Hinfinity Engineering And Amplifier Optimization

Cloud and Fog Optimization-based Solutions for Sustainable Developments  eBooks & eLearning

Posted by yoyoloit at Nov. 20, 2024
Cloud and Fog Optimization-based Solutions for Sustainable Developments

Cloud and Fog Optimization-based Solutions for Sustainable Developments
by Shilpi Harnal, Rajeev Tiwari, Lalit Garg, Ashish Mathur

English | 2025 | ISBN: 1032799099 | 338 pages | True PDF EPUB | 21.93 MB
Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach

Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach By Lingai Luo
2013 | 188 Pages | ISBN: 1447147413 | PDF | 6 MB
Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 4th Edition

Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in Probability and Statistics) by Raymond H. Myers, Douglas C. Montgomery, Christine M. Anderson-Cook
2016 | ISBN: 1118916018 | English | 856 pages | PDF | 27 MB

Electronic Devices and Amplifier Circuits with MATLAB Computing, Second Edition  eBooks & eLearning

Posted by Nice_smile) at Feb. 13, 2017
Electronic Devices and Amplifier Circuits with MATLAB Computing, Second Edition

Electronic Devices and Amplifier Circuits with MATLAB Computing, Second Edition by Steven T Karris
English | 2008 | ISBN: 1934404136 | 664 Pages | PDF | 4.01 MB
Fast Motions in Biomechanics and Robotics: Optimization and Feedback Control (Repost)

Fast Motions in Biomechanics and Robotics: Optimization and Feedback Control By Moritz Diehl, Katja Mombaur
2006 | 456 Pages | ISBN: 3540361189 | PDF | 7 MB

Nature-Inspired Algorithms and Applied Optimization (Repost)  eBooks & eLearning

Posted by AvaxGenius at July 2, 2018
Nature-Inspired Algorithms and Applied Optimization (Repost)

Nature-Inspired Algorithms and Applied Optimization By Xin-She Yang
English | EPUB | 2018 | 332 Pages | ISBN : 3319676687 | 3.56 MB

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms.
Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach (Repost)

Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach By Lingai Luo
2013 | 188 Pages | ISBN: 1447147413 | PDF | 6 MB
Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach (Repost)

Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach By Lingai Luo
2013 | 188 Pages | ISBN: 1447147413 | PDF | 5 MB
Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach (Repost)

Heat and Mass Transfer Intensification and Shape Optimization: A Multi-scale Approach By Lingai Luo
2013 | 188 Pages | ISBN: 1447147413 | PDF | 6 MB

Nature-Inspired Algorithms and Applied Optimization  eBooks & eLearning

Posted by AvaxGenius at June 8, 2018
Nature-Inspired Algorithms and Applied Optimization

Nature-Inspired Algorithms and Applied Optimization By Xin-She Yang
English | EPUB | 2018 | 332 Pages | ISBN : 3319676687 | 3.56 MB

This book reviews the state-of-the-art developments in nature-inspired algorithms and their applications in various disciplines, ranging from feature selection and engineering design optimization to scheduling and vehicle routing. It introduces each algorithm and its implementation with case studies as well as extensive literature reviews, and also includes self-contained chapters featuring theoretical analyses, such as convergence analysis and no-free-lunch theorems so as to provide insights into the current nature-inspired optimization algorithms.