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Examples Of Differntial Equations-Numerical Analysis-Lecture Slides, Slides of Mathematical Methods for Numerical Analysis and Optimization

This course contains solution of non linear equations and linear system of equations, approximation of eigen values, interpolation and polynomial approximation, numerical differentiation, integration, numerical solution of ordinary differential equations. This lecture includes: Differential, Equations, Initial, Condition, Recurrence, Relation, Euler, Remainder, Term, Algorithm

Typology: Slides

2011/2012

Uploaded on 08/05/2012

saruy
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Download Examples Of Differntial Equations-Numerical Analysis-Lecture Slides and more Slides Mathematical Methods for Numerical Analysis and Optimization in PDF only on Docsity!

Examples ofExamples ofDifferentialDifferentialEquationsEquations

We considered thedifferential equation of firstorder with the initialcondition

y ( t^0

) =^ y

. (^0) ( , )

dy

f t y dt^

We obtained the solutionof the given differentialequation in the form of arecurrence relation

1

(^ ,

m^

m^

m^

m

y^

y^

hf t

y

Euler’s algorithmLet us try to approximate thesolution of the given IVP at(N+1) equally spaced numbersin the interval [a ,b]

( ,^

), ,

( )

y^

f t y a^

t^ b

y a

  ^

^

INPUT

endpoints a, b; integer

N, initial condition (alpha) OUTPUT

approximate w to y

at the (N+1) values of t

Step 3 Set^ w = w + h f (t , w); (compute w

).i

t = a + i h (compute t

)i

Step 4

OUTPUT

(t , w)

Step 5

STOP

ExampleUse Euler’s method toapproximate the solution ofIVP^ y’= y - t

,^ 0 < t < 2,
y ( 0 ) = 0.5 with N = 10.

Recall

Runge-Kutta(Order Four)METHOD

The fourth-order R-Kmethod was described as^1

1

2

3 4

1 (^

2

2

)

6 n^

n y^

y^

k^

k^

k^ k

^ 

^

^

^