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Dear Vara Prasad,
Good start. Scope for further improvement.
This helps me to understand your progress and I can give right kind of direction.
Some feedback about introduction to Stochastic Programming.
Out of 5 key points you have mentioned only two (point 2 &3) can qualify as key points.
Importantly you should present the how stochastic aspects and the treatment of objective function are captured in the mathematical model compared to a deterministic model as key points.
Please continue with the rest of the topics as per our original plan. I’ll give appropriate feedback.
Thanks, Raghava Rau.
Fr om : karu vara prasad [mailto:[email protected]] Sen t: Tuesday, September 15, 2009 3:22 PM To: RAU, Dr K RAGHAVA Su bje ct : modified day_1
hi sir, i modified day_1 mateer pls give ur advice on this Date: Day_1 Title: Introduction to Stochastic Programming (SP)
Key points 1. Stochastic Programming(SP) is one of the mathematical programming tool 2. Problems with uncertainity decisions can be solved by SP. 3. Probability distribution also plays a vital role in SP 4. Feasible solutions can be easily achieved. 5. SP problems are similar to multi-stage Linear Programming (LP) Stochastic programming models are similar to Linear Programming problems involving much of probability distribution and which can be used to solve uncertainity problems to feasible solutions. In SP technique, basically, we first formulate, solve analytically or numerically, to achieve optimal values. Depending upon the number of constraints and depth of uncertainity that is present in the problem it can be formulated under multi-stage Linear Programs. thank u sir bye sir
Good start. Scope for further improvement.
This helps me to understand your progress and I can give right kind of direction.
Some feedback about introduction to Stochastic Programming.
Out of 5 key points you have mentioned only two (point 2 &3) can qualify as key points.
Importantly you should present the how stochastic aspects and the treatment of objective function are captured in the mathematical model compared to a deterministic model as key points.
Please continue with the rest of the topics as per our original plan. I’ll give appropriate feedback.
Thanks, Raghava Rau.
Fr om : karu vara prasad [mailto:[email protected]] Sen t: Tuesday, September 15, 2009 3:22 PM To: RAU, Dr K RAGHAVA Su bje ct : modified day_1
hi sir, i modified day_1 mateer pls give ur advice on this Date: Day_1 Title: Introduction to Stochastic Programming (SP)
Key points 1. Stochastic Programming(SP) is one of the mathematical programming tool 2. Problems with uncertainity decisions can be solved by SP. 3. Probability distribution also plays a vital role in SP 4. Feasible solutions can be easily achieved. 5. SP problems are similar to multi-stage Linear Programming (LP) Stochastic programming models are similar to Linear Programming problems involving much of probability distribution and which can be used to solve uncertainity problems to feasible solutions. In SP technique, basically, we first formulate, solve analytically or numerically, to achieve optimal values. Depending upon the number of constraints and depth of uncertainity that is present in the problem it can be formulated under multi-stage Linear Programs. thank u sir bye sir
