Mastering Algorithms With Perl
Written for readers with at least some Perl programming experience, Mastering Algorithms in Perl delivers a solid library of algorithms written in Perl for business and mathematical computing. From data structures to cryptography and more advanced mathematical algorithms, this book provides a worthwhile guide to extending Perl's coding capabilities. Topics include Perl data types, Big-O notation, data structures, queues, deques, linked lists, binary trees, sorting and searching algorithms, game and dynamic programming, sets and multisets, matrices and graphs, string matching and parsing, 2-D geometry, number systems, cryptography (including DES and RSA), probability, statistics, and numerical analysis.
- Cost: $24.47
- Pages: 684
- Edition: paperback
- ISBN: 1565923987
Resource Specification
Category:
Title / Program Name:
Mastering Algorithms With Perl
URL:
http://www.amazon.com/exec/obidos/ASIN/1565923987/bigwebmasters-20
Screenshots URL:
http://www.bigwebmaster.com/screenshots/1565923987.jpg
Released Date:
October, 1999
Cost:
$24.47
List Price:
$34.95
Pages:
684
Edition:
paperback
ISBN:
1565923987
Publisher:
O'Reilly & Associates
Author:
John Macdonald, Jon Orwant, Jarkko Hietaniemi
Keywords:
data types, perl algorithms, string processing, Perl subroutines
Summary:
Solid library of algorithms written in Perl
Description:
Written for readers with at least some Perl programming experience, Mastering Algorithms in Perl delivers a solid library of algorithms written in Perl for business and mathematical computing. From data structures to cryptography and more advanced mathematical algorithms, this book provides a worthwhile guide to extending Perl's coding capabilities. Topics include Perl data types, Big-O notation, data structures, queues, deques, linked lists, binary trees, sorting and searching algorithms, game and dynamic programming, sets and multisets, matrices and graphs, string matching and parsing, 2-D geometry, number systems, cryptography (including DES and RSA), probability, statistics, and numerical analysis.
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