| 000 | 03537nam a22003615i 4500 | ||
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| 001 | 394332 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102123120.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 221101s2022 sz | s |||| 0|eng d | ||
| 020 | _a9783031170430 | ||
| 024 | 7 |
_a10.1007/978-3-031-17043-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 100 | 1 |
_aIzadkhah, Habib _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 245 | 1 | 0 |
_aProblems on Algorithms _bA Comprehensive Exercise Book for Students in Software Engineering _cby Habib Izadkhah |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XII, 513 páginas) _b95 ilustraciones, 4 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 505 | 0 | _aMathematical 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. | |
| 520 | _aWith 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. | ||
| 776 | 0 | 8 |
_iPrinted edition: _z9783031170423 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031170447 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031170454 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-17043-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Computer_2022 | ||
| 999 |
_c394332 _d394332 |
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