Posted by **exLib** at Dec. 2, 2017

ITexLi | 2017 | ISBN: 9533076593 9789533076591 | 212 pages | PDF | 15 MB

The purpose of this book is to present scientific and engineering works whose numerical and graphical analysis were all constructed using the power of MATLABÂ® tools. This book is a collection of interesting examples of where this computational package can be applied.

Posted by **fdts** at Dec. 8, 2015

by Alain Vande Wouwer

English | 2014 | ISBN: 3319067893 | 424 pages | PDF | 12.6 MB

Posted by **roxul** at July 12, 2014

English | ISBN: 3319067893 | 2014 | 424 pages | PDF | 13 MB

Posted by **roxul** at March 12, 2018

English | EPUB | 2017 | 170 Pages | ISBN : 3319585649 | 3 MB

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

Published: 1994-08-19 | ISBN: 0201533936 | PDF | 688 pages | 16.78 MB

Posted by **exLib** at April 10, 2015

InTeOp | 2012 | ISBN: 9535107526 9789535107521 | 498 pages | PDF | 18 MB

This excellent book represents the final part of three-volumes regarding MATLAB-based applications in almost every branch of science.

Posted by **exLib** at April 10, 2015

InTeOp | 2012 | ISBN: 9535107518 9789535107514 | 322 pages | PDF | 12 MB

This excellent book represents the second part of three-volumes regarding MATLAB-based applications in almost every branch of science.

Posted by **exLib** at April 10, 2015

InTeOp | 2012 | ISBN: 953510750X 9789535107507 | 533 pages | PDF | 25 MB

This is the first book in a three-volume series deploying MATLAB-based applications in almost every branch of science. This volume, presents interesting topics from different areas of engineering, signal and image processing based on the MATLAB environment.

Posted by **ksveta6** at Aug. 16, 2017

2017 | ISBN: 1498745172 | English | 584 pages | PDF | 17 MB

Posted by **AvaxGenius** at July 3, 2017

English | PDF | 2017 | 170 Pages | ISBN : 3319585649 | 10.8 MB

This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in multi-objective optimization and applications in mathematical and engineering system design using a new optimization strategy, namely the Self-Adaptive Multi-objective Optimization Differential Evolution (SA-MODE) algorithm.