Computational Modeling and Mathematics Applied to the Physical Sciences
Publisher: National Academy Press 1984
Number of pages: 108
As illustration, we examine several deep theoretical problems, including turbulence and combustion. At the frontiers of attack on these problems we discover the limitations imposed by our current understanding of model formulation and computational capability. We examine modeling problems and algorithms adapted both to specific features of the desired solution and to the computer architecture. We also examine computer architecture and component design and manufacture as a mathematical modeling problem.
Home page url
Download or read it online for free here:
by Andrew Fowler - University of Oxford
This course develops mathematical techniques which are useful in solving 'real-world' problems involving differential equations. The course embraces the ethos of mathematical modelling, and aims to show in a practical way how equations 'work'.
by Albert Tarantola - SIAM
The first part deals with discrete inverse problems with a finite number of parameters, while the second part deals with general inverse problems. The book for scientists and applied mathematicians facing the interpretation of experimental data.
by Gunther Uhlmann (ed.) - Cambridge University Press
The book describes recent developments in inverse problems and imaging, including hybrid or couple-physics methods arising in medical imaging, Calderon's problem and electrical impedance tomography, inverse problems arising in global seismology, etc.
by National Research Council - National Academies Press
This book documents the key research challenges in mathematics and physics that could enable the economical development of novel biomedical imaging devices. It introduces the frontiers of biomedical imaging to the educated nonspecialist.