Hilbert Space Methods in Science And Engineering

Hilbert Space Methods in Probability and Statistical Inference (repost)  eBooks & eLearning

Posted by fdts at Dec. 9, 2016
Hilbert Space Methods in Probability and Statistical Inference (repost)

Hilbert Space Methods in Probability and Statistical Inference
by Christopher G. Small
English | 1994 | ISBN: 0471592811 | 270 pages | PDF | 2.82 MB

Domain Decomposition Methods in Science and Engineering XXII  eBooks & eLearning

Posted by roxul at March 20, 2016
Domain Decomposition Methods in Science and Engineering XXII

Thomas Dickopf and Martin J. Gander, "Domain Decomposition Methods in Science and Engineering XXII"
English | ISBN: 3319188267 | 2016 | 678 pages | PDF | 16 MB
Advanced Mathematical Methods in Science and Engineering, Second Edition (repost)

Advanced Mathematical Methods in Science and Engineering, Second Edition by S.I. Hayek
English | 30 Jun. 2010 | ISBN: 1420081977 | 872 Pages | PDF | 40 MB

Classroom-tested, Advanced Mathematical Methods in Science and Engineering, Second Edition presents methods of applied mathematics that are particularly suited to address physical problems in science and engineering. Numerous examples illustrate the various methods of solution and answers to the end-of-chapter problems are included at the back of the book.

Integral Methods in Science and Engineering  

Posted by Underaglassmoon at Oct. 31, 2015
Integral Methods in Science and Engineering

Integral Methods in Science and Engineering: Theoretical and Computational Advances
Birkhäuser | Mathematics | November 14, 2015 | ISBN-10: 331916726X | 717 pages | pdf | 16.06 mb

by Christian Constanda (Editor), Andreas Kirsch (Editor)
Collection of up-to-date reports on state-of-the-art developments in the field of integral methods
Chapters written by a diverse group of well-established scientists
Useful for an interdisciplinary audience of graduate students, researchers, and professionals across mathematics and the sciences
Integral Methods in Science and Engineering: Computational and Analytic Aspects (repost)

Integral Methods in Science and Engineering: Computational and Analytic Aspects by Christian Constanda and Paul J. Harris
English | 2011 | ISBN: 0817682376 | 448 pages | PDF | 5,7 MB
Integral Methods in Science and Engineering: Theoretical and Practical Aspects

M. Zuhair Nashed, D. Rollins, "Integral Methods in Science and Engineering: Theoretical and Practical Aspects"
2006 | pages: 310 | ISBN: 081764377X | PDF | 2,6 mb
Advanced Mathematical Methods in Science and Engineering, Second Edition

S.I. Hayek, "Advanced Mathematical Methods in Science and Engineering, Second Edition"
2010 | ISBN-10: 1420081977 | 866 pages | PDF | 40 MB
Integral Methods in Science and Engineering: Progress in Numerical and Analytic Techniques (Repost)

Christian Constanda, Bardo E.J. Bodmann, "Integral Methods in Science and Engineering: Progress in Numerical and Analytic Techniques"
2013 | pages: 409 | ISBN: 1461478278 | PDF | 6,9 mb

Multiscale Methods in Science and Engineering  

Posted by DZ123 at Feb. 14, 2015
Multiscale Methods in Science and Engineering

Björn Engquist, Per Lötstedt, Olof Runborg, "Multiscale Methods in Science and Engineering"
English | 2005 | ISBN: 3540253351 | PDF | pages: 186 | 4,8 mb

Domain Decomposition Methods in Science and Engineering XXI  eBooks & eLearning

Posted by andr1078 at Dec. 3, 2014
Domain Decomposition Methods in Science and Engineering XXI

Jocelyne Erhel, Martin J. Gander, Laurence Halpern, Géraldine Pichot, Taoufik Sassi, Olof B Widlund "Domain Decomposition Methods in Science and Engineering XXI"
Publisher: Springer | English | 2014 | ISBN:331905788X | 973 pages | PDF | 17.8 MB

This volume contains a selection of papers presented at the 21st international conference on domain decomposition methods in science and engineering held in Rennes, France, June 25-29, 2012. Domain decomposition is an active and interdisciplinary research discipline, focusing on the development, analysis and implementation of numerical methods for massively parallel computers. Domain decomposition methods are among the most efficient solvers for large scale applications in science and engineering. They are based on a solid theoretical foundation and shown to be scalable for many important applications. Domain decomposition techniques can also naturally take into account multiscale phenomena.