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What is Numerical Methods ?
Numerical Methods is an approach for
solving mathematical problems using
simple arithmetic operations.
It involves the formulation of model
of physical situations that can be
solved by arithmetical operations.
Need of Numerical methods
Mathematical models are a central piece
of science and engineering.
Some models have closed – form solutions,
therefore they can be solved analytically.
Many models cannot be solved analytically
or the analytical solution is too costly to be
practical.
All models can be solved computionally
and the result may not be the exact answer
but it can be uesful.
Steps involved to solve
Formulation of Mathematical modelling
Construction of an appropriate numerical method
Implementation of the numerical method
Obtain the solution by solving
Validation of the solution
FORMULAS
Newton – Raphson Method
)(
)(
1
n
n
nn
xf
xf
xx


n
nnnn
n
n
n
n
n
y
xxxxxx
xxxxxx
y
xxxxxx
xxxxxx
y
xxxxxx
xxxxxx
xf
)..(..........)()(
),.(,,.,..........)()(
.......
.......
......
)..(..........)()(
),.(,,.,..........)()(
)..(..........)()(
),.(,,.,..........)()(
)(
110
110
1
12101
20
0
02010
21











Lagrange’s Interpolation Method
Trapezoidal Rule
  termsremainingtheofsumvalueLastvalueFirst
h
I 2
2

Simpson’s 1/3 Rule
  tremsoddtheofsumtermseventheofsumvalueLastvalueFirst
h
I (42
3

Simpson’s 3/8 Rule
  termsremainingtheofsumthreeofmultiplesvalueLastvalueFirst
h
I (32
8
3

Euler’s Method
),(1 nnnn yxfhyy 
Modified Euler’s method
),(1 hyhxfhyy nnnn 
R – K Method
yyy
ky
kyhxfhk
yxfhk
nn 



1
2
12
1
),(
),(
Numerical

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Numerical

  • 1.
  • 2. What is Numerical Methods ? Numerical Methods is an approach for solving mathematical problems using simple arithmetic operations. It involves the formulation of model of physical situations that can be solved by arithmetical operations.
  • 3. Need of Numerical methods Mathematical models are a central piece of science and engineering. Some models have closed – form solutions, therefore they can be solved analytically. Many models cannot be solved analytically or the analytical solution is too costly to be practical. All models can be solved computionally and the result may not be the exact answer but it can be uesful.
  • 4. Steps involved to solve Formulation of Mathematical modelling Construction of an appropriate numerical method Implementation of the numerical method Obtain the solution by solving Validation of the solution
  • 6. Newton – Raphson Method )( )( 1 n n nn xf xf xx   n nnnn n n n n n y xxxxxx xxxxxx y xxxxxx xxxxxx y xxxxxx xxxxxx xf )..(..........)()( ),.(,,.,..........)()( ....... ....... ...... )..(..........)()( ),.(,,.,..........)()( )..(..........)()( ),.(,,.,..........)()( )( 110 110 1 12101 20 0 02010 21            Lagrange’s Interpolation Method
  • 7. Trapezoidal Rule   termsremainingtheofsumvalueLastvalueFirst h I 2 2  Simpson’s 1/3 Rule   tremsoddtheofsumtermseventheofsumvalueLastvalueFirst h I (42 3  Simpson’s 3/8 Rule   termsremainingtheofsumthreeofmultiplesvalueLastvalueFirst h I (32 8 3 
  • 8. Euler’s Method ),(1 nnnn yxfhyy  Modified Euler’s method ),(1 hyhxfhyy nnnn  R – K Method yyy ky kyhxfhk yxfhk nn     1 2 12 1 ),( ),(