SlideShare una empresa de Scribd logo
1 de 29
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
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
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.
FINITE DIFFERENCES
FINITE
DIFFRENCES
FORWARD
DIFFERENCES
CENTRAL
DIFFERENCES
BACKWARD
DIFFERENCES
 Finite differences are of three types :-
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.
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.
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.
TABLE
Argument
x
Entry
y = f(x)
First
Differences
∆
Second
Differences
∆ 𝟐
Third
Differences
∆ 𝟑
Fourth
Differences
∆ 𝟒
𝑥0
𝑥1
𝑥2
𝑥3
𝑥4
𝑦0
𝑦1
𝑦2
𝑦3
𝑦4
∆𝑦0
∆𝑦1
∆𝑦2
∆𝑦3
∆ 𝟐
𝑦0
∆ 𝟐
𝑦1
∆ 𝟐 𝑦2
∆ 𝟑
𝑦0
∆ 𝟑 𝑦1
∆ 𝟒 𝑦0
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.
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.
TABLE
Argument
x
Entry
y = f(x)
First
Differences
𝛁
Second
Differences
𝛻 𝟐
Third
Differences
𝛻 𝟑
Fourth
Differences
𝛻 𝟒
𝑥0
𝑥1
𝑥2
𝑥3
𝑥4
𝑦0
𝑦1
𝑦2
𝑦3
𝑦4
𝛁𝑦0
𝛁𝑦1
𝛁𝑦2
𝛁𝑦3
𝛁 𝟐
𝑦0
𝛁 𝟐 𝑦1
𝛁 𝟐
𝑦2
𝛁 𝟑
𝑦0
𝛁 𝟑
𝑦1
𝛁 𝟒 𝑦0
THE DIFFERENT
TYPES OF
OPERATORS.
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.
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.
TABLE
Argument
x
Entry
y = f(x)
First
Differences
𝛅
Second
Differences
𝛅 𝟐
Third
Differences
𝛅 𝟑
Fourth
Differences
𝛅 𝟒
𝑥0
𝑥1
𝑥2
𝑥3
𝑥4
𝑦0
𝑦1
𝑦2
𝑦3
𝑦4
𝛿𝑦1/2
δ𝑦3/2
δ𝑦5/2
δ𝑦7/2
𝛅 𝟐y1
𝛅 𝟐 𝑦2
𝛅 𝟐 𝑦3
𝛅 𝟑 𝑦3/2
𝛅 𝟑
𝑦5/2
𝛅 𝟒 𝑦2
TYPES OF OPERATORS
Operators
Shifting operator Unit operator
Inverse
operator
Differential
operator
Forward
difference
operators
Backward
difference
operator
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.
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.
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.
DIFFERNTIAL OPERATOR
𝐷𝑓(𝑥) =
𝑑
𝑑𝑥
𝑓(𝑥).
𝐷2 𝑓 𝑥 =
𝑑2
𝑑𝑥2 𝑓(𝑥).
⋮ ⋮
𝐷 𝑛
𝑓 𝑥 =
𝑑 𝑛
𝑑𝑥 𝑛
𝑓 𝑥 .
where 𝐷 is known as differential operator.
UNIT OPERATOR
The unit operator 1 is defined as 1.f(x)= f(x).
RELATION BETWEEN FORWARD AND
SHIFTING OPERATOR
 ∆=E-1.
By definition ,
∆𝑓(𝑥)=𝑓 𝑥 + h − 𝑓(𝑥).
∆𝑓(𝑥)=E 𝑓 𝑥 − 1. 𝑓(𝑥).
∆𝑓(𝑥)=(E-1)𝑓(𝑥).
∆= 𝐸 − 1.
RELATION BETWEEN THE BACKWARD
AND INVERSE OPERATOR
∇=1-𝐸−1
.
By definition ,
∇𝑓(𝑥)=𝑓(𝑥)-𝑓(𝑥 − h).
∇𝑓(𝑥)=1.𝑓(𝑥)-𝐸−1
𝑓(𝑥).
∇𝑓 𝑥 =(1-𝐸−1
)𝑓(𝑥).
∇=(1-𝐸−1
).
RELATION BETWEEN THE CENTRE
AND INVERSE OPERATOR
 δ=𝐸−1/2∆.
By definition ,
δ𝑓(𝑥)=𝑓(𝑥 +
h
2
)-𝑓 𝑥 −
h
2
.
δ𝑓(𝑥)=𝐸1/2 𝑓(𝑥)-𝐸−
1
2 𝑓 𝑥 .
δ𝑓 𝑥 = (𝐸1/2-𝐸−1/2)𝑓 𝑥 .
δ= 𝐸−1/2(E-1).
δ= 𝐸−1/2
∆.
THANK
YOU

Más contenido relacionado

La actualidad más candente

La actualidad más candente (20)

APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJ
APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJAPPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJ
APPLICATIONS OF DIFFERENTIAL EQUATIONS-ZBJ
 
Partial differential equations
Partial differential equationsPartial differential equations
Partial differential equations
 
First and follow set
First and follow setFirst and follow set
First and follow set
 
Interpolation with Finite differences
Interpolation with Finite differencesInterpolation with Finite differences
Interpolation with Finite differences
 
Engineering Mathematics & Probability Distributions
Engineering Mathematics & Probability DistributionsEngineering Mathematics & Probability Distributions
Engineering Mathematics & Probability Distributions
 
Logic gates ppt
Logic gates pptLogic gates ppt
Logic gates ppt
 
Regular Grammar
Regular GrammarRegular Grammar
Regular Grammar
 
Control system mathematical modelling of a system
Control system mathematical modelling of a systemControl system mathematical modelling of a system
Control system mathematical modelling of a system
 
Differential equations of first order
Differential equations of first orderDifferential equations of first order
Differential equations of first order
 
language , grammar and automata
language , grammar and automatalanguage , grammar and automata
language , grammar and automata
 
Hardware Description Language
Hardware Description Language Hardware Description Language
Hardware Description Language
 
Graph Theory
Graph TheoryGraph Theory
Graph Theory
 
Newton's Forward/Backward Difference Interpolation
Newton's Forward/Backward  Difference InterpolationNewton's Forward/Backward  Difference Interpolation
Newton's Forward/Backward Difference Interpolation
 
Deciability (automata presentation)
Deciability (automata presentation)Deciability (automata presentation)
Deciability (automata presentation)
 
Tower of hanoi
Tower of hanoiTower of hanoi
Tower of hanoi
 
Interpolation and its applications
Interpolation and its applicationsInterpolation and its applications
Interpolation and its applications
 
Inverse laplace transforms
Inverse laplace transformsInverse laplace transforms
Inverse laplace transforms
 
Numerical Computing
Numerical Computing Numerical Computing
Numerical Computing
 
Complex analysis
Complex analysisComplex analysis
Complex analysis
 
numerical methods
numerical methodsnumerical methods
numerical methods
 

Destacado

08 numerical integration
08 numerical integration08 numerical integration
08 numerical integration
Mohammad Tawfik
 
Complex Variable Interest Entity [sanitized]
Complex Variable Interest Entity [sanitized] Complex Variable Interest Entity [sanitized]
Complex Variable Interest Entity [sanitized]
Michael Burgess
 
08 numerical integration 2
08 numerical integration 208 numerical integration 2
08 numerical integration 2
Mohammad Tawfik
 

Destacado (20)

08 numerical integration
08 numerical integration08 numerical integration
08 numerical integration
 
Applied numerical methods lec10
Applied numerical methods lec10Applied numerical methods lec10
Applied numerical methods lec10
 
Numerical Integration
Numerical IntegrationNumerical Integration
Numerical Integration
 
Numerical integration
Numerical integrationNumerical integration
Numerical integration
 
Numerical Integration
Numerical IntegrationNumerical Integration
Numerical Integration
 
Newton’s Forward & backward interpolation
Newton’s Forward &  backward interpolation Newton’s Forward &  backward interpolation
Newton’s Forward & backward interpolation
 
Complex Variable Interest Entity [sanitized]
Complex Variable Interest Entity [sanitized] Complex Variable Interest Entity [sanitized]
Complex Variable Interest Entity [sanitized]
 
Chapter07
Chapter07Chapter07
Chapter07
 
Matiasy Kevin1
Matiasy Kevin1Matiasy Kevin1
Matiasy Kevin1
 
08 numerical integration 2
08 numerical integration 208 numerical integration 2
08 numerical integration 2
 
Trade Blocks, Reginal Economic Intigration
Trade Blocks, Reginal Economic IntigrationTrade Blocks, Reginal Economic Intigration
Trade Blocks, Reginal Economic Intigration
 
Gaussian Quadrature Formula
Gaussian Quadrature FormulaGaussian Quadrature Formula
Gaussian Quadrature Formula
 
Lesson 3 simpsons rule
Lesson 3 simpsons ruleLesson 3 simpsons rule
Lesson 3 simpsons rule
 
Gaussian Integration
Gaussian IntegrationGaussian Integration
Gaussian Integration
 
Euler’s formula
Euler’s formulaEuler’s formula
Euler’s formula
 
Euler formula
Euler formulaEuler formula
Euler formula
 
Newton divided difference interpolation
Newton divided difference interpolationNewton divided difference interpolation
Newton divided difference interpolation
 
Calc 4.6
Calc 4.6Calc 4.6
Calc 4.6
 
Numerical differentiation integration
Numerical differentiation integrationNumerical differentiation integration
Numerical differentiation integration
 
Newton’s Divided Difference Formula
Newton’s Divided Difference FormulaNewton’s Divided Difference Formula
Newton’s Divided Difference Formula
 

Similar a Complex Variable & Numerical Method

engineeringmathematics-iv_unit-iv
engineeringmathematics-iv_unit-ivengineeringmathematics-iv_unit-iv
engineeringmathematics-iv_unit-iv
Kundan Kumar
 
One particle to_onepartlce_scattering_sqrd
One particle to_onepartlce_scattering_sqrdOne particle to_onepartlce_scattering_sqrd
One particle to_onepartlce_scattering_sqrd
foxtrot jp R
 

Similar a Complex Variable & Numerical Method (20)

Prerna actual.pptx
Prerna actual.pptxPrerna actual.pptx
Prerna actual.pptx
 
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IV
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IVEngineering Mathematics-IV_B.Tech_Semester-IV_Unit-IV
Engineering Mathematics-IV_B.Tech_Semester-IV_Unit-IV
 
engineeringmathematics-iv_unit-iv
engineeringmathematics-iv_unit-ivengineeringmathematics-iv_unit-iv
engineeringmathematics-iv_unit-iv
 
Classification of Almost Linear Equation in n-Independent 1111111 Variables....
Classification of Almost Linear Equation in n-Independent  1111111 Variables....Classification of Almost Linear Equation in n-Independent  1111111 Variables....
Classification of Almost Linear Equation in n-Independent 1111111 Variables....
 
Unit iv
Unit ivUnit iv
Unit iv
 
The derivatives module03
The derivatives module03The derivatives module03
The derivatives module03
 
Note on fourier transform of unit step function
Note on fourier transform of unit step functionNote on fourier transform of unit step function
Note on fourier transform of unit step function
 
Numerical differentiation and integration
Numerical differentiation and integrationNumerical differentiation and integration
Numerical differentiation and integration
 
One particle to_onepartlce_scattering_18052020
One particle to_onepartlce_scattering_18052020One particle to_onepartlce_scattering_18052020
One particle to_onepartlce_scattering_18052020
 
One particle to_onepartlce_scatteringsqrdcpy1
One particle to_onepartlce_scatteringsqrdcpy1One particle to_onepartlce_scatteringsqrdcpy1
One particle to_onepartlce_scatteringsqrdcpy1
 
One particle to_onepartlce_scattering_12082020_fordisplay
One particle to_onepartlce_scattering_12082020_fordisplayOne particle to_onepartlce_scattering_12082020_fordisplay
One particle to_onepartlce_scattering_12082020_fordisplay
 
One particle to_onepartlce_scattering_5302020_pdfcpy
One particle to_onepartlce_scattering_5302020_pdfcpyOne particle to_onepartlce_scattering_5302020_pdfcpy
One particle to_onepartlce_scattering_5302020_pdfcpy
 
Numerical Solution Of Delay Differential Equations Using The Adomian Decompos...
Numerical Solution Of Delay Differential Equations Using The Adomian Decompos...Numerical Solution Of Delay Differential Equations Using The Adomian Decompos...
Numerical Solution Of Delay Differential Equations Using The Adomian Decompos...
 
One particle to_onepartlce_scattering_sqrd
One particle to_onepartlce_scattering_sqrdOne particle to_onepartlce_scattering_sqrd
One particle to_onepartlce_scattering_sqrd
 
Interpolation
InterpolationInterpolation
Interpolation
 
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORMNEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
 
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORMNEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
 
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORMNEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
NEW METHOD OF SIGNAL DENOISING BY THE PAIRED TRANSFORM
 
Matlab lab manual
Matlab lab manualMatlab lab manual
Matlab lab manual
 
A Class of Polynomials Associated with Differential Operator and with a Gener...
A Class of Polynomials Associated with Differential Operator and with a Gener...A Class of Polynomials Associated with Differential Operator and with a Gener...
A Class of Polynomials Associated with Differential Operator and with a Gener...
 

Último

Integrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - NeometrixIntegrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - Neometrix
Neometrix_Engineering_Pvt_Ltd
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
AldoGarca30
 
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Kandungan 087776558899
 
DeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakesDeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakes
MayuraD1
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
ssuser89054b
 

Último (20)

Block diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.pptBlock diagram reduction techniques in control systems.ppt
Block diagram reduction techniques in control systems.ppt
 
Employee leave management system project.
Employee leave management system project.Employee leave management system project.
Employee leave management system project.
 
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
Bhubaneswar🌹Call Girls Bhubaneswar ❤Komal 9777949614 💟 Full Trusted CALL GIRL...
 
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptxOrlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
Orlando’s Arnold Palmer Hospital Layout Strategy-1.pptx
 
Integrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - NeometrixIntegrated Test Rig For HTFE-25 - Neometrix
Integrated Test Rig For HTFE-25 - Neometrix
 
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptxA CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
A CASE STUDY ON CERAMIC INDUSTRY OF BANGLADESH.pptx
 
Thermal Engineering Unit - I & II . ppt
Thermal Engineering  Unit - I & II . pptThermal Engineering  Unit - I & II . ppt
Thermal Engineering Unit - I & II . ppt
 
GEAR TRAIN- BASIC CONCEPTS AND WORKING PRINCIPLE
GEAR TRAIN- BASIC CONCEPTS AND WORKING PRINCIPLEGEAR TRAIN- BASIC CONCEPTS AND WORKING PRINCIPLE
GEAR TRAIN- BASIC CONCEPTS AND WORKING PRINCIPLE
 
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
COST-EFFETIVE  and Energy Efficient BUILDINGS ptxCOST-EFFETIVE  and Energy Efficient BUILDINGS ptx
COST-EFFETIVE and Energy Efficient BUILDINGS ptx
 
Thermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.pptThermal Engineering -unit - III & IV.ppt
Thermal Engineering -unit - III & IV.ppt
 
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
1_Introduction + EAM Vocabulary + how to navigate in EAM.pdf
 
Introduction to Serverless with AWS Lambda
Introduction to Serverless with AWS LambdaIntroduction to Serverless with AWS Lambda
Introduction to Serverless with AWS Lambda
 
AIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech studentsAIRCANVAS[1].pdf mini project for btech students
AIRCANVAS[1].pdf mini project for btech students
 
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak HamilCara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
Cara Menggugurkan Sperma Yang Masuk Rahim Biyar Tidak Hamil
 
Generative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPTGenerative AI or GenAI technology based PPT
Generative AI or GenAI technology based PPT
 
Engineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planesEngineering Drawing focus on projection of planes
Engineering Drawing focus on projection of planes
 
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
Navigating Complexity: The Role of Trusted Partners and VIAS3D in Dassault Sy...
 
DeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakesDeepFakes presentation : brief idea of DeepFakes
DeepFakes presentation : brief idea of DeepFakes
 
Double Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torqueDouble Revolving field theory-how the rotor develops torque
Double Revolving field theory-how the rotor develops torque
 
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
 

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.
  • 4.
  • 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.
  • 9. TABLE Argument x Entry y = f(x) First Differences ∆ Second Differences ∆ 𝟐 Third Differences ∆ 𝟑 Fourth Differences ∆ 𝟒 𝑥0 𝑥1 𝑥2 𝑥3 𝑥4 𝑦0 𝑦1 𝑦2 𝑦3 𝑦4 ∆𝑦0 ∆𝑦1 ∆𝑦2 ∆𝑦3 ∆ 𝟐 𝑦0 ∆ 𝟐 𝑦1 ∆ 𝟐 𝑦2 ∆ 𝟑 𝑦0 ∆ 𝟑 𝑦1 ∆ 𝟒 𝑦0
  • 10.
  • 11.
  • 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.
  • 14. TABLE Argument x Entry y = f(x) First Differences 𝛁 Second Differences 𝛻 𝟐 Third Differences 𝛻 𝟑 Fourth Differences 𝛻 𝟒 𝑥0 𝑥1 𝑥2 𝑥3 𝑥4 𝑦0 𝑦1 𝑦2 𝑦3 𝑦4 𝛁𝑦0 𝛁𝑦1 𝛁𝑦2 𝛁𝑦3 𝛁 𝟐 𝑦0 𝛁 𝟐 𝑦1 𝛁 𝟐 𝑦2 𝛁 𝟑 𝑦0 𝛁 𝟑 𝑦1 𝛁 𝟒 𝑦0
  • 15.
  • 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.
  • 19. TABLE Argument x Entry y = f(x) First Differences 𝛅 Second Differences 𝛅 𝟐 Third Differences 𝛅 𝟑 Fourth Differences 𝛅 𝟒 𝑥0 𝑥1 𝑥2 𝑥3 𝑥4 𝑦0 𝑦1 𝑦2 𝑦3 𝑦4 𝛿𝑦1/2 δ𝑦3/2 δ𝑦5/2 δ𝑦7/2 𝛅 𝟐y1 𝛅 𝟐 𝑦2 𝛅 𝟐 𝑦3 𝛅 𝟑 𝑦3/2 𝛅 𝟑 𝑦5/2 𝛅 𝟒 𝑦2
  • 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.
  • 24. DIFFERNTIAL OPERATOR 𝐷𝑓(𝑥) = 𝑑 𝑑𝑥 𝑓(𝑥). 𝐷2 𝑓 𝑥 = 𝑑2 𝑑𝑥2 𝑓(𝑥). ⋮ ⋮ 𝐷 𝑛 𝑓 𝑥 = 𝑑 𝑛 𝑑𝑥 𝑛 𝑓 𝑥 . where 𝐷 is known as differential operator.
  • 25. UNIT OPERATOR The unit operator 1 is defined as 1.f(x)= f(x).
  • 26. RELATION BETWEEN FORWARD AND SHIFTING OPERATOR  ∆=E-1. By definition , ∆𝑓(𝑥)=𝑓 𝑥 + h − 𝑓(𝑥). ∆𝑓(𝑥)=E 𝑓 𝑥 − 1. 𝑓(𝑥). ∆𝑓(𝑥)=(E-1)𝑓(𝑥). ∆= 𝐸 − 1.
  • 27. RELATION BETWEEN THE BACKWARD AND INVERSE OPERATOR ∇=1-𝐸−1 . By definition , ∇𝑓(𝑥)=𝑓(𝑥)-𝑓(𝑥 − h). ∇𝑓(𝑥)=1.𝑓(𝑥)-𝐸−1 𝑓(𝑥). ∇𝑓 𝑥 =(1-𝐸−1 )𝑓(𝑥). ∇=(1-𝐸−1 ).
  • 28. RELATION BETWEEN THE CENTRE AND INVERSE OPERATOR  δ=𝐸−1/2∆. By definition , δ𝑓(𝑥)=𝑓(𝑥 + h 2 )-𝑓 𝑥 − h 2 . δ𝑓(𝑥)=𝐸1/2 𝑓(𝑥)-𝐸− 1 2 𝑓 𝑥 . δ𝑓 𝑥 = (𝐸1/2-𝐸−1/2)𝑓 𝑥 . δ= 𝐸−1/2(E-1). δ= 𝐸−1/2 ∆.