Mathematical structures for computer science Judith L. Gersting.
Detalles de publicación: San Francisco W.H. Freeman c1982.Descripción: x, 426, 26 p. ill. 24 cmISBN:- 0716713055
- 510 19
- QA39.2 .G47 1982
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro | Biblioteca Encarnación Valdés Colección General bev | 510 G383m (Navegar estantería(Abre debajo)) | Disponible | 80000001204869 |
Descripciones mejoradas de Syndetics:
Computing Curricula 2001 (CC2001), a joint undertaking of the Institute for Electrical and Electronic Engineers/Computer Society (IEEE/CS) and the Association for Computing Machinery (ACM), identifies the essential material for an undergraduate degree in computer science. This Sixth Edition of "Mathematical Structures for Computer Science" covers all the topics in the CC2001 suggested curriculum for a one-semester intensive discrete structures course, and virtually everything suggested for a two-semester version of a discrete structures course. Gersting's text binds together what otherwise appears to be a collection of disjointed topics by emphasizing the following themes: - Importance of logical thinking- Power of mathematical notation- Usefulness of abstractions
Includes bibliographies and index.
Tabla de contenidos provista por Syndetics
- Preface
- Note to the Student
- 1 Formal Logic
- 1.1 Statements, Symbolic Representation, and Tautologies
- 1.2 Propositional Logic
- 1.3 Quantifiers, Predicates, and Validity
- 1.4 Predicate Logic
- 1.5 Logic Programming
- 1.6 Proof of Correctness
- 2 Proofs, Recursion, and Analysis of Algorithms
- 2.1 Proof Techniques
- 2.2 Induction
- 2.3 More on Proof of Correctness
- 2.4 Recursive Definitions
- 2.5 Recurrence Relations
- 2.6 Analysis of Algorithms
- 3 Sets, Combinatorics, Probability, and Number Theory
- 3.1 Sets
- 3.2 Counting
- 3.3 Principle of Inclusion and Exclusion; Pigeonhole Principle
- 3.4 Permutations and Combinations
- 3.5 Probability
- 3.6 Binomial Theorem
- 3.7 Number Theory
- 4 Relations, Functions, and Matrices
- 4.1 Relations
- 4.2 Topological Sorting
- 4.3 Relations and Databases
- 4.4 Functions
- 4.5 The Mighty Mod Function
- 4.6 Matrices
- 5 Graphs and Trees
- 5.1 Graphs and their Representations
- 5.2 Trees and their Representations
- 5.3 Decision Trees
- 5.4 Huffman Codes
- 6 Graph Algorithms
- 6.1 Directed Graphs and Binary Relations; Warshall's Algorithm
- 6.2 Euler Path and Hamiltonian Circuit
- 6.3 Shortest Path and Minimal Spanning Tree
- 6.4 Traversal Algorithms
- 6.5 Articulation Points and Computer Networks
- 7 Boolean Algebra and Computer Logic
- 7.1 Boolean Algebra Structure
- 7.2 Logic Networks
- 7.3 Minimization
- 8 Modeling Arithmetic, Computation, and Languages
- 8.1 Algebraic Structures
- 8.2 Finite-State Machines
- 8.3 Turing Machines
- 8.4 Formal Languages
- Appendixes
- Appendix A Derivation Rules for Propositional and Predicate Logic
- Appendix B Summation Notation
- Appendix C The Logarithm Function
- Answers to Practice Problems
- Answers to Selected Exercises
- Answers to Self-Tests
- Index