<a border="0">![Foundations of Algorithms Using C++ Pseudocode, Third Edition](https://box.kancloud.cn/57899a953982b28989ffdfa4bc4e46fe_78x103.gif)</a><a border="0">Foundations of Algorithms Using C++ Pseudocode, Third Edition</a>by聽Richard Neapolitan聽and聽Kumarss Naimipour聽 ISBN:0763723878<a>Jones and Bartlett Publishers</a> 漏 2004 (618 pages)This text offers a well-balanced presentation on designing algorithms, complexity analysis of algorithms, and computational complexity that is accessible to mainstream computer science students.
Table of Contents ![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Foundations of Algorithms Using C++ Pseudocode, Third Edition](LiB0001.html)![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Preface](LiB0002.html)![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 1](LiB0008.html)- Algorithms鈥擡fficiency, Analysis, and Order![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 2](LiB0014.html)- Divide-and-Conquer![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 3](LiB0024.html)- Dynamic Programming![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 4](LiB0032.html)- The Greedy Approach![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 5](LiB0039.html)- Backtracking![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 6](LiB0047.html)- Branch-and-Bound![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 7](LiB0052.html)- Introduction to Computational Complexity鈥擳he Sorting Problem![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 8](LiB0067.html)- More Computational Complexity鈥擳he Searching Problem![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 9](LiB0074.html)- Computational Complexity and Interactability鈥擜n Introduction to the Theory of NP![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 10](LiB0080.html)- Number-Theoretic Algorithms![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Chapter 11](LiB0089.html)- Introduction to Parallel Algorithms![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Appendix A](LiB0093.html)- Review of Necessary Mathematics![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Appendix B](LiB0102.html)- Solving Recurrence Equations鈥擶ith Applications to Analysis of Recursive Algorithms![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Appendix C](LiB0108.html)- Data Structures for Disjoint Sets![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[References](LiB0109.html)![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[Index](LiB0110.html)![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[List of Figures](LiB0135.html)![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[List of Tables](LiB0136.html)![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[List of Algorithms, Examples, and Theorems](LiB0137.html)![](https://box.kancloud.cn/e95df9d604ab2d89febe370ae4d88fb1_1x1.gif)[List of Sidebars](LiB0138.html)
- Table of Contents
- BackCover
- Foundations of Algorithms Using C++ Pseudocode, Third Edition
- Preface
- Chapter Contents
- Pedagogy
- Course Outlines
- Acknowledgments
- Errors
- Chapter 1: Algorithms - Efficiency, Analysis, and Order
- 1.2 The Importance of Developing Efficient Algorithms
- 1.3 Analysis of Algorithms
- 1.4 Order
- 1.5 Outline of This Book
- Exercises
- Chapter 2: Divide-and-Conquer
- 2.1 Binary Search
- 2.2 Mergesort
- 2.3 The Divide-and-Conquer Approach
- 2.4 Quicksort (Partition Exchange Sort)
- 2.5 Strassen's Matrix Multiplication Algorithm
- 2.6 Arithmetic with Large Integers
- 2.7 Determining Thresholds
- 2.8 When Not to Use Divide-and-Conquer
- Exercises
- Chapter 3: Dynamic Programming
- 3.1 The Binomial Coefficient
- 3.2 Floyd's Algorithm for Shortest Paths
- 3.3 Dynamic Programming and Optimization Problems
- 3.4 Chained Matrix Multiplication
- 3.5 Optimal Binary Search Trees
- 3.6 The Traveling Salesperson Problem
- Exercises
- Chapter 4: The Greedy Approach
- 4.1 Minimum Spanning Trees
- 4.2 Dijkstra's Algorithm for Single-Source Shortest Paths
- 4.3 Scheduling
- 4.4 Huffman Code
- 4.5 The Greedy Approach versus Dynamic Programming: The Knapsack Problem
- Exercises
- Chapter 5: Backtracking
- 5.2 The n-Queens Problem
- 5.3 Using a Monte Carlo Algorithm to Estimate the Efficiency of a Backtracking Algorithm
- 5.4 The Sum-of-Subsets Problem
- 5.5 Graph Coloring
- 5.6 The Hamiltonian Circuits Problem
- 5.7 The 0-1 Knapsack Problem
- Exercises
- Chapter 6: Branch-and-Bound
- 6.1 Illustrating Branch-and-Bound with the 0 - 1 Knapsack problem
- 6.2 The Traveling Salesperson Problem
- 6.3 Abductive Inference (Diagnosis)
- Exercises
- Chapter 7: Introduction to Computational Complexity - The Sorting Problem
- 7.2 Insertion Sort and Selection Sort
- 7.3 Lower Bounds for Algorithms that Remove at Most One Inversion per Comparison
- 7.4 Mergesort Revisited
- 7.5 Quicksort Revisited
- 7.6 Heapsort
- 7.6.1 Heaps and Basic Heap Routines
- 7.6.2 An Implementation of Heapsort
- 7.7 Comparison of Mergesort, Quicksort, and Heapsort
- 7.8 Lower Bounds for Sorting Only by Comparison of Keys
- 7.8.1 Decision Trees for Sorting Algorithms
- 7.8.2 Lower Bounds for Worst-Case Behavior
- 7.8.3 Lower Bounds for Average-Case Behavior
- 7.9 Sorting by Distribution (Radix Sort)
- Exercises
- Chapter 8: More Computational Complexity - The Searching Problem
- 8.1 Lower Bounds for Searching Only by Comparisons of Keys
- 8.2 Interpolation Search
- 8.3 Searching in Trees
- 8.4 Hashing
- 8.5 The Selection Problem: Introduction to Adversary Arguments
- Exercises
- Chapter 9: Computational Complexity and Interactability - An Introduction to the Theory of NP
- 9.2 Input Size Revisited
- 9.3 The Three General Problem Categories
- 9.4 The Theory of NP
- 9.5 Handling NP-Hard Problems
- Exercises
- Chapter 10: Number-Theoretic Algorithms
- 10.1 Number Theory Review
- 10.2 Computing the Greatest Common Divisor
- 10.3 Modular Arithmetic Review
- 10.4 Solving Modular Linear Equations
- 10.5 Computing Modular Powers
- 10.6 Finding Large Prime Numbers
- 10.7 The RSA Public-Key Cryptosystem
- Exercises
- Chapter 11: Introduction to Parallel Algorithms
- 11.1 Parallel Architectures
- 11.2 The PRAM Model
- Exercises
- Appendix A: Review of Necessary Mathematics
- A.2 Functions
- A.3 Mathematical Induction
- A.4 Theorems and Lemmas
- A.5 Logarithms
- A.6 Sets
- A.7 Permutations and Combinations
- A.8 Probability
- Exercises
- Appendix B: Solving Recurrence Equations - With Applications to Analysis of Recursive Algorithms
- B.2 Solving Recurrences Using the Characteristic Equation
- B.3 Solving Recurrences by Substitution
- B.4 Extending Results for n, a Power of a Positive Constant b, to n in General
- B.5 Proofs of Theorems
- Exercises
- Appendix C: Data Structures for Disjoint Sets
- References
- Index
- Index_B
- Index_C
- Index_D
- Index_E
- Index_F
- Index_G
- Index_H
- Index_I
- Index_J
- Index_K
- Index_L
- Index_M
- Index_N
- Index_O
- Index_P
- Index_Q
- Index_R
- Index_S
- Index_T
- Index_U
- Index_V
- Index_W-X
- Index_Y
- Index_Z
- List of Figures
- List of Tables
- List of Algorithms, Examples, and Theorems
- List of Sidebars