Learn · Water Resources Systems : Modeling Techniques and Analysis
Lecture 14 of 40Dynamic Programming
Introduction to Dynamic Programming
Prof. P.P. Mujumdar · IISc Bangalore
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- Water Resources Systems : Modeling Techniques and Analysis, IISc Bangalore (at NPTEL)
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All the lectures
- Introduction
- Definitions and types of systems
- Optimization: Functions of a single variable
- Optimization: Functions of multiple variables
- Constrained optimization (1)
- Constrained optimization (2)
- Kuhn-Tucker conditions and Introduction to Linear Programming
- Linear Programming: Graphical method
- Linear Programming: Simplex method (1)
- Linear Programming: Simplex method (2)
- Linear Programming: Multiple solutions
- Linear Programming: Unbounded and infeasible problems
- Linear Programming: Dual problem
- Introduction to Dynamic Programming
- Dynamic Programming: Water allocation problem
- Dynamic Programming: Reservoir operation problem
- Dynamic Programming: Capacity expansion and shortest route problems
- Simulation: Introduction to Multi-objective planning
- Multi-objective planning
- Reservoir sizing
- Reservoir capacity using Linear Programming (1)
- Reservoir capacity using Linear Programming (2)
- Reservoir operation
- Multi-reservoir systems
- Stationary policy using Dynamic Programming
- Hydropower generation
- Basic probability theory (1)
- Basic probability theory (2)
- Chance constrained Linear Programming for reservoir operation and design (1)
- Chance constrained Linear Programming for reservoir operation and design (2)
- Stochastic Dynamic Programming for reservoir operation (1)
- Stochastic Dynamic Programming for reservoir operation (2)
- Stochastic Dynamic Programming for reservoir operation (3)
- Fuzzy optimization (1)
- Fuzzy optimization (2)
- Fuzzy optimization for water quality control and reservoir operation
- Conjunctive use of ground and surface water
- Hydropower optimization
- Crop yield optimization
- Multi-basin and multi-reservoir systems