Math 2.0

Resources / course

Numerical methods ZTSZ894TQB

URIm2://res/ZTSZ894TQB
Kindcourse
CreatorsAmeeya Kumar Nayak (instructor), Sanjeev Kumar (instructor)
Date2017-07-03
Scopein
Idscourse 00582g326:111107105, course 00582g326:111107107

Expressions

e1: edition

Languageen
Date2017-07-03
Contents
  • part 1: Week 1
  • session 1: Introduction to error analysis and linear systems
  • session 2: Gaussian elimination with partial pivoting
  • session 3: LU decomposition
  • session 4: Jacobi and Gauss Seidel methods
  • session 5: Iterative methods-II
  • part 2: Week 2
  • session 6: Introduction to Non-linear equations and Bisection method
  • session 7: Regula Falsi and Secant methods
  • session 8: Newton-Raphson method
  • session 9: Fixed point iteration method
  • session 10: System of Nonlinear equations
  • part 3: Week 3
  • session 11: Introduction to Eigenvalues and Eigenvectors
  • session 12: Similarity Transformations and Gershgorin Theorem
  • session 13: Jacobi's Method for Computing Eigenvalues
  • session 14: Power Method
  • session 15: Inverse Power Method
  • part 4: Week 4
  • session 16: Interpolation Part I (Introduction to Interpolation)
  • session 17: Interpolation part-II ( Some basic operators and their properties)
  • session 18: Interpolation part-III (Newton’s Forward/ Backward difference and derivation of general error)
  • session 19: Interpolation part-IV (Error in approximating a function by a polynomial using Newton’s Forward & Backward difference formula)
  • session 20: Interpolation part-V (Solving problems using Newton's Forward & Backward difference formula)
  • part 5: Week 5
  • session 21: Interpolation part-VI (Central difference formula)
  • session 22: Interpolation part-VII (Lagrange interpolation formula with examples)
  • session 23: Interpolation part-VIII (Divided difference interpolation with examples)
  • session 24: Interpolation part-IX (Hermite's interpolation with examples)
  • session 25: Numerical differentiation part-I (Introduction to numerical differentiation by interpolation formula)
  • part 6: Week 6
  • session 26: Numerical differentiation part-II (Numerical differentiation based on Lagrange’s interpolation with examples)
  • session 27: Numerical differentiation part-III (Numerical differentiation based on Divided difference formula with examples)
  • session 28: Numerical differentiation part-IV (Maxima and minima of a tabulated function and differentiation errors)
  • session 29: Numerical differentiation part-V (Differentiation based on finite difference operators)
  • session 30: Numerical differentiation part-VI (Method of undetermined coefficients & Derivatives with unequal intervals)
  • part 7: Week 7
  • session 31: Numerical Integration part-I (Methodology of Numerical Integration & Rectangular rule )
  • session 32: Numerical Integration part-II (Quadrature formula and Trapezoidal rule with associated errors)
  • session 33: Numerical Integration part-III (Simpsons 1/3rd rule with associated errors)
  • session 34: Numerical Integration part-IV (Composite Simpsons 1/3rd rule & Simpsons 3/8th rule with examples)
  • session 35: Numerical Integration part-V (Gauss Legendre 2-point and 3-point formula with examples)
  • part 8: Week 8
  • session 36: Introduction to Ordinary Differential equations
  • session 37: Numerical methods for ODE-1
  • session 38: Numerical Methods-II
  • session 39: R-K Methods for solving ODEs
  • session 40: Multi-step Method for solving ODEs

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