Optimization Software Guide

Optimization Software Guide
Author :
Publisher : SIAM
Total Pages : 149
Release :
ISBN-10 : 9780898713220
ISBN-13 : 0898713226
Rating : 4/5 (226 Downloads)

Book Synopsis Optimization Software Guide by : Jorge J. More

Download or read book Optimization Software Guide written by Jorge J. More and published by SIAM. This book was released on 1993-01-01 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Numerical Analysis.


Optimization Software Guide Related Books

Optimization Software Guide
Language: en
Pages: 149
Authors: Jorge J. More
Categories: Mathematics
Type: BOOK - Published: 1993-01-01 - Publisher: SIAM

DOWNLOAD EBOOK

Mathematics of Computing -- Numerical Analysis.
Software Optimization for High-performance Computing
Language: en
Pages: 414
Authors: Kevin R. Wadleigh
Categories: Computers
Type: BOOK - Published: 2000 - Publisher: Prentice Hall Professional

DOWNLOAD EBOOK

The hands-on guide to high-performance coding and algorithm optimization. This hands-on guide to software optimization introduces state-of-the-art solutions for
Applied Optimization
Language: en
Pages: 859
Authors: Ross Baldick
Categories: Technology & Engineering
Type: BOOK - Published: 2009-01-18 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathe
Sniffer Pro Network Optimization & Troubleshooting Handbook
Language: en
Pages: 689
Authors: Syngress
Categories: Computers
Type: BOOK - Published: 2002-08-16 - Publisher: Elsevier

DOWNLOAD EBOOK

Sniffer Network Optimization and Troubleshooting Handbook introduces the reader to the vast functionality of the suite of Sniffer Solutions from Network Associa
Optimizing Oracle Performance
Language: en
Pages: 418
Authors: Cary Millsap
Categories: Computers
Type: BOOK - Published: 2003-09-16 - Publisher: "O'Reilly Media, Inc."

DOWNLOAD EBOOK

Oracle system performance inefficiencies often go undetected for months or even years--even under intense scrutiny--because traditional Oracle performance analy