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Studi Tentang Penyelesaian Program Linier Stokastik Dengan Markov Chain

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DAFTAR PUSTAKA

Adke S dan Deshmukh D (1988)Limit Distribution of a High Order Markov Chain, Journal of Royal Statistical Society, Series B, 50:105-108.

Altman,E, (2008)Constrained cost-coupled stochastic games with independent state processes, Operation Research Letter 36:160-164.

Billingsley, P. (1995). Prob. and measure, (Third ed.). New York, NY: Wiley-Interscience.

Bhat, U. Nurayan,”Element of Applied Stochastic Processes and markov Chain”, John Wiley and Sons, Inc., Canada, 1984.

Boris D, Damien E dan Louis W (2001). Multistage Stochastic Programming: A Scenario Tree Based Approach to planning under Uncertainty, European Journal of Opertional Research, 15-22, B-4000 Liege, Belgium.

Bronson, Richard,”Theory and Problems of Operations Research”, Mc. Graw Hill, Inc., 1982.

Buchholz P. (1995)Equivalence Relations for Stochastic Automata Networks. Com-putations of Markov chains: Proceedings of the 2nd international workshop On numerical solutions of Markov chains. Kluwer, 197-216.

Bunke H dan Caelli T (2001) Hidden Markov models: applications in computer vision, Editors, Horst Bunke, Terry Caelli, Singapore, World Scientific.

Chan R dan Ching W (2005) Boundary Value Methods for Solving Transient So-lutions of Markovian Queueing Networks, Journal of Applied Mathematics and Computations. to appear, 288-294

Ching W, Fung E dan Ng M (2002)A Multivariate Markov Chain Model for Cate-gorical Data Sequences and Its Applications in Demand Predictions, IMA Journal of Management Mathematics, 13:187-199.

Ching W, Fung E dan Ng M (2003)A Higher-order Markov Model for the Newsboy’s Problem, Journal of Operational Research Society, 54:291-298.

Ching W dan Ng M. (2004)Building Simple Hidden Markov Models, International Journal of Mathematical Education in Science and Engineering, 35:295-299.

Ching W, Ng M dan Wong K (2003) Higher-order Markov Decision Process and Its Applications in Customer Lifetime Values, The 32nd International Con-ference on Computers and Industrial Engineering, Limerick, Ireland 2:821-826.

42

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43

Ching W, Ng M, ”Markov Chains: Models Algorithms and Applications”, Hongkong, P.R. China, 2006

Dempster, M. A. H., Pflug, G.,Mitra, G. (Eds.). (2008). Quantitative Fund Ma-nagement. Boca Raton, FL: Chapman,Hall/CRC.

Frantzeskakis L. F. dan Powell W. B. (1989) An improved polynomial bound for the expected network recourse function. Technical report, Statistics and O-perations Research Series, SOR-89-23, Princeton University, Princeton, New Jersey.

Hoffman A. J. (1960) Some recent applications of the theory of a multivariate random variable, Proc. Symp. Appl. Math. 10:113-128.

Krajewski, Lee J.,” Linier Programming and Extensions”, Mc. Graw-Hill, Inc., 1981.

P. Kall, dan Wallace W Stein ,”Stohastic Programming”, NewYork, 1994.

P. Kall dan J. Mayer. (2000)On the role of bounds in stochastic linear programming. Optimization, European Journal of Operational Research, 47:287-301.

Kouwenberg, RRP, (2001).Scenario generation and stochastic programming models for asset liability management, European Journal of Opertional Research 134(2), 51-64.

Pomar, J. (2003)A Markov Decision Sow Model Representing the Productive Lifes-pan of Herd Sows, Agricultural Systems.76, 253-272.

Lechuga, P Surez, (2006).Stochastic linier programming to optimize some stochas-tic systems. European Journal of Operational Research, 313-318.

Lu L, Ching W dan Ng M (2004) Exact Algorithms for Singular Tridiagonal Sys-tems with Applications to Markov Chains, Journal of Applied Mathematics and Computation, 159:275-289.

Mulvey J. M. dan Vladimirou H. (1989) Evaluation of a parallel hedging algorithm for stochastic network programming. In Sharda R., Golden B. L., Wasil E., Balci O., and Stewart W. (eds) Impact of Recent Computer Advances on Operations Research, 106-119. North- Holland, New York.

Mulvey J. M. dan Vladimirou H. (1991)Applying the progressive hedging algorithm to stochastic generalized networks. Ann. Oper. Res. 31:399- 424.

Olafsson, Sigurdur., ” Introduction to Stochastic Analysis”, NewYork, 2000.

Ross, Sheldon M.,”Stochastic Processes”, John Wiley and Sons, Canada, 1983.

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44

Meyn S dan Tweedie L Richard., Markov Chain and Stochastic Stability”, Cam-bridge. 2009.

Taha, Hamdy A.,” Operations Research An Introduction”, Macmillan Publ.,Co., New York, 1992.

Wallace S. W. (1986)Solving stochastic programs with network recourse. Networks 16:295-317.

Wallace S. W. dan Wets Rockafellar. (1995) Preprocessing in stochastic program-ming: The case of capacitated networks. Comp. 7:44-62.

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