Mark allen weiss solution manual

Mark Allen Weiss - Data Structures and Algorithm Analysis in C++.

Fures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rorous and in-depth analysis of each type of algorithm.

Snow Landing Page Theme

A logical organization of topics and full access to source code complement the text’s coverage. 11.2 Mathematics Review 21.2.1 Exponents 31.2.2 Logarithms 31.2.3 Series 41.2.4 Modular Arithmetic 51.2.5 The P Word 61.3 A Brief Introduction to Recursion 81.4 Implementing Generic Components Pre-Java 5 121.4.1 Using Object for Genericity 131.4.2 Wrappers for Primitive Types 141.4.3 Using Interface Types for Genericity 141.4.4 Compatibility of Array Types 161.5 Implementing Generic Components Using Java 5 Generics 161.5.1 Simple Generic Classes and Interfaces 171.5.2 Autoboxing/Unboxing 181.5.3 The Diamond Operator 181.5.4 Wildcards with Bounds 191.5.5 Generic Static Methods 201.5.6 Type Bounds 211.5.7 Type Erasure 221.5.8 Restrictions on Generics 231.6 Function Objects 24Summary 26Exercises 26References 28Chapter 2 Algorithm Analysis 292.1 Mathematical Background 292.2 Model 322.3 What to Analyze 332.4 Running Time Calculations 352.4.1 A Simple Example 362.4.2 General Rules 362.4.3 Solutions for the Maximum Subsequence Sum Problem 392.4.4 Logarithms in the Running Time 452.4.5 A Grain of Salt 49Summary 49Exercises 50References 55Chapter 3 Lists, Stacks, and Queues 573.1 Abstract Data Types (ADTs) 573.2 The List ADT 583.2.1 Simple Array Implementation of Lists 583.2.2 Simple Linked Lists 593.3 Lists in the Java Collections API 613.3.1 Collection Interface 613.3.2 Iterators 613.3.3 The List Interface, Array List, and Linked List 633.3.4 Example: Using remove on a Linked List 653.3.5 List Iterators 673.4 Implementation of Array List 673.4.1 The Basic Class 683.4.2 The Iterator and Java Nested and Inner Classes 713.5 Implementation of Linked List 753.6 The Stack ADT 823.6.1 Stack Model 823.6.2 Implementation of Stacks 833.6.3 Applications 843.7 The Queue ADT 923.7.1 Queue Model 923.7.2 Array Implementation of Queues 923.7.3 Applications of Queues 95Summary 96Exercises 96Chapter 4 Trees 1014.1 Preliminaries 1014.1.1 Implementation of Trees 1024.1.2 Tree Traversals with an Application 1034.2 Trees 1074.2.1 Implementation 1084.2.2 An Example: Expression Trees 1094.3 The Search Tree ADT– Search Trees 1124.3.1 contains 1134.3.2 find Min and find Max 1154.3.3 insert 1164.3.4 remove 1184.3.5 Average-Case Analysis 1204.4 AVL Trees 1234.4.1 Single Rotation 1254.4.2 Double Rotation 1284.5 Splay Trees 1374.5.1 A Simple Idea (That Does Not Work) 1374.5.2 Splaying 1394.6 Tree Traversals (Revisited) 1454.7 B-Trees 1474.8 Sets and Maps in the Standard Library 1524.8.1 Sets 1524.8.2 Maps 1534.8.3 Implementation of Tree Set and Tree Map 1534.8.4 An Example That Uses Several Maps 154Summary 160Exercises 160References 167Chapter 5 Hashing 1715.1 General Idea 1715.2 Hash Function 1725.3 Separate Chaining 1745.4 Hash Tables Without Linked Lists 1795.4.1 Linear Probing 1795.4.2 Quadratic Probing 1815.4.3 Double Hashing 1835.5 Rehashing 1885.6 Hash Tables in the Standard Library 1895.7 Hash Tables with Worst-Case O(1) Access 1925.7.1 Perfect Hashing 1935.7.2 Cuckoo Hashing 1955.7.3 Hopscotch Hashing 2055.8 Universal Hashing 2115.9 Extendible Hashing 214Summary 217Exercises 218References 222Chapter 6 Priority Queues (Heaps) 2256.1 Model 2256.2 Simple Implementations 2266.3 Heap 2266.3.1 Structure Property 2276.3.2 Heap-Order Property 2296.3.3 Basic Heap Operations 2296.3.4 Other Heap Operations 2346.4 Applications of Priority Queues 2386.4.1 The Selection Problem 2386.4.2 Event Simulation 2396.5 d-Heaps 2406.6 Leftist Heaps 2416.6.1 Leftist Heap Property 2416.6.2 Leftist Heap Operations 2426.7 Skew Heaps 2496.8 Binomial Queues 2526.8.1 Binomial Queue Structure 2526.8.2 Binomial Queue Operations 2536.8.3 Implementation of Binomial Queues 2566.9 Priority Queues in the Standard Library 261Summary 261Exercises 263References 267Chapter 7 Sorting 2717.1 Preliminaries 2717.2 Insertion Sort 2727.2.1 The Algorithm 2727.2.2 Analysis of Insertion Sort 2727.3 A Lower Bound for Simple Sorting Algorithms 2737.4 Shellsort 2747.4.1 Worst-Case Analysis of Shellsort 2767.5 Heapsort 2787.5.1 Analysis of Heapsort 2797.6 Mergesort 2827.6.1 Analysis of Mergesort 2847.7 Quicksort 2887.7.1 Picking the Pivot 2907.7.2 Partitioning Strategy 2927.7.3 Small Arrays 2947.7.4 Actual Quicksort Routines 2947.7.5 Analysis of Quicksort 2977.7.6 A Linear-Expected-Time Algorithm for Selection 3007.8 A General Lower Bound for Sorting 3027.8.1 Decision Trees 3027.9 Decision-Tree Lower Bounds for Selection Problems 3047.10 Adversary Lower Bounds 3077.11 Linear-Time Sorts: Bucket Sort and Radix Sort 3107.12 External Sorting 3157.12.1 Why We Need New Algorithms 3167.12.2 Model for External Sorting 3167.12.3 The Simple Algorithm 3167.12.4 Multiway Merge 3177.12.5 Polyphase Merge 3187.12.6 Replacement Selection 319Summary 321Exercises 321References 327Chapter 8 The Disjoint Set Class 3318.1 Equivalence Relations 3318.2 The Dynamic Equivalence Problem 3328.3 Basic Data Structure 3338.4 Smart Union Algorithms 3378.5 Path Compression 3408.6 Worst Case for Union-by-Rank and Path Compression 3418.6.1 Slowly Growing Functions 3428.6.2 An Analysis By Recursive Decomposition 3438.6.3 An O(M log * N) Bound 3508.6.4 An O( M α (M, N) ) Bound 3508.7 An Application 352Summary 355Exercises 355References 357Chapter 9 Graph Algorithms 3599.1 Definitions 3599.1.1 Representation of Graphs 3609.2 Topological Sort 3629.3 Shortest-Path Algorithms 3669.3.1 Unwehted Shortest Paths 3679.3.2 Dijkstra’s Algorithm 3729.3.3 Graphs with Negative Edge Costs 3809.3.4 Acyclic Graphs 3809.3.5 All-Pairs Shortest Path 3849.3.6 Shortest-Path Example 3849.4 Network Flow Problems 3869.4.1 A Simple Maximum-Flow Algorithm 3889.5 Minimum Spanning Tree 3939.5.1 Prim’s Algorithm 3949.5.2 Kruskal’s Algorithm 3979.6 Applications of Depth-First Search 3999.6.1 Undirected Graphs 4009.6.2 Biconnectivity 4029.6.3 Euler Circuits 4059.6.4 Directed Graphs 4099.6.5 Finding Strong Components 4119.7 Introduction to NP-Completeness 4129.7.1 Easy vs.

EBooks Free Download PDF

Explore The Best eBook And Get It For Free -

Data Structures and Algorithm Analysis in Java is an advanced algorithms book that fits between traditional CS2 and Algorithms Analysis courses.

Best Manual PDF Guides Catalogue by Ruth Thompson

In the old ACM Curriculum Guidelines, this course was known as CS7.


Mark allen weiss solution manual:

Rating: 93 / 100

Overall: 91 Rates

Добавить комментарий

Ваш e-mail не будет опубликован. Обязательные поля помечены *