Descent Gradient Methods

High-performance Gradient Elution: The Practical Application of the Linear-solvent-strength Model (repost)

Lloyd R. Snyder, John W. Dolan, "High-performance Gradient Elution: The Practical Application of the Linear-solvent-strength Model"
2006 | ISBN-10: 0471706469 | 496 pages | PDF | 15 MB
Bionic Optimization in Structural Design: Stochastically Based Methods to Improve the Performance of Parts and Assemblies

Bionic Optimization in Structural Design: Stochastically Based Methods to Improve the Performance of Parts and Assemblies By Rolf Steinbuch, Simon Gekeler
2016 | 174 Pages | ISBN: 3662465957 | PDF | 7 MB
High-Performance Gradient Elution: The Practical Application of the Linear-Solvent-Strength Model

Lloyd R. Snyder, John W. Dolan, " High-Performance Gradient Elution:
The Practical Application of the Linear-Solvent-Strength Model"

Wiley-Interscience (December 11, 2006) | ISBN:0471706469 | 496 pages | PDF | 13,4 Mb

Regularization, Optimization, Kernels, and Support Vector Machines (repost)  eBooks & eLearning

Posted by libr at Feb. 27, 2016
Regularization, Optimization, Kernels, and Support Vector Machines (repost)

Regularization, Optimization, Kernels, and Support Vector Machines by Johan A.K. Suykens and Marco Signoretto
English | 2014 | ISBN: 1482241390 | 525 pages | PDF | 8 MB
Stochastic Optimization Methods: Applications in Engineering and Operations Research (Repost)

Kurt Marti, "Stochastic Optimization Methods: Applications in Engineering and Operations Research"
English | ISBN: 3662462133 | 2015 | 368 pages | PDF | 4 MB

Stochastic Optimization Methods  eBooks & eLearning

Posted by Underaglassmoon at March 31, 2015
Stochastic Optimization Methods

Stochastic Optimization Methods: Applications in Engineering and Operations Research
Springer | Business & Management | Feb. 21 2015 | ISBN-10: 3662462133 | 368 pages | pdf | 4.26 mb

by Kurt Marti (Author)

Regularization, Optimization, Kernels, and Support Vector Machines  eBooks & eLearning

Posted by interes at Nov. 5, 2014
Regularization, Optimization, Kernels, and Support Vector Machines

Regularization, Optimization, Kernels, and Support Vector Machines by Johan A.K. Suykens and Marco Signoretto
English | 2014 | ISBN: 1482241390 | 525 pages | PDF | 8 MB

Regularization, Optimization, Kernels, and Support Vector Machines offers a snapshot of the current state of the art of large-scale machine learning, providing a single multidisciplinary source for the latest research and advances in regularization, sparsity, compressed sensing, convex and large-scale optimization, kernel methods, and support vector machines.
"Scale Space and Variational Methods in Computer Vision" ed. by Xue-Cheng Tai, Knut Morken, Marius Lysaker, Knut-Andreas Lie

"Scale Space and Variational Methods in Computer Vision" ed. by Xue-Cheng Tai, Knut Morken, Marius Lysaker, Knut-Andreas Lie
Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings. Lecture Notes in Computer Science, volume 5567
Springer | 2009 | ISBN: 3642022555 | 882 pages | PDF/djvu | 30/13 MB

The 71 revised full papers presented were carefully reviewed and selected numerous submissions. The papers are organized in topical sections on segmentation and detection; image enhancement and reconstruction; motion analysis, optical flow, registration and tracking; surfaces and shapes; scale space and feature extraction.
Methods and Applications of Singular Perturbations: Boundary Layers and Multiple Timescale Dynamics (Repost)

Methods and Applications of Singular Perturbations: Boundary Layers and Multiple Timescale Dynamics By Ferdinand Verhulst
English | PDF | 2005 | 332 Pages | ISBN : 0387229663 | 2.60 MB

Perturbation theory, one of the most intriguing and essential topics in mathematics, and its applications to the natural and engineering sciences is the main focus of this workbook. In a systematic introductory manner, this unique book deliniates boundary layer theory for ordinary and partial differential equations, multi-timescale phenomena for nonlinear oscillations, diffusion and nonlinear wave equations.
Methods That Matter: Integrating Mixed Methods for More Effective Social Science Research

M. Cameron Hay, "Methods That Matter: Integrating Mixed Methods for More Effective Social Science Research"
English | ISBN: 022632852X, 022632866X | 2016 | 459 pages | PDF | 4 MB