This book is intended to survey the most important computer algorithms in use today, and to teach fundamental techniques to the growing number of people in need of knowing them. It is intended for use as a textbook for a second course in computer science, after students have acquired basic programming skills and familiarity with computer systems. The book also may be useful for self-study or as a reference for people engaged in the development of computer systems or applications programs, since it contains implementations of useful algorithms and detailed information on performance characteristics and clients. The broad perspective taken makes the book an appropriate introduction to the field

Introduction to Algorithms (算法导论) 第二版 教师手册包括了习题解答，是英文版本

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Stanford_CS106B_Assignments：我为斯坦福大学CS106B（C ++编程抽象）课程承担的作业的解决方案。 （2017-2018）

In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second. Class templates are used to describe generic data structures and first-class versions of vector and string classes are used. Included is an appendix on a Standard Template Library (STL). This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some background in discrete math

日志异常检测器 日志异常检测器是一个名为“ Project Scorpio”的开源项目代码。 LAD也简称为LAD。 它可以连接到流媒体源并生成对异常日志行的预测。 在内部，它使用无监督机器学习。 我们结合了许多机器学习模型来实现这一结果。 另外，它在回路反馈系统中还包括一个人。 项目背景 该项目的最初目标是开发一种自动方法，根据用户应用程序日志中包含的信息，在用户的应用程序出现问题时通知用户。 不幸的是，日志中充满了包含警告甚至是可以忽略的错误的消息，因此简单的“查找关键字”方法是不够的。 另外，日志的数量在不断增加，没有人愿意或无法监视所有日志。 简而言之，我们的最初目标是使用自然语言处理工具进行文本编码，并使用机器学习方法进行自动异常检测，以构建一种工具，该工具可以通过突出显示最日志来帮助开发人员针对失败的应用程序更快地执行根本原因分析如果应用程序开始产生高频率的异常日志，则很可能

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matlab代码粒子群算法利用生物启发算法优化光学锥度 该存储库包含用于实现光学锥度优化的Matlab源代码（使用Comsol Multiphysics建模）。 使用的算法是遗传算法和粒子群优化

[麻省理工学院-算法导论].Introduction.to.Algorithms--PPT

Fast.Algorithms.for.Signal.Processing