Posted by **lengen** at Aug. 15, 2017

English | Dec. 15, 2014 | ISBN: 311042603X | 257 Pages | ePub | 10 MB

The goal of this book is to present the main ideas and techniques in the field of continuous smooth and nonsmooth optimization. Starting with the case of differentiable data and the classical results on constrained optimization problems, and continuing with the topic of nonsmooth objects involved in optimization theory, the book concentrates on both theoretical and practical aspects of this field.

Posted by **AvaxGenius** at June 11, 2017

English | PDF | 2017 | 644 Pages | ISBN : 1493970534 | 10.13 MB

This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields. It is both literate and mathematically strong, yet requires no prior course in optimization.

Posted by **step778** at Nov. 18, 2016

1998 | pages: 379 | ISBN: 1461332818 | PDF | 21,6 mb

Posted by **arundhati** at July 1, 2016

English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 3 MB

Posted by **libr** at Oct. 23, 2015

English | 2013 | ISBN: 1849195439 | ISBN-13: 9781849195430 | 392 pages | PDF | 22 MB

Posted by **kalyan1232008** at April 30, 2009

Publisher:Springer (2005-01-04) | ISBN-10: 1402081103 | PDF | 5.3 Mb | 261 pages

The book is aimed at lecturers and students (undergraduate and postgraduate) in mathematics, computational finance and related subjects. It is also useful for researchers and practitioners who need a good introduction to non-linear optimization.

Posted by **naag** at March 21, 2017

English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 3 MB

Posted by **naag** at March 11, 2017

1998 | pages: 379 | ISBN: 1461332818 | PDF | 21,6 mb

Posted by **step778** at Jan. 11, 2017

1996 | pages: 367 | ISBN: 1489902910 | PDF | 14,5 mb

Posted by **tanas.olesya** at Nov. 15, 2016

English | 7 Feb. 2006 | ISBN: 0387295704 | 316 Pages | PDF | 7 MB

Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated.