Optimization in Solving Elliptic Problems
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A01=Eugene G. D'yakonov
advanced elliptic equation solutions
Apply Model Operators
Author_Eugene G. D'yakonov
Barycentric Coordinates
boundary value problems
Category=PBW
computational grid generation
Conformal Mappings
Domain Decomposition Methods
Double Slit
eigenvalue computation
Elementary Simplexes
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Eugene G. D'Yakonov
finite element analysis
Grid Generation
Hilbert Space
iterative numerical methods
Lipschitz Boundary
Matrix Vector Products
multigrid algorithms
Nonorthogonal Coordinate Systems
Optimal Model Operator
Piecewise Smooth Boundary
Piecewise Smooth Curve
Polygonal Quadrilateral
Quasiconformal Mappings
Regular Triangulation
Space Rot
Spline Space
Steve Mccormick
Straight Line Segment
Topologically Equivalent
Product details
- ISBN 9781315896113
- Weight: 1250g
- Dimensions: 156 x 234mm
- Publication Date: 13 Dec 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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Optimization in Solving Elliptic Problems focuses on one of the most interesting and challenging problems of computational mathematics - the optimization of numerical algorithms for solving elliptic problems. It presents detailed discussions of how asymptotically optimal algorithms may be applied to elliptic problems to obtain numerical solutions meeting certain specified requirements. Beginning with an outline of the fundamental principles of numerical methods, this book describes how to construct special modifications of classical finite element methods such that for the arising grid systems, asymptotically optimal iterative methods can be applied.
Optimization in Solving Elliptic Problems describes the construction of computational algorithms resulting in the required accuracy of a solution and having a pre-determined computational complexity. Construction of asymptotically optimal algorithms is demonstrated for multi-dimensional elliptic boundary value problems under general conditions. In addition, algorithms are developed for eigenvalue problems and Navier-Stokes problems. The development of these algorithms is based on detailed discussions of topics that include accuracy estimates of projective and difference methods, topologically equivalent grids and triangulations, general theorems on convergence of iterative methods, mixed finite element methods for Stokes-type problems, methods of solving fourth-order problems, and methods for solving classical elasticity problems.
Furthermore, the text provides methods for managing basic iterative methods such as domain decomposition and multigrid methods. These methods, clearly developed and explained in the text, may be used to develop algorithms for solving applied elliptic problems. The mathematics necessary to understand the development of such algorithms is provided in the introductory material within the text, and common specifications of algorithms that have been developed for typical problems in mathema
