Lecture 31 of 63week-06
Week 6 : Lecture 31 : Nonlinear Equations: Convergence Theorem of Secant Method
Prof. S. Baskar · IIT Bombay
Credits and licence
- From
- Numerical Analysis, IIT Bombay (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- Tweens profiles and older. How courses are placed
All the lectures
- Week 1 : Lecture 1 : Introduction
- Week 1 : Lecture 2 : Mathematical Preliminaries: Taylor Approximation
- Week 1 : Lecture 3 : Mathematical Preliminaries: Order of Convergence
- Week 1 : Lecture 4 : Arithmetic Error: Floating-point Approximation
- Week 1 : Lecture 5 : Arithmetic Error: Significant Digits
- Week 1 : Lecture 6 : Arithmetic Error: Condition Number and Stable Computation
- Week 2 : Lecture 7 : Tutorial Session - 1: Problem Solving
- Week 2 : Lecture 8 : Python Coding: Introduction
- Week 2 : Lecture 9 : Linear Systems: Gaussian Elimination Method
- Week 2 : Lecture 10 : Linear Systems: LU-Factorization (Doolittle and Crout)
- Week 2 : Lecture 11 : Linear Systems: LU-Factorization (Cholesky)
- Week 3 : Lecture 12 : Linear Systems: Operation Count for Direct Methods
- Week 3 : Lecture 13 : Tutorial Session - 2: Python Coding for Naive Gaussian Elimination Method
- Week 3 : Lecture 14 : Tutorial Session - 3: Python Coding for Thomas Algorithm
- Week 3 : Lecture 15 : Matrix Norms: Subordinate Matrix Norms
- Week 3 : Lecture 16 : Matrix Norms: Condition Number of a Matrix
- Week 4 : Lecture 17 : Iterative Methods: Jacobi Method
- Week 4 : Lecture 18 : Iterative Methods: Convergence of Jacobi Method
- Week 4 : Lecture 19 : Iterative Methods: Gauss-Seidel Method
- Week 4 : Lecture 20 : Iterative Methods: Convergence Analysis of Iterative Methods
- Week 4 : Lecture 21 : Iterative Methods: Successive Over Relaxation Method
- Week 5 : Lecture 22 : Tutorial Session - 4: Python implementation of Jacobi Method
- Week 5 : Lecture 23 : Eigenvalues and Eigenvectors: Power Method (Construction)
- Week 5 : Lecture 24 : Eigenvalues and Eigenvectors: Power Method (Convergence Theorem)
- Week 5 : Lecture 25 : Eigenvalues and Eigenvectors: Gerschgorin's Theorem and Applications
- Week 5 : Lecture 26 : Eigenvalues and Eigenvectors: Power Method (Inverse and Shifted Methods)
- Week 6 : Lecture 27 : Nonlinear Equations: Overview
- Week 6 : Lecture 28 : Nonlinear Equations: Bisection Method
- Week 6 : Lecture 29 : Tutorial Session - 5: Implementation of Bisection Method
- Week 6 : Lecture 30 : Nonlinear Equations: Regula-falsi and Secant Methods
- Week 6 : Lecture 31 : Nonlinear Equations: Convergence Theorem of Secant Method
- Week 7 : Lecture 32 : Nonlinear Equations: Newton-Raphson's method
- Week 7 : Lecture 33 : Nonlinear Equations: Newton-Raphson's method (Convergence Theorem)
- Week 7 : Lecture 34 : Nonlinear Equations: Fixed-point Iteration Methods
- Lecture 35:Nonlinear Equations: Fixed-point Iteration Methods (Convergence)&Modified Newton's Method
- Week 7 : Lecture 36 : Nonlinear Equations: System of Nonlinear Equations
- Week 8 : Lecture 37 : Nonlinear Equations: Implementation of Newton-Raphson's Method as Python Code
- Week 8 : Lecture 38 : Polynomial Interpolation: Existence and Uniqueness
- Week 8 : Lecture 39 : Polynomial Interpolation: Lagrange and Newton Forms
- Week 8 : Lecture 40 : Polynomial Interpolation: Newton’s Divided Difference Formula
- Week 8 : Lecture 41 : Polynomial Interpolation: Mathematical Error in Interpolating Polynomial
- Week 9 : Lecture 42 : Polynomial Interpolation: Arithmetic Error in Interpolating Polynomials
- Week 9 : Lecture 43 : Polynomial Interpolation: Implementation of Lagrange Form as Python Code
- Week 9 : Lecture 44: Polynomial Interpolation: Runge Phenomenon & Piecewise Polynomial Interpolation
- Week 9 : Lecture 45 : Polynomial Interpolation: Hermite Interpolation
- Week 9 : Lecture 46 : Polynomial Interpolation: Cubic Spline Interpolation
- Week 10 : Lecture 47 : Polynomial Interpolation: Tutorial Session
- Week 10 : Lecture 48 : Numerical Integration: Rectangle Rule
- Week 10 : Lecture 49 : Numerical Integration: Trapezoidal Rule
- Lecture 50 : Numerical Integration: Simpson's Rule
- Week 10 : Lecture 51 : Numerical Integration: Gaussian Quadrature Rule
- Week 11 : Lecture 52 : Numerical Integration: Tutorial Session
- Week 11 : Lecture 53 : Numerical Differentiation: Primitive Finite Difference Formulae
- Lecture 54 : Numerical Differentiation: Method of Undetermined Coefficients and Arithmetic Error
- Week 11 : Lecture 55 : Numerical ODEs: Euler Methods
- Week 11 : Lecture 56 : Numerical ODEs: Euler Methods (Error Analysis)
- Week 12 : Lecture 57 : Numerical ODEs: Runge-Kutta Methods
- Week 12 : Lecture 58 : Numerical ODEs: Modified Euler's Methods
- Week 12 : Lecture 59 : Numerical ODEs: Multistep Methods
- Week 12 : Lecture 60 : Numerical ODEs: Stability Analysis
- Week 12 : Lecture 61 : Numerical ODEs: Two-point Boundary Value Problems
- Live Session 21-02-2024
- Live Session 06-03-2025