Lecture 29 - Gaussian Rules

Course Lectures

• Lecture 1 - Programing Basics

  Play
• Lecture 2 - Introduction to Pointers

  Play
• Lecture 3 - Pointers And Arrays

  Play
• Lecture 4 - External Functions and Argument Passing

  Play
• Lecture 5 - Representation of Numbers

  Play
• Lecture 6 - Numerical Error

  Play
• Lecture 7 - Error Propagation and Stability

  Play
• Lecture 8 - Polynomial Interpolation-1

  Play
• Lecture 9 - Polynomial Interpolation-2

  Play
• Lecture 10 - Error In Interpolation Polynomial

  Play
• Lecture 11 - Polynomial Interpolation

  Play
• Lecture 12 - Cubic Spline Interpolation

  Play
• Lecture 13 - Data Fitting : Linear Fit

  Play
• Lecture 14 - Data Fitting : Linear Fit

  Play
• Lecture 15 - Data Fitting : Non Linear Fit

  Play
• Lecture 16 - Matrix Elimation and Solution

  Play
• Lecture 17 - Solution To Linear Equations

  Play
• Lecture 18 - Matrix Elimination

  Play
• Lecture 19 - Eigen Values of A Matrix

  Play
• Lecture 20 - Eigen Values And Eigen Vectors

  Play
• Lecture 21 - Solving NonLinear Equations

  Play
• Lecture 22 - Solving NonLinear Equations Newton

  Play
• Lecture 23 - Methods For Solving NonLinear Equations

  Play
• Lecture 24 - System of NonLinear Equations

  Play
• Lecture 25 - Numerical Derivations

  Play
• Lecture 26 - High order Derivatives From Difference Formula

  Play
• Lecture 27 - Numerical Integration - Basic Rules

  Play
• Lecture 28 - Comparison of Different Basic Rules

  Play
• Lecture 29 - Gaussian Rules

  Playing
• Lecture 30 - Comparison of Gaussian Rules

  Play
• Lecture 31 - Solving Ordinary Differential Equations

  Play
• Lecture 32-Solving ordinary differential equations

  Play
• Lecture 33 - Adaptive step size Runge Kutta scheme

  Play
• Lecture 34 - Partial Differential Equations

  Play
• Lecture 35 - Explicit and Implicit Methods

  Play
• Lecture - 36 The Crank - Nicholson Scheme For Two Spatial

  Play
• Lecture 37 - Fourier Transforms

  Play
• Lecture 38 Fast Fourier Transforms

  Play