Posted by **ChrisRedfield** at Dec. 22, 2015

Published: 2012-12-05 | ISBN: 146145476X, 1489996133 | PDF | 438 pages | 7.41 MB

Posted by **step778** at July 23, 2015

Posted by **step778** at June 17, 2015

1996 | pages: 642 | ISBN: 0387942025 | PDF | 5,3 mb

Posted by **step778** at June 9, 2015

2013 | pages: 450 | ISBN: 146145476X | PDF | 7,4 mb

Posted by **ChrisRedfield** at May 17, 2015

Published: 1987-01-01 | ISBN: 0898714443 | PDF + DJVU | 387 pages | 27.07 MB

Posted by **interes** at April 23, 2015

English | 2009 | ISBN: 1606925911 | 337 pages | PDF | 3,1 MB

Posted by **Maroutan** at March 19, 2015

English | 2012 | 309 Pages | ISBN: 1447142845 | PDF | 4.5 MB

Stochastic Recursive Algorithms for Optimization presents algorithms for constrained and unconstrained optimization and for reinforcement learning. Efficient perturbation approaches form a thread unifying all the algorithms considered. Simultaneous perturbation stochastic approximation and smooth fractional estimators for gradient- and Hessian-based methods are presented…

Posted by **mapusi** at Feb. 12, 2015

English | June 15, 1975 | ISBN: 0915760010 | 271 Pages | PDF | 20 MB

Techniques for treating regular and singular perturbations are illustrated by application to problems of fluid motion. In particular, the method of matched asymptotic expansions is applied to the aerodynamics of airfoils and wings, and to viscous flow at high and low Reynolds numbers.

Posted by **DZ123** at Oct. 21, 2014

English | 2000 | ISBN: 0471399175 | PDF | pages: 441 | 14,2 mb

Posted by **tukotikko** at Oct. 10, 2014

2013 | 309 Pages | ISBN: 1447142845 | PDF | 5 MB