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Module Guide

  • Overview
  • Schedule
  • Further Reading List

Prerequisite

  • Symbols and Notation
  • Formulas and Theorems
  • Differentiation Rules
  • Table of Integrals
  • Laplace Transform

Lectures

  • 1. Introduction to Differential Equations
    • 1.1. Definitions, Classification and Terminology
    • 1.2. Ordinary Differential Equations
    • 1.3. Analytical Methods for ODEs
    • 1.4. Applications of ODEs
    • 1.5. Chapter 1 Exercises
  • 2. Complex Numbers and Difference Equations
    • 2.1. Complex Numbers
    • 2.2. Sequences
    • 2.3. Difference Equations
    • 2.4. Homogeneous Linear Difference Equations with Constant Coefficients
    • 2.5. Chapter 2 Exercises
  • 3. Gregory-Newton Interpolating Polynomial
    • 3.1. Introduction
    • 3.2. Finite Difference Operators
    • 3.3. Gregory-Newton Interpolation Formulae
    • 3.4. Finite Difference Tables
    • 3.5. Chapter 3 Exercises
  • 4. Multistep Methods: Derivation through Integration
    • 4.1. Multistep Methods
    • 4.2. Derivation of Multistep Methods by Numerical Integration
    • 4.3. Explicit Multistep Methods
    • 4.4. Implicit Multistep Methods
    • 4.5. Predictor-Corrector Methods
    • 4.6. Computer Programs
    • 4.7. Chapter 4 Exercises
  • 5. Multistep Methods: Accuracy and Error Constants
    • 5.1. Derivation of Local Error Terms for Integration Formulae
    • 5.2. Order of Accuracy and Error Constants
    • 5.3. Local Truncation Errors of Predictor-Corrector methods – Milne’s Device
    • 5.4. Chapter 5 Exercises
  • 6. Multistep Methods: Zero-Stability and Convergence
    • 6.1. An exploratory experiment
    • 6.2. Characteristic Polynomials and Root Condition
    • 6.3. Zero-Stability, Consistency and Convergence Theorem
    • 6.4. Chapter 6 Exercise
  • 7. Multistep Methods: Stability Interval and Region
    • 7.1. An experiment
    • 7.2. Interval and Region of Absolute Stability
    • 7.3. The Root Locus Method for Finding the Interval of Absolute Stability
    • 7.4. The Boundary Root Locus Method for Finding Regions of Absolute Stability
    • 7.5. Example MATLAB Programs
    • 7.6. Chapter 7 Exercises
  • 8. Stiff Differential Equations
    • 8.1. Introduction and background
    • 8.2. Stiff Systems of Differential Equations
    • 8.3. Methods for Stiff Equations
    • 8.4. MATLAB Program 4
    • 8.5. Chapter 8 Exercise
  • 9. Sparse Matrices
    • 9.1. Introduction
    • 9.2. Sparse Matrices
    • 9.3. Matrix Sparsity and Graph Theory
    • 9.4. Sparse Matrices Storage and Reordering
    • 9.5. Reordering and Matrix Bandwidth
    • 9.6. Chapter 9 Exercises
    • 9.7. Answers to Chapter 9 Exercises

Appendix

  • Index
  • ODE Solvers in Matlab
  • ODE Solvers in Scipy
  • .md

Linear Multistep Methods

Linear Multistep Methods#

Module Guide

  • Overview
  • Schedule
  • Further Reading List

Prerequisite

  • Symbols and Notation
  • Formulas and Theorems
  • Differentiation Rules
  • Table of Integrals
  • Laplace Transform

Lectures

  • 1. Introduction to Differential Equations
  • 2. Complex Numbers and Difference Equations
  • 3. Gregory-Newton Interpolating Polynomial
  • 4. Multistep Methods: Derivation through Integration
  • 5. Multistep Methods: Accuracy and Error Constants
  • 6. Multistep Methods: Zero-Stability and Convergence
  • 7. Multistep Methods: Stability Interval and Region
  • 8. Stiff Differential Equations
  • 9. Sparse Matrices

Appendix

  • Index
  • ODE Solvers in Matlab
  • ODE Solvers in Scipy

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Overview

By Dr Zhihua Ma

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Last updated on Tuesday 03 November 2026 16:52:19.