PROBABILISTIC MODELS
IN COMBINATORIAL OPTIMIZATION


Probability Theory


[1] K.L. Chung, Markov Chains with Stationary Transition Probabilities, Springer Verlag, Berlin, 1960.

[2] C. Derman, Finite State Markovian Decision Processes, Academic Press, New York, 1970.

[3] C. Derman and M. Klein, Probability and Statistical Inference for Engineers, Oxford University Press, New York, 1959.

[4] W. Feller, An Introduction to Probability Theory and its Applications, vol. 1, 2nd ed., John Wiley & Sons, New York, 1957.

[5] F.S. Hillier and G.J. Lieberman, Operations Research, CBS Publishers, New Delhi, 1974.

[6] R. Howard, Dynamic Programming and Markov Processes, MIT Press, Cambridge, Mass., 1960.

[7] J.C. Kemeny and J.L. Snell, Finite Markov Chains, Van Nostrand, New York, 1959.

[8] P.L. Meyer, Introductory Probability and Statistical Applications, Addison-Wesley, Reading, Mass., 1965.

[9] E. Parzen, Modern Probability Theory and Its Applications, John Wiley & Sons, New York, 1960.

[11] S. Ross, Introduction to Probability Models, Academic Press, New York, 1972.

[11] A. Taha Hamdy, Operations Research An Introduction, Prentice Hall, New Delhi, 1999.