Fr. 126.00

State of the Art in Numerical Analysis

English · Hardback

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Klappentext For this volume, experts in a wide range of fields in numerical analysis provide clear and concise reviews of current work, accessible to non-specialists. Topics include linear algebra, ordinary differential equations, approximation, and optimization, as well as important new applications in numerical tomography and image processing. First presented in 1996 at the State of the Art in Numerical Analysis conference, the papers reflect the rapid progress since the previous conference in 1986. Zusammenfassung A selection of papers presented at the Conference on the State of The Art in Numerical Analysis in York in April 1996. The collection provides a wide ranging review of recent developments in the field. This title is number 63 in the INSTITUTE OF MATHEMATICS AND ITS APPLICATIONS CONFERENCE SERIES. Inhaltsverzeichnis Recent Developments in Dense Numerical Linear Algebra Sparse Numerical Linear Algebra: Direct Methods and Preconditioning Closer to the Solution: Iterative Linear Solvers 150 Years Old and Still Alive: Eigenproblems Geometric Integration Convergence and Stability in the Numerical Approximation of Dynamical Systems Beyond the Classical Theory of Computational Ordinary Differential Equations Numerical Analysis of Volterra Functional and Integral Equations The Numerical Solution of Boundary Integral Equations Aspects of Approximation with Emphasis on the Univariate Case A Review of Methods for Multivariable Interpolation at Scattered Data Points Large Scale Unconstrained Optimization Interior Point Methods for Linear and Nonlinear Programming Methods for Nonlinear Constraints in Optimization Calculations Stabilization Techniques and Subgrid Scales Capturing Approximation of Curvature Dependent Interface Motion Finite Element Methods for Hyperbolic Problems: a Posteriori Error Analysis and Adaptivity Approximation of Multidimensional Hyperbolic Partial Differential Equations Algorithms in Tomography Partial Differential Equations and Image Iterative Filtering ...

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