000 00372nam a2200145Ia 4500
999 _c170255
_d170255
020 _a9781402074547
040 _cCUS
082 _a519.6
_bGOS/S
100 _aGosavi, Abhijit
245 0 _aSimulation-based optimization: parametric optimization techniques and reinforcement learning/
_cAbhijit Gosavi
260 _aBoston:
_bKluwer Academic Publishers,
_c2003.
300 _axxvii, 554 p. :
_bill. ;
_c24 cm.
440 _a(Operations research/computer science interfaces series)
505 _a1. Background -- 2. Notation -- 3. Probability Theory: A Refresher -- 4. Basic Concepts Underlying Simulation -- 5. Simulation Optimization: An Overview -- 6. Response Surfaces and Neural Nets -- 7. Parametric Optimization -- 8. Dynamic Programming -- 9. Reinforcement Learning -- 10. Markov Chain Automata Theory -- 11. Convergence: Background Material -- 12. Convergence: Parametric Optimization -- 13. Convergence: Control Optimization -- 14. Case Studies -- 15. Codes -- 16. Concluding Remarks.
650 _aMathematical optimization
650 _aProbabilities
650 _aMathematics
942 _cWB16