EE-Learning
Explicit and Implicit Methods
Catogry:
Computing
Subject:
Computer Science
Course:
Numerical Methods And Programing
Lecture List
Fast Fourier Transforms
Fourier Transforms
The Crank – Nicholson Scheme For Two Spatial
Explicit and Implicit Methods
Partial Differential Equations
Adaptive step size Runge Kutta scheme
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Solving ordinary differential equations I
Solving Ordinary Differential Equations
Comparison of Gaussian Rules
Gaussian Rules
Comparison of Different Basic Rules
Numerical Integration – Basic Rules
High order Derivatives From Difference Formula
Numerical Derivations
System of NonLinear Equations
Methods For Solving NonLinear Equations
Solving NonLinear Equations Newton I
Solving NonLinear Equations
Eigen Values And Eigen Vectors
Eigen Values of A Matrix
Matrix Elimination
Solution To Linear Equations
Matrix Elimation and Solution
Data Fitting : Non Linear Fit II
Data Fitting : Linear Fit I
Data Fitting : Linear Fit
Cubic Spline Interpolation
Polynomial Interpolation
Error In Interpolation Polynomial
Polynomial Interpolation-2
Polynomial Interpolation-1
Error Propagation and Stability
Numerical Error
Representation of Numbers
External Functions and Argument Passing
Pointers And Arrays
Introduction to Pointers
Programing Basics