擎优化(Search Engine Optimization)的一些工作经验分享
笔者之前的社区文章,分享了自己在日常工作中从事企业级 Web 应用开发的一些工作体会: 企业级 Web 应用里使用 CSS 调整应用外观的一些例子 谈谈企业级 Angular 应用的二次开发 - 基于 Angular Component 替换的 Extensibility 支持案例介绍 所谓企业级前 ......
Graph Neural Networks with Learnable and Optimal Polynomial Bases
目录概符号说明MotivationFavardGNN代码 Guo Y. and Wei Z. Graph neural networks with learnable and optimal polynomial bases. ICML, 2023. 概 自动学多项式基的谱图神经网络. 符号说明 \ ......
Confidence First: Yale University's ideal of mind
“客观规律”、“科学”与“真理”无处不在, 只待“有缘人”. 艺术化形象化的通俗表达: “道物法术器具”遇到“有缘人”会通灵;-) Yale University's ideal of mind: First, Unconditional self-confidence, even when it' ......
Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks论文阅读
目录Optimized Content Caching and User Association for Edge Computing in Densely Deployed Heterogeneous Networks1、问题背景贡献点:2、系统建模及问题公式化系统建模问题公式化联合内容缓存和用户 ......
Exploring Recursion in Convex Optimization
Recursion in optimization In this blog post, I aim to provide a overview of the various recursive methods I have seen in convex optimization. Optimiza ......
关于 Angular Universal 应用渲染两次的问题
Angular Repository url:https://github.com/angular/angular-cli/issues/7477 现象: I built a sample repo using angular-cli and followed the steps in the Un ......
基于 Angular Universal 引擎进行服务器端渲染的前端应用 State Transfer 故障排查案例
笔者之前这篇掘金文章一个 SAP 开发工程师的 2022 年终总结:四十不惑 提到,我目前的团队,负责开发一款基于 Angular 框架的电商 Storefront 应用。 这个 Storefront 是一个开源的、基于 Angular 和 Bootstrap 并为 SAP Commerce Clo ......
First-Order Conditions For Convexity
Statement of the First-Order Condition for Convexity For a differentiable function $ f: \mathbb{R}^n \to \mathbb{R} $, $ f $ is convex on a convex set ......
Convex Functions
1. Basic properties and examples 1.1 Definitions A function \(f:\R^n\rarr\R\) is convex if \(\mathrm{\textbf{dom}}\ f\) is a convex set and if for a ......
GitHub Universe 2023:AI 技术引领软件开发创新浪潮
GitHub 是全球领先的软件开发和协作平台,数百万开发者和企业在此分享、学习和创建卓越的软件。同时 GitHub 处在 AI 技术前沿,通过其先进的 AI 技术增强开发者体验并赋能未来软件开发的使命。在今天的文章中,我们将一起看看在 GitHub 年度大会上都有哪些更新。 GitHub 2023 ......
Convex Sets
1. Affine and convex sets 1.1 Affine sets A set \(C\in\R^n\) is affine if the line through any two distinct points in \(C\) lies in \(C\), which mea ......
The 10th Jimei University Programming Contest
外校打星队伍,排名22/450,还算凑合吧。 A. A+B问题 直接枚举进制 #include <bits/stdc++.h> using namespace std; using vi = vector<int>; void solve() { string str; vi a, b, s; ci ......
[论文阅读] EMO@ Earth Mover Distance Optimization for Auto-Regressive Language Modeling
Pre title: EMO: Earth Mover Distance Optimization for Auto-Regressive Language Modeling accepted: arXiv2023 paper: https://arxiv.org/abs/2310.04691 co ......
[翻译]——How the MySQL Optimizer Calculates the Cost of a Query (Doc ID 1327497.1)
本文是对这篇文章How the MySQL Optimizer Calculates the Cost of a Query (Doc ID 1327497.1)的翻译,翻译如有不当的地方,敬请谅解,请尊重原创和翻译劳动成果,转载的时候请注明出处。谢谢! 适用于: MySQL 4.0 及后续更高的版 ......
ASP.NET Web Optimization Framework
ASP.NET Web Optimization Framework We can use patterns while searching files or subdirectories by using “*” wildcard character as follows: Include(“~/ ......
webpack4_CodeSplit——optimization.splitchunks
目录代码文档树webpack.config.js通过修改entry来达到分割打包文件的目的通过optimization.splitChunks来分离大文件以及重复文件修改entry为单文件,在test.js文件中引入jquery配置optimization.splitchunks多入口情况下的多份大 ......
NIT GREAT NITYACKE DESTROYS THE UNIVERSE
线段树 一般线段树维护的东西是什么?设其维护的信息的半群 \((A,+)\),维护标记的半群 \((T,\times)\) 和一种运算 \(*\mapsto A*T\to A\)。 要求 \((b+c)*a=b*a+c*a\)。 一般而言,矩阵是满足这东西的最一般东西,所以线段树一定可以用矩阵搞。 ......
AT_abc325_f Sensor Optimization Dilemma 题解
AT_abc325_f Sensor Optimization Dilemma 题解 Date 20231025:修复手滑公式 \(\min\)、\(\max\) 写反了。 动态规划。类似背包问题。 朴素算法 记 \((x,y)\) 表示使用 \(x\) 个 (1) 传感器、\(y\) 个 (2) ......
A clock IOB / clock component pair have been found that are not placed at an optimal clock IOB /
A clock IOB / clock component pair have been found that are not placed at an optimal clock IOB / clock site pair. The clock component <clk_IBUFG_BUFG> ......
Table does not support optimize, doing recreate + analyze instead
使用情况: 当您的库中删除了大量的数据后,您可能会发现数据文件尺寸并没有减小。这是因为删除操作后在数据文件中留下碎片所致。 OPTIMIZE TABLE只对MyISAM, BDB和InnoDB表起作用。 对于BDB表,OPTIMIZE TABLE目前被映射到ANALYZE TABLE上。 对于Inn ......
The 2nd Universal Cup. Stage 6: Warsaw L.Spectacle (思维)
大致题意: 给定n个玩家,每个玩家有一个战力值,安排 x (1 <= x <= n/2(向下取整))场游戏,每场游戏安排x对玩家对战,对于每一场游戏每个玩家只能参加一次对战,要求对于每x场玩家对战的两个玩家rating差的最大值尽可能小。 例如给定6个玩家战力值为10 13 14 20 100 10 ......
The 2018 ACM-ICPC Asia Qingdao Regional Contest, Online (The 2nd Universal Cup. Stage 1: Qingdao)
Preface 好以后我就是SUA铁粉了,每次打SUA出的题感觉都很好,全程有事情干并且中档题很多很适合我们队这种比上不足的队伍打 不过yysy这场题目偏数据结构和图论方面比较重,而数学方向则不多,刚好撞上了我们队熟悉的地方,因此最后卡着时间过了9题 而且最近CF评测机不知道咋了,这场好多题光读入用 ......
一文详解贝叶斯优化(Bayesian Optimization)原理
参考资料: Expected Improvement formula for Bayesian Optimisation 通俗科普文:贝叶斯优化与SMBO、高斯过程回归、TPE 理解贝叶斯优化 A Tutorial on Bayesian Optimization 贝叶斯优化是一种求解函数最优值的算 ......
[QOJ6555] The 2nd Universal Cup. Stage 5. J : Sets May Be Good
先给 EI 磕三个 首先考虑用 \(n\) 个变量 \(x_1,x_2,\cdots,x_n\in\{0,1\}\) 表示第 \(i\) 个点选不选,那么导出子图的边数的奇偶性就是 \[f(x_1,x_2,\cdots,x_n)=\left(\sum_{(i,j)\in E}x_ix_j\right ......
The 2nd Universal Cup. Stage 5: Northern J Sets May Be Good
题解 我们考虑计算 \(\sum_{S\subseteq\{1,2,3,\cdots,n\}} (-1)^{cnt(S)}\),这里 \(cnt(S)\) 表示 \(S\) 集合的导出子图的边数。 我们记 \(x_i=[i\in S]\)。 我们考虑删掉 \(n\) 号点。 注意到如果 \(x_i\ ......
definition of the convex optimization
A convex optimization problem is one in which the objective and constraint functions are convex, which means they satisfy the inequality \(f_i(\alpha ......
linear optimization
\(\begin{array}{ll}\operatorname{minimize} & f_0(x) \\ \text { subject to } & f_i(x) \leq b_i, \quad i=1, \ldots, m .\end{array}\) As an important exa ......
5.4 Bounds on the optimal code length (Shannon-Fano coding)
From section 5.3, we have \(l_i^*=-\log_D p_i\), but it may not be integer, and we should choose \(l_i\) close to \(l_i^*\). So round it up using the ......
5.3 Optimal Codes
From Section 5.2, we know that any prefix code satisfies Kraft inequality. Our goal is to design prefix codes with minimum \(L(C)\), by Kraft inequali ......
ValueError: ('`tf.compat.v1.keras` Optimizer is not supported when eager execution is enabled. Use a `tf.keras` Optimizer instead, or disable eager execution.')
ValueError: ('`tf.compat.v1.keras` Optimizer (', <tensorflow.python.keras.optimizers.SGD >, ') is not supported when eager execution is enabled. Use a ......