The Algorithm Design Manual pdf epub mobi txt 電子書下載2025

簡體網頁||繁體網頁

☆☆☆☆☆

出版者:Springer

作者:Steven S Skiena

出品人:

頁數:746

译者:

出版時間:2010-11-5

價格:USD 89.95

裝幀:Paperback

isbn號碼:9781849967204

叢書系列:

圖書標籤:

算法
Algorithm
計算機
Programming
計算機科學
編程
數據結構與算法
美國
Algorithm
Design
Manual
Data
Structures
Algorithms
Computer
Science
Problem
Solving

下載連結在頁面底部

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 複製連結

想要找書就要到小美書屋

book.quotespace.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

具體描述

This expanded and updated second edition of a classic bestseller continues to take the "mystery" out of designing and analyzing algorithms and their efficacy and efficiency. Expanding on the highly successful formula of the first edition, the book now serves as the primary textbook of choice for any algorithm design course while maintaining its status as the premier practical reference guide to algorithms. NEW: (1) Incorporates twice the tutorial material and exercises. (2) Provides full online support for lecturers, and a completely updated and improved website component with lecture slides, audio and video. (3) Contains a highly unique catalog of the 75 most important algorithmic problems. (4) Includes new "war stories" and "interview problems", relating experiences from real-world applications. Written by a well-known, IEEE Computer Science teaching-award winner, this new edition is an essential learning tool for students needing a solid grounding in algorithms, as well as a uniquely comprehensive text/reference for professionals.

著者簡介

Steven Skiena (1961-, http://www.cs.sunysb.edu/~skiena/) is a Professor of Computer Science in State University of New York at Stony Brook

圖書目錄

讀後感

評分☆☆☆☆☆

之前读过《算法导论》（常被简称为CLRS，下同），读这本是想换个角度来研究下算法。虽然很多东西已经通过前者有所了解，这里就谈谈二者的不同之处。一方面，数学性的推导和证明还是CLRS比较擅长，后者大多数情况只是尽量做到让读者能够理解而已，这一点在上...

評分☆☆☆☆☆

第一部分讨论实用算法思路；第二部分实例分析极其讨喜。解释直观易懂，并提供了大量的参考信息，相当适合自己学习和额外研究用。每晚看一两个章节或例子相当愉快。不过印刷纸质颇为低劣……=_= 居家旅行，闲时翻阅，面试备战的最佳选择…… http://www.cs.sunysb.edu/~alg...

評分☆☆☆☆☆

Compared with CLRS: - Both books are well written and way above the average. - "Almost" as great as the classic CLRS. - Not so textbook like which is both good and bad: - Has clearer statements about goals and abstractions of algorithms and data struct...

評分☆☆☆☆☆

我个人认为这本书很不适合初学者，尤其是和DPV（http://book.douban.com/subject/1996256/）相比。如果你和我一样在找一本比较好的算法入门书，强烈推荐DPV而不是这本。DPV对算法的讲解简单而明了，如果我只能推荐一本算法书的话，毫无疑问我会推荐DPV。当然，这本书或许对...