Solution of Ordinary differential Equations, Optimization Models in Operations Research Linear and Non-linear models, Simplex Search for Linear Programming, Duality and Sensitivity in Linear Programming, Multi-objective Optimization and Goal Programming, Unconstrained Nonlinear Programming, Selected Methods for Constrained Nonlinear Programming: Lagrange Multiplier Methods and Penalty and Barrier Methods. New optimization techniques
Artificial Intelligence 132 CRs
Onwubolu G., Babu B., New Optimization Techniques in Engineering, Springer
content serial | Description |
---|---|
1 | Introduction |
2 | Solution of Ordinary differential equations |
3 | Optimization Models in Operations Research |
4 | Linear and Non-linear models |
5 | Simplex Search for Linear Programming |
6 | Duality and Sensitivity in Linear Programming |
7 | Multi-objective Optimization and Goal Programming |
8 | Unconstrained Nonlinear Programming |
9 | Selected Methods for Constrained Nonlinear Programming and Penalty |
10 | Lagrange Multiplier Methods |
11 | Barrier Methods |
12 | Tabular vs. recursive-descent parsers |
12 | Tabular vs. recursive-descent parsers |
13 | Error handling and Run-time Environment |
14 | Code generation |
15 | Code Optimization |
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