Posted by **Underaglassmoon** at Nov. 29, 2015

BirkhĂ¤user | Mathematics | December 28, 2015 | ISBN-10: 3319262653 | 390 pages | pdf | 2.87 mb

by Ivan G. Avramidi (Author)

Although this book is intended for advanced undergraduate or beginning graduate students, it should also provide a useful reference for professional physicists, applied mathematicians as well as quantitative analysts with an interest in partial differential equations, mathematical physics, differential geometry, singular perturbations and mathematical finance

Posted by **ChrisRedfield** at Nov. 3, 2014

Published: 2012-03-05 | ISBN: 1420088386 | PDF | 326 pages | 14 MB

Posted by **interes** at Nov. 2, 2014

English | 2013 | ISBN: 9814508292 | 420 pages | PDF | 4,3 MB

Lattice Boltzmann method (LBM) is a relatively new simulation technique for the modeling of complex fluid systems and has attracted interest from researchers in computational physics. Unlike the traditional CFD methods, which solve the conservation equations of macroscopic properties (i.e., mass, momentum, and energy) numerically, LBM models the fluid consisting of fictive particles, and such particles perform consecutive propagation and collision processes over a discrete lattice mesh.

Posted by **fdts** at Jan. 10, 2017

by Paul Turan

English | 1984 | ISBN: 0471892556 | 600 pages | PDF | 9.12 MB

Posted by **arundhati** at Jan. 10, 2017

English | ISBN: 3662491680 | 2016 | 392 pages | PDF | 4 MB

Posted by **hill0** at Dec. 22, 2016

English | 16 Dec. 2016 | ISBN: 981100157X | 88 Pages | PDF | 1.87 MB

This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.

Posted by **nebulae** at Nov. 24, 2016

English | ISBN: 3662491680 | 2016 | 392 pages | PDF | 4 MB

Posted by **rotten comics** at Oct. 23, 2016

2011 | ISBN: 144197864X | English | 609 pages | PDF | 6.8 MB

Posted by **step778** at Aug. 30, 2016

1996 | pages: 479 | ISBN: 1461380634 | DJVU | 9,3 mb

Posted by **exLib** at July 30, 2016

ITexLi | 2016 | ISBN: 9535124943 9535124935 9789535124948 9789535124931 | 146 pages | PDF | 17 MB

This volume is dedicated to the type of modeling that is particularly helpful when parametric models, due to various reasons, cannot be constructed. Based on different methodologies and approaches, empirical modeling allows the analyst to obtain an initial understanding of the relationships that exist among the different variables that belong to a particular system or process.