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An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic)
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J.A. Storer 作者
Birkhäuser Boston
譯者
2001-11-09 出版日期
620 頁數
USD 89.95 價格
Hardcover
叢書系列
9780817642532 圖書編碼

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An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 用戶評價

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An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 著者簡介

An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 著者簡介

An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

An Introduction to Data Structures and Algorithms (Progress in Computer Science and Applied Logic) 在線電子書 圖書描述

Data structures and algorithms are presented at the college level in a highly accessible format that presents material with one-page displays in a way that will appeal to both teachers and students. The thirteen chapters cover: Models of Computation, Lists, Induction and Recursion, Trees, Algorithm Design, Hashing, Heaps, Balanced Trees, Sets Over a Small Universe, Graphs, Strings, Discrete Fourier Transform, Parallel Computation. Key features: Complicated concepts are expressed clearly in a single page with minimal notation and without the "clutter" of the syntax of a particular programming language; algorithms are presented with self-explanatory "pseudo-code." * Chapters 1-4 focus on elementary concepts, the exposition unfolding at a slower pace. Sample exercises with solutions are provided. Sections that may be skipped for an introductory course are starred. Requires only some basic mathematics background and some computer programming experience. * Chapters 5-13 progress at a faster pace. The material is suitable for undergraduates or first-year graduates who need only review Chapters 1 -4. * This book may be used for a one-semester introductory course (based on Chapters 1-4 and portions of the chapters on algorithm design, hashing, and graph algorithms) and for a one-semester advanced course that starts at Chapter 5. A year-long course may be based on the entire book. * Sorting, often perceived as rather technical, is not treated as a separate chapter, but is used in many examples (including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms). Also, lower bounds on sorting by comparisons are included with the presentation of heaps in the context of lower bounds for comparison-based structures. * Chapter 13 on parallel models of computation is something of a mini-book itself, and a good way to end a course. Although it is not clear what parallel

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