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| David Kincaid是得克萨斯大学奥斯汀分校计算机科学系及数学系的高级讲师,他还是得克萨斯计算及应用 数学学会数值分析中心的代主任。 Ward Cheney是得克萨斯大学奥斯汀分校数学系教授,他的研究方向主要是逼近理论、数值分析和极大化问题。 .. << 查看详细 |
| 1 mathematical preliminaries 1.0 introduction 1.1 basic concepts and taylor's theorem 1.2 orders of convergence and additional basic concepts 1.3 difference equations 2 computer arithmetic 2.0 introduaion 2.1 floating-point numbers and roundoff errors 2.2 absolute and relative errors: loss of significance 2.3 stable and unstable computations: conditioning 3 solution of nonlinear equations 3.0 introduction 3.1 bisection (interval halving method 3.2 newton's method 3.3 secant method 3.4 fixed points. and functional iteration 3.5 computing roots of polynomials 3.6 homotopy and continuation methods 4 solving systems of linear equations 4.0 introduction .4.1 matrix algebra 4.2 lu and cholesky factorizations 4.3 pivoting and constructing an algorithm 4.4 norms and the analysis of errors 4.5 neumann series and iterative refinement 4.6 solution of equations by iterative methods 4.7 steepest descent and conjugate gradient methods 4.8 analysis of roundoff error in the gaussian algorithm 5 selected topics in numerical linear algebra 5.0 review of basic concepts 5.1 matrix eigenvalue problem: power method 5.2 schur's and cershgorin's theorems 5.3 orthogonal factorizations and least-squares problems 5.4 singular-value decomposition and pseudoinverses 5.5 qr-algorithm of francis for the eigenvalue problem 6 approximating functions 6.0 introduction 6.1 polynomial interpolation 6.2 divided differences 6.3 hermite interpolation 6.4 spline interpolation 6.5 b-splines: basic theory 6.6 b-splines: applications 6.7 taylor series 6.8 best approximation: least-squares theory 6.9 best approximation: chebyshev theory 6.1o interpolatlon in higher dimensions 6.11 continued fractions 6.12 trigonometric interpolation 6.13 fast fourier transform 6.14 adaptive approximation 7 numerical differentiation and 7.1 numerical differentiation and 7.2 numerical integration based on 7.3 gaussian quadrature 7.4 romberg integration 7.5 adaptive quadrature 7.6 sard's theory of approximating functionals 7.7 bernoulli polynomials and the euler-maclaurin formula 8 numeriral solution ot ordinary differential equations 8.0 introduction 8.1 the existence and uniqueness of solutions 8.2 taylor-series method 8.3 runge-kutta methods 8.4 multistep methods 8.5 local and global errors: stability 8.6 systems and higher-order ordinary differential equations 8.7 boundary-value problems 8.8 boundary-value problems: shooting methods 8.9 boundary-value problems: finite-differences 8.1 0 boundary-value problems: collocation 8.1 1 linear differential equations 8.1 2 stiff equations 9 numetical selution of partial differential equations 9.0 introduction 9.1 parabolic equations: explicit methods 9.2 parabolic equations: implicit methods 9.3 problems without without time dependence: finite-differences 9.4 problems without without time dependence: galerkin methods 9.5 first-order partial differential equations: characteristics 9.6 quasilinear second-order equations: characteristics 9.7 other methods for hyperbolic problems 9.8 multigrid method 9.9 fast methods for poisson's equation 10 linear programming and related topics 10.1 convexity and linear inequalities 10.2 linear inequalities 10.3 linear programming 10.4 the simplex algorithm 11 oytimization 11.0 introdudion 11.1 one-variable case 11.2 descent methods 11.3 analysis of quadratic objective functions 11.4 quadratic-fitting algorithms 11.5 nelder-meade algorithm 11.6 simulated annealing 11.7 cenetic algorithms 11.8 convex programming 11.9 constrained minimization 11.10 pareto optimization appendix a an overview of mathematical software bibliography index |
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