Skip to content

Data Structures and Algorithm Analysis in C++

Best in textbook rentals since 2012!

ISBN-10: 032144146X

ISBN-13: 9780321441461

Edition: 3rd 2007

Authors: Mark Allen Weiss

List price: $144.00
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!

In this text, readers are able to look at specific problems and see how careful implementations can reduce the time constraint for large amounts of data from several years to less than a second. Class templates are used to describe generic data structures and first-class versions of vector and string classes are used. Included is an appendix on a Standard Template Library (STL). This text is for readers who want to learn good programming and algorithm analysis skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate programming, including topics as object-based programming and recursion, and some…    
Customers also bought

Book details

List price: $144.00
Edition: 3rd
Copyright year: 2007
Publisher: Addison Wesley
Publication date: 2/28/2006
Binding: Hardcover
Pages: 586
Size: 7.75" wide x 9.25" long x 1.00" tall
Weight: 2.442

Preface
Introduction
What's the Book About?
Mathematics Review
Exponents
Logarithms
Series
Modular Arithmetic
The P Word
A Brief Introduction to Recursion
C++ Classes
Basic class Syntax
Extra Constructor Syntax and Accessors
Separation of Interface and Implementation
vector and string
C++ Details
Pointers
Parameter Passing
Return Passing
Reference Variables
The Big Three: Destructor, Copy Constructor, operator=
C-style Arrays and Strings
Templates
Function Templates
Class Templates
Object, Comparable, and an Example
Function Objects
Separate Compilation of Class Templates
Using Matrices
The Data Members, Constructor, and Basic Accessors
operator[]
Destructor, Copy Assignment, Copy Constructor
Summary
Exercises
References
Algorithm Analysis
Mathematical Background
Model
What to Analyze
Running Time Calculations
A Simple Example
General Rules
Solutions for the Maximum Subsequence Sum Problem
Logarithms in the Running Time
Checking Your Analysis
A Grain of Salt
Summary
Exercises
References
Lists, Stacks, and Queues
Abstract Data Types (ADTs)
The List ADT
Simple Array Implementation of Lists
Simple Linked Lists
vector and list in the STL
Iterators
Example: Using erase on a List
const_iterators
Implementation of vector
Implementation of list
The Stack ADT
Stack Model
Implementation of Stacks
Applications
The Queue ADT
Queue Model
Array Implementation of Queues
Applications of Queues
Summary
Exercises
Trees
Preliminaries
Implementation of Trees
Tree Traversals with an Application
Binary Trees
Implementation
An Example: Expression Trees
The Search Tree ADT-Binary Search Trees
contains
findMin and findMax
insert
remove
Destructor and Copy Assignment Operator
Average-Case Analysis
AVL Trees
Single Rotation
Double Rotation
Splay Trees
A Simple Idea (That Does Not Work)
Splaying
Tree Traversals (Revisited)
B-Trees
Sets and Maps in the Standard Library
Sets
Maps
Implementation of set and map
An Example That Uses Several Maps
Summary
Exercises
References
Hashing
General Idea
Hash Function
Separate Chaining
Hash Tables Without Linked Lists
Linear Probing
Quadratic Probing
Double Hashing
Rehashing
Hash Tables in the Standard Library
Extendible Hasing
Summary
Exercises
References
Priority Queues (Heaps)
Model
Simple Implementations
Binary Heap
Structure Property
Heap-Order Property
Basic Heap Operations
Other Heap Operations
Applications of Priority Queues
The Selection Problem
Event Simulation
d-Heaps
Leftist Heaps
Leftist Heap Property
Leftist Heap Operations
Skew Heaps
Binomial Queues
Binomial Queue Structure
Binomial Queue Operations
Implementation of Binomial Queues
Priority Queues in the Standard Library
Summary
Exercises
References
Sorting
Preliminaries
Insertion Sort
The Algorithm
STL Implementation of Insertion Sort
Analysis of Insertion Sort
A Lower Bound for Simple Sorting Algorithms
Shellsort
Worst-Case Analysis of Shellsort
Heapsort
Analysis of Heapsort
Mergesort
Analysis of Mergesort
Quicksort
Picking the Pivot
Partitioning Strategy
Small Arrays
Actual Quicksort Routines
Analysis of Quicksort
A Linear-Expected-Time Algorithm for Selection
Indirect Sorting
vector[left angle bracket]Comparable*[right angle bracket] Does Not Work
Smart Pointer Class
Overloading operator[left angle bracket]
Dereferencing a Pointer with *
Overloading the Type Conversion Operator
Implicit Type Conversions Are Everywhere
Dual-Direction Implicit Conversions Can Cause Ambiguities
Pointer Subtraction Is Legal
A General Lower Bound for Sorting
Decision Trees
Bucket Sort
External Sorting
Why We Need New Algorithms
Model for External Sorting
The Simple Algorithm
Multiway Merge
Polyphase Merge
Replacement Selection
Summary
Exercises
References
The Disjoint Set Class
Equivalence Relations
The Dynamic Equivalence Problem
Basic Data Structure
Smart Union Algorithms
Path Compression
Worst Case for Union-by-Rank and Path Compression
Analysis of the Union/Find Algorithm
An Application
Summary
Exercises
References
Graph Algorithms
Definitions
Representation of Graphs
Topological Sort
Shortest-Path Algorithms
Unweighted Shortest Paths
Dijkstra's Algorithm
Graphs with Negative Edge Costs
Acyclic Graphs
All-Pairs Shortest Path
Shortest Path Example
Network Flow Problems
A Simple Maximum-Flow Algorithm
Minimum Spanning Tree
Prim's Algorithm
Kruskal's Algorithm
Applications of Depth-First Search
Undirected Graphs
Biconnectivity
Euler Circuits
Directed Graphs
Finding Strong Components
Introduction to NP-Completeness
Easy vs. Hard
The Class NP
NP-Complete Problems
Summary
Exercises
References
Algorithm Design Techniques
Greedy Algorithms
A Simple Scheduling Problem
Huffman Codes
Approximate Bin Packing
Divide and Conquer
Running Time of Divide and Conquer Algorithms
Closest-Points Problem
The Selection Problem
Theoretical Improvements for Arithmetic Problems
Dynamic Programming
Using a Table Instead of Recursion
Ordering Matrix Multiplications
Optimal Binary Search Tree
All-Pairs Shortest Path
Randomized Algorithms
Random Number Generators
Skip Lists
Primality Testing
Backtracking Algorithms
The Turnpike Reconstruction Problem
Games
Summary
Exercises
References
Amortized Analysis
An Unrelated Puzzle
Binomial Queues
Skew Heaps
Fibonacci Heaps
Cutting Nodes in Leftist Heaps
Lazy Merging for Binomial Queues
The Fibonacci Heap Operations
Proof of the Time Bound
Splay Trees
Summary
Exercises
References
Advanced Data Structures and Implementation
Top-Down Splay Trees
Red-Black Trees
Bottom-Up Insertion
Top-Down Red-Black Trees
Top-Down Deletion
Deterministic Skip Lists
AA-Trees
Treaps
k-d Trees
Pairing Heaps
Summary
Exercises
References
Separate Compilation of Class Templates
Everything in the Header
Explicit Instantiation
The export Directive
Index