Copyright date: Berlin; Springer, c Description: xviii, pages: illustrations; 25 cm. ISBN: ; Tags from this library: No tags from this library for this title. Log in to add tags. Total holds: 0. Log in to your account to post a comment.
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Mathematical Analysis Problems Natural Sciences by Vladimir Zorich - AbeBooks
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Mathematical Analysis of Problems in the Natural Sciences.
The utilized techniques to solve the associated typically highly ill-posed inverse problems range from applied harmonic analysis and sparse regularization over partial differential equations and variational methods to probabilistic and statistical methodologies. Numerical simulation of turbulent flows John , Klein remains one of the major challenges of scientific computing. Last but not least, scientific computing on campus strongly benefits from close cooperation with groups working in geometry processing Polthier and visual computing Hege They help to cover pre- and post-processing image processing, incl.
The two Basic Courses provide a rigorous introduction to the most important strategies and concepts of modern numerical mathematics, and are independent of each other. The first course focuses mainly on numerical methods for ordinary differential equations, but also on deepening knowledge in numerical linear algebra, especially regarding iterative methods for large systems. The second semester gives an introduction to partial differential equations from fundamental theory to modern numerical concepts. Prerequisites: Non-linear systems of equations, best approximation, linear regression, hermite interpolation, numerical quadrature and initial value problems for ODEs.