- Solve Ordinary differential equations.
- Use mathematical models in which one seeks to minimize or maximize an objective function subject to constraints.
- Solve linear programming problems.
Bachelor of Computer Science - 132 CRs
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content serial | Description |
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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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