Design and Optimization of Energy System

Total Lectures


Mod-01 Lec-01 Introduction to Optimization


Mod-01 Lec-01 Introduction to Optimization
Mod-01 Lec-02 System Design and Analysis
Mod-01 Lec-03 Workable system
Mod-01 Lec-04 System simulation
Mod-01 Lec-05 Information flow diagrams
Mod-01 Lec-06 Successive substitution method
Mod-01 Lec-07 Successive substitution method contd...
Mod-01 Lec-08 Successive substitution method and Newton-Raphson method
Mod-01 Lec-09 Newton-Raphson method contd...
Mod-01 Lec-10 Convergence characteristics of Newton-Raphson method
Mod-01 Lec-11 Newton-Raphson method for multiple variables
Mod-01 Lec-12 Solution of system of linear equations
Mod-01 Lec-13 Introduction to Curve fitting
Mod-01 Lec-14 Example for Lagrange interpolation
Mod-01 Lec-15 Lagrange interpolation contd...
Mod-01 Lec-16 Best fit
Mod-01 Lec-17 Least Square Regression
Mod-01 Lec-18 Least Square Regression contd.....
Mod-01 Lec-19 Least Square Regression contd.....
Mod-01 Lec-20 Non-linear Regression (Gauss - Newton Algorithm)
Mod-01 Lec-21 Optimization- Basic ideas
Mod-01 Lec-22 Properties of objective function and cardinal ideas in optimization
Mod-01 Lec-23 Unconstrained optimization
Mod-01 Lec-24 Constrained optimization problems
Mod-01 Lec-25 Mathematical proof of the Lagrange multiplier method
Mod-01 Lec-26 Test for Maxima/ Minima
Mod-01 Lec-27 Handling in-equality constraints
Mod-01 Lec-28 Kuhn-Tucker conditions contd...
Mod-01 Lec-29 Uni-modal function and search methods
Mod-01 Lec-30 Dichotomous search
Mod-01 Lec-31 Fibonacci search method
Mod-01 Lec-32 Reduction ratio of Fibonacci search method
Mod-01 Lec-33 Introduction to multi-variable optimization
Mod-01 Lec-34 The Conjugate gradient method
Mod-01 Lec-35 The Conjugate gradient method contd...
Mod-01 Lec-36 Linear programming
Mod-01 Lec-37 Dynamic programming
Mod-01 Lec-38 Genetic Algorithms
Mod-01 Lec-39 Genetic Algorithms contd...
Mod-01 Lec-40 Simulated Annealing and Summary
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