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Basic concepts in data structures

Klein, Shmuel Tomi.

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Basic concepts in data structures

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Basic concepts in data structures/ Shmuel Tomi Klein.
作者:	Klein, Shmuel Tomi.
出版者:	Cambridge :Cambridge University Press, : 2016.,
面頁冊數:	xii, 215 p. :ill., digital ;24 cm.
標題:	Data structures (Computer science) -
電子資源:	https://doi.org/10.1017/CBO9781316676226
ISBN:	9781316676226

Basic concepts in data structures
Klein, Shmuel Tomi.

Basic concepts in data structures[electronic resource] /Shmuel Tomi Klein. - Cambridge :Cambridge University Press,2016. - xii, 215 p. :ill., digital ;24 cm.

Data structures are the fundamental building blocks of any computer program, used for storing, representing and manipulating data in a computer. This text presents the basic concepts of data structures as part of the art of writing computer programs. The author concentrates on the fundamentals of what should be done to solve a problem efficiently rather than technical implementation details. The text includes pseudocode and covers all the most common data structures, such as queues, stacks, trees, heaps, and hash tables, along with the basics of searching, sorting, and coding. This book can supplement any undergraduate algorithms or discrete math course and will also be accessible to students and researchers in other quantitative disciplines. No prerequisites beyond introductory programming and basic mathematics are required, and the accessible, conceptual presentation will appeal to undergraduates in many quantitative fields. Carefully designed problem sets with selected solutions will allow students to test their understanding.

ISBN: 9781316676226Subjects--Topical Terms:

527210
Data structures (Computer science)

LC Class. No.: QA76.9.D35 / K558 2016

Dewey Class. No.: 005.73

Basic concepts in data structures
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520 $a Data structures are the fundamental building blocks of any computer program, used for storing, representing and manipulating data in a computer. This text presents the basic concepts of data structures as part of the art of writing computer programs. The author concentrates on the fundamentals of what should be done to solve a problem efficiently rather than technical implementation details. The text includes pseudocode and covers all the most common data structures, such as queues, stacks, trees, heaps, and hash tables, along with the basics of searching, sorting, and coding. This book can supplement any undergraduate algorithms or discrete math course and will also be accessible to students and researchers in other quantitative disciplines. No prerequisites beyond introductory programming and basic mathematics are required, and the accessible, conceptual presentation will appeal to undergraduates in many quantitative fields. Carefully designed problem sets with selected solutions will allow students to test their understanding.
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