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Problems on Algorithms : A Comprehensive Exercise Book for Students in Software Engineering / by Habib Izadkhah

データ種別	電子ブック
版	1st ed. 2022.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2022
大きさ	XII, 513 p. 95 illus., 4 illus. in color : online resource
著者標目	*Izadkhah, Habib author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001606	Computer Scinece R0 2005-6,2022-3				9783031170430

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一般注記	Mathematical Induction -- Growth of Functions -- Recurrence Relations -- Algorithm Analysis -- Basic Data Structure -- Hash -- Tree -- Search -- Sorting -- Divide and Conquer -- Dynamic Programming -- Greedy Algorithms -- Graph -- Backtracking Algorithms -- P, NP, NP-Complete, and NP-Hard Problems With approximately 2500 problems, this book provides a collection of practical problems on the basic and advanced data structures, design, and analysis of algorithms. To make this book suitable for self-instruction, about one-third of the algorithms are supported by solutions, and some others are supported by hints and comments. This book is intended for students wishing to deepen their knowledge of algorithm design in an undergraduate or beginning graduate class on algorithms, for those teaching courses in this area, for use by practicing programmers who wish to hone and expand their skills, and as a self-study text for graduate students who are preparing for the qualifying examination on algorithms for a Ph.D. program in Computer Science or Computer Engineering. About all, it is a good source for exam problems for those who teach algorithms and data structure. The format of each chapter is just a little bit of instruction followed by lots of problems. This book is intended to augment the problem sets found in any standard algorithms textbook. This book • begins with four chapters on background material that most algorithms instructors would like their students to have mastered before setting foot in an algorithms class. The introductory chapters include mathematical induction, complexity notations, recurrence relations, and basic algorithm analysis methods. • provides many problems on basic and advanced data structures including basic data structures (arrays, stack, queue, and linked list), hash, tree, search, and sorting algorithms. • provides many problems on algorithm design techniques: divide and conquer, dynamic programming, greedy algorithms, graph algorithms, and backtracking algorithms. • is rounded out with a chapter on NP-completeness HTTP:URL=https://doi.org/10.1007/978-3-031-17043-0
件　名	LCSH:Engineering -- Data processing 全ての件名で検索 LCSH:Computational intelligence LCSH:Machine learning LCSH:Engineering mathematics FREE:Data Engineering FREE:Computational Intelligence FREE:Machine Learning FREE:Mathematical and Computational Engineering Applications
分　類	LCC:TA345-345.5 DC23:620.00285
書誌ID	EB00000994
ISBN	9783031170430