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Algorithms and Data Structures The Basic Toolbox /
Algorithms 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 retriev...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-77978-0 | ||
| 003 | DE-He213 | ||
| 005 | 20220118162305.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100301s2008 gw | s |||| 0|eng d | ||
| 020 | |a 9783540779780 |9 978-3-540-77978-0 | ||
| 024 | 7 | |a 10.1007/978-3-540-77978-0 |2 doi | |
| 050 | 4 | |a QA76.6-76.66 | |
| 072 | 7 | |a UM |2 bicssc | |
| 072 | 7 | |a COM051000 |2 bisacsh | |
| 072 | 7 | |a UM |2 thema | |
| 082 | 0 | 4 | |a 005.11 |2 23 |
| 100 | 1 | |a Mehlhorn, Kurt. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Algorithms and Data Structures |h [electronic resource] : |b The Basic Toolbox / |c by Kurt Mehlhorn, Peter Sanders. |
| 250 | |a 1st ed. 2008. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2008. | |
| 300 | |a XII, 300 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Appetizer: 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 | |a Algorithms 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 | |a Computer programming. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 0 | |a Artificial intelligence-Data processing. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 1 | 4 | |a Programming Techniques. |
| 650 | 2 | 4 | |a Algorithms. |
| 650 | 2 | 4 | |a Data Science. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 700 | 1 | |a Sanders, Peter. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642096822 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540849018 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540779773 |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-540-77978-0 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||