Posted by **Specialselection** at Feb. 15, 2014

English | 2011-03-21 | ISBN: 0521141028 | 250 pages | PDF | 1.8 mb

Posted by **fdts** at Sept. 22, 2013

by K. F. Riley, M. P. Hobson

English | 2011 | ISBN: 052176114X | 846 pages | PDF | 6.34 MB

Posted by **ChrisRedfield** at Aug. 9, 2017

Published: 2007-06-27 | ISBN: 3540710302, 3642090087 | PDF | 530 pages | 12.81 MB

Posted by **libr** at July 23, 2017

English | April 30, 1990 | ISBN-10: 9027722447 | 692 pages | PDF | 8,6 MB

Posted by **AvaxGenius** at July 21, 2017

English | PDF | 2008 | 304 Pages | ISBN : 3540756310 | 5.56 MB

The aim of this volume is to bring together research directions in theoretical signal and imaging processing developed rather independently in electrical engineering, theoretical physics, mathematics and the computer sciences.

Posted by **AvaxGenius** at June 27, 2017

English | PDF | 2017 | 283 Pages | ISBN : 3319587315 | 8 MB

This book is designed to make accessible to nonspecialists the still evolving concepts of quantum mechanics and the terminology in which these are expressed. The opening chapters summarize elementary concepts of twentieth century quantum mechanics and describe the mathematical methods employed in the field, with clear explanation of, for example, Hilbert space, complex variables, complex vector spaces and Dirac notation, and the Heisenberg uncertainty principle. After detailed discussion of the Schrödinger equation, subsequent chapters focus on isotropic vectors, used to construct spinors, and on conceptual problems associated with measurement, superposition, and decoherence in quantum systems.

Posted by **hill0** at June 21, 2017

English | 13 Jun. 2015 | ISBN: 1493907913 | 2178 Pages | PDF | 47.85 MB

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling),

Posted by **AvaxGenius** at June 13, 2017

English | PDF | 2017 | 148 Pages | ISBN : 9811036705 | 3 MB

The purpose of this monograph is to describe recent developments in mathematical modeling and mathematical analysis of certain problems arising from cell biology. Cancer cells and their growth via several stages are of particular interest. To describe these events, multi-scale models are applied, involving continuously distributed environment variables and several components related to particles. Hybrid simulations are also carried out, using discretization of environment variables and the Monte Carlo method for the principal particle variables. Rigorous mathematical foundations are the bases of these tools.

Posted by **AvaxGenius** at June 5, 2017

English | PDF (Repost), EPUB | 2015 | 2176 Pages | ISBN : 1493907891 | 82 MB

The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous.

Posted by **roxul** at June 4, 2017

2009 | ISBN-10: 0521834929, 0521542618 | 524 pages | PDF | 4,2 MB