Posted by **exLib** at Dec. 6, 2017

Wi | 2015 | ISBN: 1118802195 9781118802199 | 417+362 pages | PDF | 33+2 MB

This concise book is known for its just-in-time learning approach that gives students information when they need it. This edition gradually presents the latest MATLAB functionality in detail.

Posted by **exLib** at Dec. 6, 2017

Wi | 2015 | ISBN: 1118802195 9781118802199 | 362 pages | PDF | 2 MB

Equally effective as a freshmen-level text, self-study tool, or course reference, the book is generously illustrated through computer screen shots and step-by-step tutorials, with abundant and motivating applications to problems in mathematics, science, and engineering.

Posted by **Jeembo** at Dec. 3, 2017

English | 2015 | ISBN: 1305271815 | 592 Pages | PDF | 27.0 MB

This Student Solutions Manual contains strategies for solving and solutions to selected exercises in the text Single Variable Calculus, Eighth Edition, by James Stewart.

Posted by **DZ123** at Oct. 11, 2017

English | 2014 | ISBN: 1285774779 | PDF | pages: 1631 | 15.9 mb

Posted by **naag** at March 10, 2017

Springer | Mathematics | April 23 2016 | ISBN-10: 331930920X | 304 pages | EPUB | 0.2 mb

Posted by **Underaglassmoon** at July 2, 2016

Springer | Mathematics | April 23 2016 | ISBN-10: 331930920X | 304 pages | pdf | 2.27 mb

Authors: Zaslavski, Alexander J.

Reinforces basic principles with an introductory chapter

Analyzes the gradient projection algorithm for minimization of convex and smooth functions

Posted by **arundhati** at Jan. 13, 2015

2008 | ISBN-10: 0470258799 | 188 pages | PDF | 7 MB

Posted by **ChrisRedfield** at Dec. 2, 2014

Published: 2013-10-21 | ISBN: 1118395131 | PDF | 316 pages | 1 MB

Posted by **Specialselection** at Jan. 19, 2014

English | 2006-10-06 | ISBN: 0471726443 | 314 pages | PDF | 19.3 mb

Posted by **j1foo** at Feb. 26, 2007

Springer | ISBN 0387303030 | 2006 Year | PDF | 3,99 Mb | 664 Pages

“Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.”