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In Algorithms and Data Structures for Massive Datasets, you’ll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the algorithms and data structures that form the backbone of a big data system.
Data structures and algorithms that are great for traditional software may quickly slow or fail altogether when applied to huge datasets. Algorithms and Data Structures for Massive Datasets introduces a toolbox of new t...
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics.
Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-conta...
Description:
Explore the most serious prevalent ethical issues in data science with this insightful new resource
The increasing popularity of data science has resulted in numerous well-publicized cases of bias, injustice, and discrimination. The widespread deployment of “Black box” algorithms that are difficult or impossible to understand and explain, even for their developers, is a primary source of these unanticipated harms, making modern techniques and methods ...
Book Description:
Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implementations of genetic algorithms and some of their common applications, with the aim to give you a practical understanding allowing you to solve your own unique, individual problems. After reading this book yo...
内容简介:
7卷本《计算机程序设计艺术》的第1卷以基本的程序设计概念和技术开始,然后专注于信息结构——计算机内部信息的表示、数据元素之间的结构关系以及如何有效地处理它们,给出了对于模拟、数值方法、符号计算、软件和系统设计的初等应用。书中附有大量习题和答案,标明了难易程序及数学概念的使用。
此新版本增加了几十项简单且重要的算法和技术,并对有关数学预备知识作了大量修改以适应现时研究的趋势。
作者简介:
高德纳(Donald E. Knuth)计算机科学家,算法与程序设计技术的...
内容简介:
本书是系统阐述组合数学基础、理论、方法和实例的优秀教材,出版三十多年来多次改版,被MIT、哥伦比亚大学、UIUC、威斯康星大学等众多国外高校采用,对国内外组合数学教学产生了较大影响,也是相关学科的主要参考文献之一。
本书侧重于组合数学的概念和思想,包括鸽巢原理、计数技术、排列与组合、Pólya计数法、二项式系数、容斥原理、生成函数和递推关系以及组合结构(匹配、试验设计、图)等,深入浅出地表达了作者对该领域全面和深刻的理解。
自2004年出版第4版以来,作者又对本书进...
内容介绍:
《离散数学及其应用(原书第6版)》是经典的离散数学教材,为全球多所大学广为采用。本书全面而系统地介绍了离散数学的理论和方法,内容涉及数学推理、组合分析、离散结构、算法思维以及应用与建模。全书取材广泛,除包括定义、定理的严密陈述外,还配备大量的实例和图表的说明、各种练习和题目以及丰富的历史资料和网站资源。第6版在前五版的基础上做了大量的改进,使其成为更有效的教学工具。
《离散数学及其应用(原书第6版)》可作为高等院校数学、计算机科学和计算机工程等专业的教材或...
内容简介:
在有关算法的书中,有一些叙述非常严谨,但不够全面;另一些涉及了大量的题材,但又缺乏严谨性。本书将严谨性和全面性融为一体,深入讨论各类算法,并着力使这些算法的设计和分析能为各个层次的读者接受。全书各章自成体系,可以作为独立的学习单元;算法以英语和伪代码的形式描述,具备初步程序设计经验的人就能看懂;说明和解释力求浅显易懂,不失深度和数学严谨性。
全书选材经典、内容丰富、结构合理、逻辑清晰,对本科生的数据结构课程和研究生的算法课程都是非常实用的教材,在IT专业人员的职...