Libro - GeneralUbicación Física: 005.1 / M113
Analysis of algorithms : an active learning approach / | |
| Autor: | McConeel, Jeffrey J. |
| Pié de imprenta: | Sudbury, Massachusetts : Jones and Bartlett Publishers, 2008. |
| Edición: | 2a. ed. |
| Descripción: | 451 p. |
| ISBN: | 9780763707828. |
| Tema(s): | |
| Resumen: | Updated to follow the recommendations put forth by the ACM/SIGCSE 2001 task force, Analysis of Algorithms: An Active Learning Approach, second edition raises reader awareness of the effects that algorithms have on the efficiency of a program, and helps students develop the skill necessary to analyze the algorithms used in effective learning approach, Jeffrey McConnell developed the text with the premise that students learn more effectively and retain information longer when they are active participants in the learning process. To accomplish this, chapters are clear, complete, student-friendly, and filled with exciting examples and exercises that examine the efficiency of various algorithms to solve meaningful, real-world problems. |
| Tipo de ítem | Biblioteca actual | Colección | Signatura topográfica | Copia número | Estado | Fecha de vencimiento | Código de barras | |
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Libro - General
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BIBLIOTECA SEDE LA CARO Depósito | Colección General | 005.1 / M113 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | 701572 |
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Updated to follow the recommendations put forth by the ACM/SIGCSE 2001 task force, Analysis of Algorithms: An Active Learning Approach, second edition raises reader awareness of the effects that algorithms have on the efficiency of a program, and helps students develop the skill necessary to analyze the algorithms used in effective learning approach, Jeffrey McConnell developed the text with the premise that students learn more effectively and retain information longer when they are active participants in the learning process. To accomplish this, chapters are clear, complete, student-friendly, and filled with exciting examples and exercises that examine the efficiency of various algorithms to solve meaningful, real-world problems.
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