Solved Example Problems
Subject and UNIT: Statistics and Numerical Methods: Unit IV: Interpolation, numerical differentiation and numerical integration
Statistics and Numerical Methods : Unit - IV : Interpolation, numerical differentiation and numerical integration : Exercise 4.2 [Newton's Divided Differences interpolation]
Newton's Divided Differences interpolation
Subject and UNIT: Statistics and Numerical Methods: Unit IV: Interpolation, numerical differentiation and numerical integration
Statistics and Numerical Methods : Unit - IV : Interpolation, numerical differentiation and numerical integration : Short Questions and Answers
Solved Example Problems
Subject and UNIT: Statistics and Numerical Methods: Unit IV: Interpolation, numerical differentiation and numerical integration
Let, y = f(x) take values f (x0), f(x1) ... f (xn) corresponding to the arguments x0, x1, ... Xn
Solved Example Problems
Subject and UNIT: Statistics and Numerical Methods: Unit IV: Interpolation, numerical differentiation and numerical integration
Statistics and Numerical Methods : Unit - IV : Interpolation, numerical differentiation and numerical integration : Exercise 4.1 [Lagrange's Interpolation]
Lagrange's Interpolation
Subject and UNIT: Statistics and Numerical Methods: Unit IV: Interpolation, numerical differentiation and numerical integration
Statistics and Numerical Methods : Unit - IV : Interpolation, numerical differentiation and numerical integration : Short Questions and Answers
Solved Example Problems
Subject and UNIT: Statistics and Numerical Methods: Unit IV: Interpolation, numerical differentiation and numerical integration
The process of finding the value of x for the corresponding value of y is called inverse interpolation.
Solved Example Problems
Subject and UNIT: Statistics and Numerical Methods: Unit IV: Interpolation, numerical differentiation and numerical integration
The Lagrangian polynomial method is a very straight forward approach. The method perhaps is the simplest way to exhibit the existence of a polynomial for interpolation with uneven spaced data.
Subject and UNIT: Statistics and Numerical Methods: Unit IV: Interpolation, numerical differentiation and numerical integration
The estimation of values between well-known discrete points are called interpolation.
Solution of Equations and Eigenvalue Problems
Subject and UNIT: Statistics and Numerical Methods: Unit III: Solution of Equations and Eigenvalue Problems
Find the Eigenvalues and Eigenvectors of the following matrices, using Jacobi method
Solved Example Problems | Solution of Equations and Eigenvalue Problems
Subject and UNIT: Statistics and Numerical Methods: Unit III: Solution of Equations and Eigenvalue Problems
Let A be a given real symmetric matrix. Its eigenvalues are real and there exists a real orthogonal matrix B such that B-1AB is a diagonal matrix D
Solution of Equations and Eigenvalue Problems
Subject and UNIT: Statistics and Numerical Methods: Unit III: Solution of Equations and Eigenvalue Problems
Find the dominant Eigenvalue and Eigenvector of the following matrices by power method.
Eigenvalue of a matrix by power method
Subject and UNIT: Statistics and Numerical Methods: Unit III: Solution of Equations and Eigenvalue Problems
Statistics and Numerical Methods : Unit - III : Solution of Equations and Eigenvalue Problems : Short Questions and Answers