Table of contents:
Interpolation of Functions. Quadratures. Systems of Algebraic
Equations. The Method of Finite Differences for the Numerical
Solution of Differential Equations. The Methods of Boundary
Equations for the Numerical Solution of Boundary Value Problems.
References. Index.
Illustrated by sampling numerical methods from mathematical
analysis, linear algebra, and differential equations, A Theoretical
Introduction to Numerical Analysis presents the general methodology
and principles of numerical analysis. The book emphasizes
fundamentals and links between sub-disciplines. It provides
coverage of topics such as Lebesgue constants, Chebyshev
polynomials, stability on initial boundary value problems,
interpolation in two variables, and splines.. Carefully structured
for learning at different levels of depth, this text is organized
so that chapters can be read independently, allowing instructors to
tailor the course to students' needs, with enough material for
three semester long courses.
Illustrated by sampling numerical methods from mathematical
analysis, linear algebra, and differential equations, A Theoretical
Introduction to Numerical Analysis presents the general methodology
and principles of numerical analysis. The book emphasizes
fundamentals and links between sub-disciplines. It provides
coverage of topics such as Lebesgue constants, Chebyshev
polynomials, stability on initial boundary value problems,
interpolation in two variables, and splines.. Carefully structured
for learning at different levels of depth, this text is organized
so that chapters can be read independently, allowing instructors to
tailor the course to students' needs, with enough material for
three semester long courses.
Keldysh Institute for Applied Math, Moscow, Russia Moscow 125047 North Carolina State University, Raleigh, NC, USA RALEIGH Keldysh Institute for Applied Math, Moscow, Russia Moscow 125047 North Carolina State University, Raleigh, NC, USA RALEIGH
Inhaltsangabe
PREFACE ACKNOWLEDGMENTS INTRODUCTION Discretization Conditioning Error On Methods of Computation INTERPOLATION OF FUNCTIONS. QUADRATURES ALGEBRAIC INTERPOLATION Existence and Uniqueness of Interpolating Polynomial Classical Piecewise Polynomial Interpolation Smooth Piecewise Polynomial Interpolation (Splines) Interpolation of Functions of Two Variables TRIGONOMETRIC INTERPOLATION Interpolation of Periodic Functions Interpolation of Functions on an Interval. Relation between Algebraic and Trigonometric Interpolation COMPUTATION OF DEFINITE INTEGRALS. QUADRATURES Trapezoidal Rule, Simpson's Formula, and the Like Quadrature Formulae with No Saturation. Gaussian Quadratures Improper Integrals. Combination of Numerical and Analytical Methods Multiple Integrals SYSTEMS OF SCALAR EQUATIONS SYSTEMS OF LINEAR ALGEBRAIC EQUATIONS: DIRECT METHODS Different Forms of Consistent Linear Systems Linear Spaces, Norms, and Operators Conditioning of Linear Systems Gaussian Elimination and Its Tri-Diagonal Version Minimization of Quadratic Functions and Its Relation to Linear Systems The Method of Conjugate Gradients Finite Fourier Series ITERATIVE METHODS FOR SOLVING LINEAR SYSTEMS Richardson Iterations and the Like Chebyshev Iterations and Conjugate Gradients Krylov Subspace Iterations Multigrid Iterations OVERDETERMINED LINEAR SYSTEMS. THE METHOD OF LEAST SQUARES Examples of Problems that Result in Overdetermined Systems Weak Solutions of Full Rank Systems. QR Factorization Rank Deficient Systems. Singular Value Decomposition NUMERICAL SOLUTION OF NONLINEAR EQUATIONS AND SYSTEMS Commonly Used Methods of Rootfinding Fixed Point Iterations Newton's Method THE METHOD OF FINITE DIFFERENCES FOR THE NUMERICAL SOLUTION OF DIFFERENTIAL EQUATIONS NUMERCAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS Examples of Finite-Difference Schemes. Convergence Approximation of Continuous Problem by a Difference Scheme. Consistency Stability of Finite-Difference Schemes The Runge-Kutta Methods Solution of Boundary Value Problems Saturation of Finite-Difference Methods The Notion of Spectral Methods FINITE-DIFFERENCE SCHEMES FOR PARTIAL DIFFERENTIAL EQUATIONS Key Definitions and Illustrating Examples Construction of Consistent Difference Schemes Spectral Stability Criterion for Finite-Difference Cauchy Problems Stability for Problems with Variable Coefficients Stability for Initial Boundary Value Problems Explicit and Implicit Schemes for the Heat Equation DISCONTINUOUS SOLUTIONS AND METHODS OF THEIR COMPUTATION Differential Form of an Integral Conservation Law Construction of Difference Schemes DISCRETE METHODS FOR ELLIPTIC PROBLEMS A Simple Finite-Difference Scheme. The Maximum Principle The Notion of Finite Elements. Ritz and Galerkin Approximations THE METHODS OF BOUNDARY EQUATIONS FOR THE NUMERICAL SOLUTION OF BOUNDARY VALUE PROBLEMS BOUNDARY INTEGRAL EQUATIONS AND THE METHOD OF BOUNDARY ELEMENTS Reduction of Boundary Value Problems to Integral Equations Discretization of Integral Equations and Boundary Elements The Range of Applicability for Boundary Elements BOUNDARY EQUATIONS WITH PROJECTIONS AND THE METHOD OF DIFFERENCE POTENTIALS Formulation of Model Problems Difference Potentials Solution of Model Problems LIST OF FIGURES REFERENCED BOOKS REFERENCED JOURNAL ARTICLES INDEX
