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  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.

CreativeMarket - 60 Textured Gradient Collection  Graphics

Posted by angus77 at May 20, 2017
CreativeMarket - 60 Textured Gradient Collection

CreativeMarket - 60 Textured Gradient Collection
JPG | 711 MB
The Descent Map from Automorphic Representations of Gl(n) to Classical Groups (repost)

The Descent Map from Automorphic Representations of Gl(n) to Classical Groups by David Ginzburg, Stephen Rallis and David Soudry
English | 2011 | ISBN-10: 9814304980 | PDF | 352 pages | 4,4 MB

Philip Glass - A Descent into the Maelstrom (2002)  Music

Posted by Designol at May 15, 2017
Philip Glass - A Descent into the Maelstrom (2002)

Philip Glass - A Descent into the Maelström (2002)
The Philip Glass Ensemble; Michael Riesman, musical director

EAC | FLAC | Tracks (Cue&Log) ~ 383 Mb | Mp3 (CBR320) ~ 152 Mb | Scans included
Minimalism, Modern Ballet | Label: Orange Mountain Music | # OMM 0005 | 01:05:09

In 1986 Mr. Glass was commissioned to create and bring a piece to the Adelaide Festival of Arts in Adelaide, Australia. He chose to write a piece based on the Edgar Allan Poe short story "A Descent into the Maelström" and invited collaborators dancer/choreographer Molissa Fenley, set designer Eamon D’Arcy and theatre director Mathew McGuire to participate. They transformed Edgar Allan Poe's vertiginous short story of being swept into a huge and terrible whirlpool by a raging hurricane that "the oldest seaman in Norway never experienced" into a Musical/Dance/Theatre extravganza. This compelling, propulsive piece of music premiered in March, 1986 at the Adelaide Festival of Arts and was only performed by the Philip Glass Ensemble during the week of the festival in Australia. Consequently, it has had very little exposure to Philip Glass' audience. This little known recording of this powerful piece of classic Glass music was made when the Philip Glass Ensemble was at one of its peaks. It was also done in possibly one of the best settings for Philip Glass and his musicians– musical theatre.