Discrete Mathematics and Its Applications International Version pdf epub mobi txt 電子書下載2025

☆☆☆☆☆

Kenneth H. Rosen is a Distinguished Member of the Technical Staff at AT&T Laboratories in Middletown, New Jersey. His current assignment involves the assessment of new technology and the creation of new services for AT&T. Dr. Rosen has written several leading textbooks and many articles. Rosen received his Ph.D. from MIT. --This text refers to an out of print or unavailable edition of this title.

出版者:McGraw-Hill

作者:[美] Kenneth H·Rosen

出品人:

頁數:0

译者:

出版時間:2008-3-1

價格:USD 107.75

裝幀:Paperback

isbn號碼:9780071244749

叢書系列:

圖書標籤:

數學
Mathematics
Discrete_Mathematics
CS
離散數學
textbook
課本
計算機科學

下載連結在頁面底部

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

想要找書就要到圖書目錄大全

book.wenda123.org

立刻按 ctrl+D收藏本頁

你會得到大驚喜!!

"Discrete Mathematics and its Applications, Sixth Edition", is intended for one- or two-term introductory discrete mathematics courses taken by students from a wide variety of majors, including computer science, mathematics, and engineering. This renowned best-selling text, which has been used at over 500 institutions around the world, gives a focused introduction to the primary themes in a discrete mathematics course and demonstrates the relevance and practicality of discrete mathematics to a wide variety of real-world applications...from computer science to data networking, to psychology, to chemistry, to engineering, to linguistics, to biology, to business, and to many other important fields.

具體描述

讀後感

評分☆☆☆☆☆

但是我之前是搞体育的. 初中和高中基本上没上过,学这本书之前需要先学什么预备的数学知识吗？谁能帮帮我!

評分☆☆☆☆☆

刚看到第一章的1.2小节，做练习时发现我的答案的标准答案对不上，然后对比了英文原版，发现有些习题翻译有问题，而且是很明显的错误。这还只是习题部分比如1.2节习题3：You can graduate only if you have completed the requirements of your major and you do not owe money...

評分☆☆☆☆☆

大家可以结合台湾国立交通大学的OCourse来学习这本书。网址：http://ocw.nctu.edu.tw/course_detail_3.php?bgid=9&gid=0&nid=252#.ULJBDuJwp0Q 自己找到离散数学，进度和书本是一致的。希望对大家的自学有帮助！

評分☆☆☆☆☆

这个是bereley cs70的教材。但也没照着上面的讲，只讲的主要的部分，还不包括图，树之类的在数据结构中会有的东西。这个大体的学习过程是，先看note，不行看看lecture，然后做题。概率部分的习题没怎么做（懒了）。然后又看了下图的那一章。说下学习方法的问题自学和听课...