海外直订Computational Thinking: First Algorithms, Then Code 计算思维
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3-6周达 Computational Thinking: First Algorithms, Then Code [I 【全球购】进口原版图书，预计3-6周左右到国内
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3-6周达 Pearls of Algorithm Engineering [ISBN:9781009123280] 【全球购】进口原版图书，一般3-6周左右到国内后发出
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海外直订Computational Thinking: First Algorithms, Then Code 计算思维
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3-6周达 Combinatorial Pattern Matching: 19th Annual Symposium, 【全球购】进口原版图书，一般3-6周左右到国内后发出
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海外直订Combinatorial Pattern Matching: 19th Annual Symposium, C
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海外直订Pearls of Algorithm Engineering 算法工程的精华
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预订 Computational Thinking: First Algorithms, Then Code 计算思维： 国外库房发货，通常付款后3-5周到货
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【预订】Combinatorial Pattern Matching 9783540690665 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9783540690665 Author 作者 Paolo Ferragina Università Pisa Dipto. Informatica Pisa I Format 版本 平装-胶订 Pages Number 页数 317页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2008-06-03 Language 语种 英语 Book Contents 内容简介 The papers contained in this volume were presented at the 19th Annual S- posium on Combinatorial Pattern Matching (CPM 2008) held at the University of Pisa, Italy, June 18–20, 2008. All the papers presented at the conference are originalresearchcontributions on computational pattern matching and analysis. They were selected from 78 submissions. Each submission was reviewed by at least three reviewers. The committee decided to accept 25 papers. The programme also includes three invited talks by Daniel M. Guseld from the University of California, Davis, USA, J. Ian Munro from the University of Waterloo, Canada, an
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【预订】Pearls of Algorithm Engineering 9781009123280 国外库房发货，通常付款后3-5周到货！
Product Details 基本信息 ISBN-13 书号 9781009123280 Author 作者 Paolo Ferragina Format 版本 精装 Pages Number 页数 326页 Publisher 出版社 Cambridge University Press Publication Date 出版日期 2023-04-01 Language 语种 其它（含多语） Book Contents 内容简介 There are many textbooks on algorithms focusing on big-O notation and basic design principles. This book offers a unique approach to taking the design and analyses to the level of predictable practical efficiency, discussing core and classic algorithmic problems that arise in the development of big data applications, and presenting elegant solutions of increasing sophistication and efficiency. Solutions are analyzed within the classic RAM model, and the more practically significant external-memory model that allows one to perform I/O-complexity evaluations. Chapters cover various data types, including integers, strings, trees, and graphs, algorithmic
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