BIBLIOTECA HNO. HILDEBERTO JUAN

Introduction to the design & analysis of algorithms / Anany Levitin.

Por: Tipo de material: TextoTextoDetalles de publicación: Boston MA : Pearson Education , 2007.Edición: Second editionDescripción: 562 páginas : ilustracionesISBN:
  • 0321358287
Tema(s): Clasificación CDD:
  • 23 005.13 L666i
Contenidos parciales:
1. Introduction.-- 2. Fundamentals of the Analysis of Algorithm Efficiency.-- 3. Brute Force.-- 4. Divide-and-Conquer.-- 5. Decrease-and-Conquer.-- 6. Transform-and-Conquer.-- 7. Space and Time Tradeofs.- 8. Dynamic Programming.-- 9. Greedy Technique.-- 10. Iterative Improvement.-- 11. Limitatios of Algorithm Power.-- 12. Coping with the Limitations of Algorith Power.--
Resumen: Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, "Introduction to the Design and Analysis of Algorithms" presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course.
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Libros Libros Biblioteca Central CIENCIAS PURAS 005.13 L666i (Navegar estantería(Abre debajo)) Ej.1 Disponible B1162

Contiene: índice, apéndices, bibliografía y ejercicios.

1. Introduction.-- 2. Fundamentals of the Analysis of Algorithm Efficiency.-- 3. Brute Force.-- 4. Divide-and-Conquer.-- 5. Decrease-and-Conquer.-- 6. Transform-and-Conquer.-- 7. Space and Time Tradeofs.- 8. Dynamic Programming.-- 9. Greedy Technique.-- 10. Iterative Improvement.-- 11. Limitatios of Algorithm Power.-- 12. Coping with the Limitations of Algorith Power.--

Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, "Introduction to the Design and Analysis of Algorithms" presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course.

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