Lecture 28, Improved Euler and Runge Kutta Methods
15:36
Lecture 28, Improved Euler and Runge Kutta Methods
Lecture 27, Intro to Num Sol of ODEs , Euler Method
31:35
Lecture 27, Intro to Num Sol of ODEs , Euler Method
Lecture 26, Power and Inverse Power method to find largest and smallest E values and vectors
25:17
Lecture 26, Power and Inverse Power method to find largest and smallest E values and vectors
Lecture 25, Application of E Value probs, Gerschgorin Theorem, inclusion of e values
34:18
Lecture 25, Application of E Value probs, Gerschgorin Theorem, inclusion of e values
Lecture 24, Intro to Eigenvalue Problems
9:05
Lecture 24, Intro to Eigenvalue Problems
Lecture 23, Ill and well condition systems, Condition no
21:19
Lecture 23, Ill and well condition systems, Condition no
Lecture 22, Gauss Seidel Algo and Convergence
28:36
Lecture 22, Gauss Seidel Algo and Convergence
Lecture 21, Jacobi and Gauss Seidel Iterative Mehods
26:30
Lecture 21, Jacobi and Gauss Seidel Iterative Mehods
Lecture 20, Crout and Cholesky method
33:11
Lecture 20, Crout and Cholesky method
Lecture 19, Column pivoting, LU decompositiond methods, Doolittle method
31:11
Lecture 19, Column pivoting, LU decompositiond methods, Doolittle method
Lecture 18, Linear system of Eqn , Gauss Elimination, Partial pivoting
24:45
Lecture 18, Linear system of Eqn , Gauss Elimination, Partial pivoting
Lecture 17, Newton Cote's formula and Gauss Quadrature Integ
19:27
Lecture 17, Newton Cote's formula and Gauss Quadrature Integ
Lecture 16, Simpson one third example, Simpson three eighth rule, Prof S Chakraverty Lecture 16
27:26
Lecture 16, Simpson one third example, Simpson three eighth rule, Prof S Chakraverty Lecture 16
Lecture 15, Trapezoidal Integ Error Bound, Simpson one third rule, Prof S Chakraverty Lecture 15
43:16
Lecture 15, Trapezoidal Integ Error Bound, Simpson one third rule, Prof S Chakraverty Lecture 15
Lecture 14, Numerical Integration Rectangular and Trapezoidal Prof S Chakraverty
37:14
Lecture 14, Numerical Integration Rectangular and Trapezoidal Prof S Chakraverty
Lecture 13, Cubic Spline continued with example Prof S Chakraverty
25:01
Lecture 13, Cubic Spline continued with example Prof S Chakraverty
Lecture 12, Finite Diff Operators+ Cubic Spline TheoryProf S Chakraverty
37:29
Lecture 12, Finite Diff Operators+ Cubic Spline TheoryProf S Chakraverty
Lecture 11, Newton's Back ward Diff Interpolation Prof S Chakraverty
35:21
Lecture 11, Newton's Back ward Diff Interpolation Prof S Chakraverty
Lecture 10: Newton's Forward Diff. Interpolation, Backward diff. interpolation Prof S Chakraverty
37:23
Lecture 10: Newton's Forward Diff. Interpolation, Backward diff. interpolation Prof S Chakraverty
Lecture 09 : Newton's Divided Int continued, Newton's forward Diff Int: Prof S Chakraverty
31:05
Lecture 09 : Newton's Divided Int continued, Newton's forward Diff Int: Prof S Chakraverty
Lecture 08:Lagrange interpolation continued, Newton's Divided Difference : Prof. S. Chakraverty
40:20
Lecture 08:Lagrange interpolation continued, Newton's Divided Difference : Prof. S. Chakraverty
Lecture 07 : Interpolation basics and Lagrange interpolation : Prof S Chakraverty
43:58
Lecture 07 : Interpolation basics and Lagrange interpolation : Prof S Chakraverty
Lecture 06 : Convergence of Secant Method, System of nonlinear eqns.: Prof. S. Chakraverty
39:31
Lecture 06 : Convergence of Secant Method, System of nonlinear eqns.: Prof. S. Chakraverty
Lecture 05 : Root finding methods continued, Order of convergence, advantages, Limitations
34:37
Lecture 05 : Root finding methods continued, Order of convergence, advantages, Limitations
Lecture 04 : Root finding methods continued....: Prof. S. Chakraverty
36:42
Lecture 04 : Root finding methods continued....: Prof. S. Chakraverty
Lecture 03 : Root finding methods: Prof. S. Chakraverty
41:10
Lecture 03 : Root finding methods: Prof. S. Chakraverty
Lecture 02 : Error Propagation, Error bounds and iterative method
39:04
Lecture 02 : Error Propagation, Error bounds and iterative method
Lecture 01 : Introduction to Numerical Analysis (Why, what, how, errors, significant digits etc.)
36:21
Lecture 01 : Introduction to Numerical Analysis (Why, what, how, errors, significant digits etc.)
Fuzzy functions - Lecture 22 By Prof S Chakraverty
36:08
Fuzzy functions - Lecture 22 By Prof S Chakraverty
Integration and differentiation of fuzzy functions - Lecture 23 By Prof S Chakraverty
22:17
Integration and differentiation of fuzzy functions - Lecture 23 By Prof S Chakraverty