2016-10-28

C. Balaji: Design and Optimization of Energy Systems (IIT Madras)

# playlist of the 40 videos (click the up-left corner of the video)

source: nptelhrd    2011年11月23日
Mechanical - Design and Optimization of Energy Systems by Prof. C. Balaji, Department of Mechanical Engineering, IIT Madras. For more details on NPTEL visit http://nptel.iitm.ac.in

01 Introduction to Optimization 50:13
02 System Design and Analysis 38:36
03 Workable system 40:51
04 System simulation 52:21
05 Information flow diagrams 36:32
06 Successive substitution method 49:57
07 Successive substitution method contd... 45:57
08 Successive substitution method and Newton-Raphson method 41:23
09 Newton-Raphson method contd... 40:04
10 Convergence characteristics of Newton-Raphson method 43:51
11 Newton-Raphson method for multiple variables 46:55
12 Solution of system of linear equations 48:10
13 Introduction to Curve fitting 46:00
14 Example for Lagrange interpolation 44:56
15 Lagrange interpolation contd... 45:43
16 Best fit 48:39
17 Least Square Regression 47:40
18 Least Square Regression contd..... 48:16
19 Least Square Regression contd..... 45:02
20 Non-linear Regression (Gauss - Newton Algorithm) 54:59
21 Optimization- Basic ideas 49:24
22 Properties of objective function and cardinal ideas in optimization 45:16
23 Unconstrained optimization 29:57
24 Constrained optimization problems 44:30
25 Mathematical proof of the Lagrange multiplier method 45:32
26 Test for Maxima/ Minima 49:11
27 Handling in-equality constraints 39:44
28 Kuhn-Tucker conditions contd... 51:30
29 Uni-modal function and search methods 51:10
30 Dichotomous search 49:18
31 Fibonacci search method 54:29
32 Reduction ratio of Fibonacci search method 50:06
33 Introduction to multi-variable optimization 50:42
34 The Conjugate gradient method 42:15
35 The Conjugate gradient method contd... 43:21
36 Linear programming 52:38
37 Dynamic programming 51:41
38 Genetic Algorithms 54:52
39 Genetic Algorithms contd... 58:16
40 Simulated Annealing and Summary 1:19:51

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