Logo

Search Algorithms and Applications

Small book cover: Search Algorithms and Applications

Search Algorithms and Applications
by

Publisher: InTech
ISBN-13: 9789533071565
Number of pages: 494

Description:
This book demonstrates the wide applicability of search algorithms for the purpose of developing useful and practical solutions to problems that arise in a variety of problem domains. It is targeted to a wide group of readers: researchers, graduate students, and practitioners.

Home page url

Download or read it online for free here:
Download link
(18MB, PDF)

Similar books

Book cover: Algorithms and Data Structures: With Applications to Graphics and GeometryAlgorithms and Data Structures: With Applications to Graphics and Geometry
by - Prentice Hall
Contents: Programming environments for motion, graphics, and geometry; Programming concepts - beyond notation; Objects, algorithms, programs; Complexity of problems and algorithms; Data structures; Interaction between algorithms and data structures.
(11461 views)
Book cover: Algorithms and Data Structures for External MemoryAlgorithms and Data Structures for External Memory
by - Now Publishers
The book describes several useful paradigms for the design and implementation of efficient EM algorithms and data structures. The problem domains considered include sorting, permuting, FFT, scientific computing, computational geometry, graphs, etc.
(14130 views)
Book cover: Data Structures and Algorithm Analysis in C++Data Structures and Algorithm Analysis in C++
by - Dover Publications
A comprehensive treatment focusing on efficient data structures and algorithms, this text explains how to select or design the data structure best suited to specific problems. It uses C++ programming language and is suitable for second-year courses.
(28012 views)
Book cover: Notes on Data Structures and Programming TechniquesNotes on Data Structures and Programming Techniques
by - Yale University
Topics include programming in C; data structures (arrays, stacks, queues, lists, trees, heaps, graphs); sorting and searching; storage allocation and management; data abstraction; programming style; testing and debugging; writing efficient programs.
(10237 views)