000 | 03832nam a22004935i 4500 | ||
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001 | 978-3-540-77978-0 | ||
003 | DE-He213 | ||
005 | 20161121230719.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2008 gw | s |||| 0|eng d | ||
020 |
_a9783540779780 _9978-3-540-77978-0 |
||
024 | 7 |
_a10.1007/978-3-540-77978-0 _2doi |
|
050 | 4 | _aQA76.6-76.66 | |
072 | 7 |
_aUM _2bicssc |
|
072 | 7 |
_aCOM051000 _2bisacsh |
|
082 | 0 | 4 |
_a005.11 _223 |
100 | 1 |
_aMehlhorn, Kurt. _eauthor. |
|
245 | 1 | 0 |
_aAlgorithms and Data Structures _h[electronic resource] : _bThe Basic Toolbox / _cby Kurt Mehlhorn, Peter Sanders. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2008. |
|
300 |
_aXII, 300 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aAppetizer: Integer Arithmetics -- Representing Sequences by Arrays and Linked Lists -- Hash Tables and Associative Arrays -- Sorting and Selection -- Priority Queues -- Sorted Sequences -- Graph Representation -- Graph Traversal -- Shortest Paths -- Minimum Spanning Trees -- Generic Approaches to Optimization. | |
520 | _aAlgorithms are at the heart of every nontrivial computer application, and algorithmics is a modern and active area of computer science. Every computer scientist and every professional programmer should know about the basic algorithmic toolbox: structures that allow efficient organization and retrieval of data, frequently used algorithms, and basic techniques for modeling, understanding and solving algorithmic problems. This book is a concise introduction addressed to students and professionals familiar with programming and basic mathematical language. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, and optimization. The algorithms are presented in a modern way, with explicitly formulated invariants, and comment on recent trends such as algorithm engineering, memory hierarchies, algorithm libraries and certifying algorithms. The authors use pictures, words and high-level pseudocode to explain the algorithms, and then they present more detail on efficient implementations using real programming languages like C++ and Java. The authors have extensive experience teaching these subjects to undergraduates and graduates, and they offer a clear presentation, with examples, pictures, informal explanations, exercises, and some linkage to the real world. Most chapters have the same basic structure: a motivation for the problem, comments on the most important applications, and then simple solutions presented as informally as possible and as formally as necessary. For the more advanced issues, this approach leads to a more mathematical treatment, including some theorems and proofs. Finally, each chapter concludes with a section on further findings, providing views on the state of research, generalizations and advanced solutions. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aComputer programming. | |
650 | 0 | _aData structures (Computer science). | |
650 | 0 | _aAlgorithms. | |
650 | 0 | _aComputers. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aProgramming Techniques. |
650 | 2 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aData Structures. |
650 | 2 | 4 | _aComputing Methodologies. |
700 | 1 |
_aSanders, Peter. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783540779773 |
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-540-77978-0 |
912 | _aZDB-2-SCS | ||
950 | _aComputer Science (Springer-11645) | ||
999 |
_c502880 _d502880 |