Algorithms: Sequential, Parallel, and Distributed 1st Edition

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 1 Introduction and Preliminaries At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed, Second Edition 10-1 Chapter 10 Backtracking and Branch-and-Bound At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 11 Graphs and Digraphs At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Chapter 12 Minimum Spanning Tree and Shortest Path Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises Objectives Instructor Notes Solutions to Selected Exercises Objectives

12.15 If there is a negative cycle, then after the nth pass some edge uu1 will be relaxed, and the parent array Parent[0:n 1] will contain a negative cycle u u1 u2 uj u, where u = Parent[u1], ui = Parent[ui+1], i = 1, , j 1, and uj =

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 13 Graph Connectivity and Fault Tolerance of Networks At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 14 Matching and Network Flow Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 15 Introduction to the Design of Parallel Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-12 Algorithms: Sequential, Parallel and Distributed 1-12 Algorithms: Sequential, Parallel and Distributed 1-12 15.18 The following is a nonrecursive version of MergeSortPRAM. procedure MergeSortPRAM(L[0:n 1]) Model: EREW PRAM //the number of processors needed depends on the //implementation of MergePRAM Input: L[0:n

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 16 Parallel Design Strategies At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 17 Internet Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 18 Distributed Computation Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises Lecture Notes

Algorithms: Sequential, Parallel and Distributed 1-18 master.c /* * nQueens problem * master.c * - general framework * * MPI Version Master/Worker paradigm * /* * nQueens problem * master.c * - general framework * * MPI Version Master/Worker paradigm * /* * nQueens

Chapter 19 Distributed Network Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises Lecture Notes Overview In Chapter 19

Algorithms: Sequential, Parallel and Distributed 2-1 Chapter 2 Design and Analysis Fundamentals At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 20 String Matching and Document Processing At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-16 Algorithms: Sequential, Parallel and Distributed 1-17 Algorithms: Sequential, Parallel and Distributed 1-17 Algorithms: Sequential, Parallel and Distributed 1-17 Algorithms: Sequential, Parallel and Distributed 1-18 Algorithms: Sequential, Parallel and Distributed 1-18 Algorithms: Sequential, Parallel

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 21 Balanced Search Trees At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 22 The Fast Fourier Transform At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 23 Heuristic Search Strategies At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Chapter 24 Probabilistic and Randomized Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 25 Lower Bound Theory At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 26 NP-Complete Problems At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 1-1 Chapter 27 Approximation Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 3-1 Chapter 3 Mathematical Tools for Algorithm Analysis At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 4-13 endif end PostOrder2 The above pseudocode is spaghetti indeed! After pondering its action awhile (or by pondering the action of a postorder traversal directly), the following structured version can be obtained. procedure PostOrder3(Root) Input: Root (pointer to the root node

Algorithms: Sequential, Parallel and Distributed 4-1 Chapter 4 Trees and Applications to Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed 5-1 Chapter 5 More on Sorting Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises Overview Objectives Instructor Notes Solutions to Selected Exercises Overview

Algorithms: Sequential, Parallel and Distributed 6-1 Chapter 6 Probability and the Average Behavior of Algorithms At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed, Second Edition 7-1 Chapter 7 The Greedy Method At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed, Second Edition 8-1 Chapter 8 Divide-and-Conquer At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises

Algorithms: Sequential, Parallel and Distributed, Second Edition 9-1 Chapter 9 Dynamic Programming At a Glance Table of Contents Overview Objectives Instructor Notes Solutions to Selected Exercises Overview Objectives Instructor Notes Solutions to Selected Exercises Overview