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Complex Variable & Numerical Method
1. Presentation
on
Interpolation and forward ,backward ,
central method
In partial fulfillment of the subject
CVNM
Submitted by:
Mitesh Patel (130120119155) / Mechanical / 4C1
Mitul Patel (130120119156) / Mechanical / 4C1
Neel Patel (130120119157) / Mechanical / 4C1
(2140001)
GANDHINAGAR INSTITUTE OF TECHNOLOGY
2. INTERPOLATION AND EXTRAPOLATION
The process of finding the values inside the interval 𝑥0<𝑥< 𝑥 𝑛 is known as
interpolation.
The process of finding the values outside the interval 𝑥0<𝑥< 𝑥 𝑛 is known as
extrapolation.
Interpolation
Forward
interpolation
Backward
interpolation
3. POLYNOMIAL INTERPOLATION
For a two point data a first order(linear)polynomial connecting two
points is used.
For a three point data a second order (quadratic) polynomial connecting
three point used
For four point data a third order (cubic) polynomial connecting three
point.
6. RULES OF INTERPOLATION
Interpolation formulas can be used only when the values of the
argument 𝑥 are equidistant.
The point 𝑥0 should be selected very close to the point at which
interpolation is required.
Usually in the forward interpolation the very first value of 𝑥 is taken
equal to 𝑥0.
Backward interpolation is suitable for interpolation near the end of
tabulated values in the backward interpolation.
In backward interpolation the last value of 𝑥 is taken equal to 𝑥 𝑛.
7. FIRST FORWARD DIFFERENCES
The 𝑦1- 𝑦0 , 𝑦2 - 𝑦1 , 𝑦𝑛 - 𝑦 𝑛−1.differences are called the first forward
differences of the function.
y = f (x) and we denote these difference by
∆𝑦0 , ∆𝑦1 , ∆𝑦2……….., ∆𝑦𝑛respectively, where Δ is called the
descending or forward difference operator.
In general, the first forward differences is defined by
Δ𝑦𝑥= 𝑦 𝑥+1– 𝑦𝑥.
where Δ is called first forward difference operator.
8. SECOND FORWARD DIFFRENCE
OPERATOR
The differences of first forward differences are called second forward
differences.
∆ 𝟐
𝑦0=∆𝑦1- ∆𝑦0.
∆ 𝟐 𝑦1 =∆𝑦2 - ∆𝑦1.
∆ 𝟐
𝒚 𝒏−𝟏= ∆𝑦𝑛 - ∆𝑦 𝑛−1.
∆ 𝟐 𝑦0 , ∆ 𝟐 𝑦1,………..,∆ 𝟐 𝒚 𝒏−𝟏are called second forward differences.
where ∆ 𝟐is called second forward difference order.
12. FIRST BACKWARD DIFFRENCES
The 𝑦1- 𝑦0 , 𝑦2 - 𝑦1 , 𝑦𝑛 - 𝑦 𝑛−1.differences are called the first forward
differences of the function.
y = f (x) and we denote these difference by
𝛁𝑦1 , 𝛁𝑦2 , 𝛁𝑦3………..,𝛁𝑦𝑛respectively, where 𝛁is called the descending
or forward difference operator.
In general, the first forward differences is defined by
𝛁𝑦𝑛= 𝑦𝑛 – 𝑦 𝑛−1.
where is called first backward difference operator.
13. SECOND BACKWARD DIFFRENCE
OPERATOR
The differences of first forward differences are called second backward
differences.
𝛁 𝟐
𝑦1=∆𝑦1- ∆𝑦0.
𝛁 𝟐 𝑦2 =∆𝑦2 - ∆𝑦1.
𝛁 𝟐
𝒚 𝒏= ∆𝑦𝑛 - ∆𝑦 𝑛−1.
𝛁 𝟐 𝑦1 , ∆ 𝟐 𝑦2,………..,∆ 𝟐 𝒚 𝒏are called second forward
differences.
where 𝛁is called second backward difference operator.
17. CENTRAL DIFFERNCES (δ)
If we denote the differences 𝛿𝑦1/2 , δ𝑦3/2 ,…..., δ𝑦 𝑛−1/2 respectively,
then we have
𝛿𝑦1/2=𝑦1- 𝑦0 , δ𝑦3/2=𝑦2 - 𝑦1 , ……..,
δ𝑦 𝑛−1/2=𝑦𝑛 - 𝑦 𝑛−1.
Where δ is called first central difference operator.
Where 𝛿𝑦1/2 , δ𝑦3/2 ,……….., δ𝑦 𝑛−1/2 are called first central
differences.
18. GENERAL 𝑁 𝑇𝐻
TERM FOR
CENTRAL DIFFRENCES
In the general , the 𝑛 𝑡ℎ central differences can be written as:-
𝜹 𝒏
𝒚𝒊−(
𝟏
𝟐
)
=𝜹 𝒏−𝟏
𝒚𝒊 - 𝜹 𝒏−𝟏
𝒚𝒊−𝟏 .
where n = 1,2,3………n.
following table shows how the central difference can be written.
20. TYPES OF OPERATORS
Operators
Shifting operator Unit operator
Inverse
operator
Differential
operator
Forward
difference
operators
Backward
difference
operator
21. FORWARD AND BACKWARD
DIFFERNCES OPERATORS EQUATIONS
∆𝑓(𝑥) = 𝑓(𝑥 + ℎ)- 𝑓(𝑥).
This equation is known as forward difference operators equation.
∇𝑓(𝑥) = 𝑓(𝑥 ) - 𝑓(𝑥 − ℎ).
This equation is known as backward difference operators equation.
22. SHIFTING OPERATOR (∈)
E𝑓(𝑥) = 𝑓(𝑥 + h).
E2
𝑓(𝑥) = 𝑓(𝑥+ 2h).
E3
𝑓(𝑥) = 𝑓(𝑥+ 3h).
⋮ ⋮
E 𝑛
𝑓(𝑥)= 𝑓(𝑥 + nh).
E is also known as displacement or translation operator.
23. INVERSE OPERATOR
𝐸−1 𝑓(𝑥+ h) = 𝑓(𝑥 – h).
𝐸−2 𝑓(𝑥+ h) = 𝑓(𝑥 – 2h).
𝐸−3 𝑓(𝑥+ h) = 𝑓(𝑥 – 3h).
⋮ ⋮
𝐸−𝑛
𝑓(𝑥+ h) = 𝑓(𝑥 – nh).
where 𝜖−1 is known as inverse operator.