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数值分析

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Overview

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通过学习该课程,学生将了解各种数值方法的构建过程,掌握其设计原理、能够编程实现并判断其效率和准确性,能够应用于个人研究领域中的相关科学与工程计算问题。




Syllabus

  • Course Introduction
    • 0-1 Introductory example
    • 0-2 Round-off Errors and Computer Arithmetics
    • 0-3 Applications and Course Organization
  • Chapter 01 Approximation of Data
    • 1-1 Introduction
    • 1-2 Discrete Least Squares Approximation
    • 1-3 Model Selection and Linearization
  • Chapter 02 Interpolation of Data
    • 2-1 Introduction
    • 2-2 Newton’s Divided Differences
    • 2-3 Lagrange Polynomials
    • 2-4 Piecewise Interpolation and Cubic Splines Interpolation
    • 2-5 Osculating Polynomials and Hermite Interpolations
  • Chapter 03 Numerical Solution of Nonlinear Equations
    • 3-1 Introduction
    • 3-2 Bisection Method
    • 3-3 Newton’s Method and Fixed Point Iteration
    • 3-4 Muller’s Method
  • Chapter 04 Numerical Solution of Nonlinear Equation Systems
    • 4-1 Introduction
    • 4-2 Newton’s Method
    • 4-3 Quasi Newton’s Method
    • 4-4 Steepest Descent Technique
    • 4-5 A Comprehensive Project
  • Chapter 05 Numerical Integration
    • 5-1 Introduction
    • 5-2 Newton-Cotes Formulae
    • 5-3 Composite Quadratures
    • 5-4 Gaussian Quadratures
    • 5-5 Improper Integrals
  • Chapter 06 Numerical Methods for Initial Value Problems
    • 6-1 Introduction
    • 6-2 Euler’s Method
    • 6-3 Taylor’s Method of Higher Order
    • 6-4 Runge-Kutta Methods
    • 6-5 Multistep Methods
    • 6-6 Stiff Equations
  • Chapter 07 Numerical Differentiation
    • 7-1 Numerical Differentiation Formulae
    • 7-2 Application to the Solution of Boundary Value Problems
    • 7-3 Stability and Optimal Step Sizes
    • 7-4 Application to the Solution of Partial Differential Equations
    • 7-5 Comments on Non-Uniform Meshes
  • Chapter 08 Direct Methods for Linear Equation Systems
    • 8-1 Gaussian Elimination
    • 8-2 Operations Count
    • 8-3 LU Factorization
    • 8-4 PLU Factorization
    • 8-5 Factorization of Special Matrices
  • Chapter 09 Iterative Methods for Linear Equation Systems
    • 9-1 Iterative Techniques
    • 9-2 Convergence and SOR Methods
    • 9-3 Error Bound and Iterative Refinement
  • Chapter 10 Approximating Eigenvalues
    • 10-1 Introduction
    • 10-2 Power Method
    • 10-3 Inverse Power Method
  • Final Exam

    Taught by

    China University of Petroleum,Beijing

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