Numerical Methods - PowerPoint PPT Presentation

1 / 14
About This Presentation
Title:

Numerical Methods

Description:

Numerical Methods Chapter 5.2: Taylor Methods Introduction Differential equations - used to model problems involving a change of some variable with respect to another. – PowerPoint PPT presentation

Number of Views:85
Avg rating:3.0/5.0
Slides: 15
Provided by: Annet187
Category:

less

Transcript and Presenter's Notes

Title: Numerical Methods


1
Numerical Methods
  • Chapter 5.2 Taylor Methods

2
Introduction
  • Differential equations - used to model problems
    involving a change of some variable with respect
    to another.
  • Problems require solution to an initial-value
    problem (i.e. Diff Eq that satisfies a given
    initial condition)
  • Diff Eq often too complicated to solve exactly,
    so 1 of 2 approaches taken to approximate
    solutions
  • Simplify the differential equation to one that
    can be solved exactly and use solution of
    simplified equation to approximate the original
  • Find methods for directly approximating the
    solution of the original problem. (common
    approach)
  • More accurate results
  • Realistic error information can be obtained

3
Introduction
  • Methods considered in this chapter do not produce
    continuous approximations to solution of the
    initial-value problem.
  • Approximations found at certain specified (often
    equally spaced) points.
  • Some method of interpolation (often Hermite) used
    if intermediate values are required.

4
Introduction
  • Begin by considering approximation of solution
    y(t) to problem of form dy/dt f(t,y), for a lt
    t lt b subject to initial condition y(a) a
  • Later, extend the methods to a system of
    first-order differential equations in the form
  • dy1 /dt f1(t, y1, y2,, yn)
  • dy2 /dt f2(t, y1, y2,, yn)
  • dyn /dt fn(t, y1, y2,, yn)
  • For a lt t lt b subject to initial conditions
  • y1(a) a1, y2(a) a2 , ... , yn(a)
    an

5
Introduction
  • Also examine relationship of a system of the type
    described on the previous slide to the general
    nth-order initial value problem of the form
  • y(n) f(t, y, y, y,, y (n-1) )
  • For a lt t lt b subject to the multiple initial
    conditions
  • y(a) a0, y(a) a1 , ... , y (n-1)
    (a) an-1
  • Well-Posed Condition Suppose that f and fy ,
    its first partial derivative with respect to y,
    are continuous for t in a,b and for all y. Then
    the initial-value problem
  • y f(t,y), for a lt t lt b with y(a) a, has
    a unique solution y(t) for a lt t lt b, and the
    problem is well-posed

6
Taylor Methods - Motivation
  • Function we need to expand in a Taylor polynomial
    is the unknown solution to the problem y(t).
  • In its most elementary form this leads to Eulers
    Method
  • Seldom used in practice
  • Simplicity of derivation illustrative of
    technique used for more advanced procedures

7
Eulers Method -objective
8
Eulers Method -objective
9
Eulers Method
10
Eulers Method - Example
11
Eulers Method Error Bound
12
Eulers Method Error Bound Example
13
Taylors Method of order n
14
Taylors Method of order n
Write a Comment
User Comments (0)
About PowerShow.com