Starting a new Lecture Notes Series on Mathematics - Elementary Numerical Analysis
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Mathematics - Elementary Numerical Analysis By Lecture Notes together!
Lecture 1: Mod-01 Lec-01 Introduction
Lecture 2: Mod-01 Lec-02 Polynomial Approximation
Lecture 3: Mod-01 Lec-03 Interpolating Polynomials
Lecture 6: Mod-01 Lec-06 Cubic Hermite Interpolation
Lecture 8: Mod-01 Lec-08 Cubic Spline Interpolation
Lecture 9: Mod-01 Lec-09 Tutorial 1
Lecture 10: Mod-01 Lec-10 Numerical Integration: Basic Rules
Lecture 11: Mod-01 Lec-11 Composite Numerical Integration
Lecture 12: Mod-01 Lec-12 Gauss 2-point Rule: Construction
Lecture 13: Mod-01 Lec-13 Gauss 2-point Rule: Error
Lecture 15: Mod-01 Lec-15 Tutorial 2
Lecture 16: Mod-01 Lec-16 Numerical Differentiation
Lecture 17: Mod-01 Lec-17 Gauss Elimination
Lecture 18: Mod-01 Lec-18 L U decomposition
Lecture 19: Mod-01 Lec-19 Cholesky decomposition
Lecture 21: Mod-01 Lec-21 Vector and Matrix Norms
Lecture 22: Mod-01 Lec-22 Perturbed Linear Systems
Lecture 23: Mod-01 Lec-23 ILL-conditioned Linear System
Lecture 24: Mod-01 Lec-24 Tutorial 3
Lecture 25: Mod-01 Lec-25 Effect of Small Pivots
Lecture 26: Mod-01 Lec-26 Solution of Non-linear Equations
Lecture 28: Mod-01 Lec-28 Jacobi Method
Lecture 29: Mod-01 Lec-29 Gauss-Seidel Method
Lecture 30: Mod-01 Lec-30 Tutorial 4
Lecture 31: Mod-01 Lec-31 Initial Value Problem
Lecture 32: Mod-01 Lec-36 Spectral Theorem
Lecture 33: Mod-01 Lec-37 Power Method
Lecture 34: Mod-01 Lec-38 Inverse Power Method
Lecture 35: Mod-01 Lec-39 Q R Decomposition
Lecture 36: Mod-01 Lec-40 Q R Method
Lecture 37: Mod-01 Lec-32 Multi-step Methods
Lecture 38: Mod-01 Lec-33 Predictor-Corrector Formulae
Lecture 39: Mod-01 Lec-34 Boundary Value Problems
Lecture 40: Mod-01 Lec-35 Eigenvalues and Eigenvectors