Application of Stochastic Processes to Summarize Dynamic Programming Solutions
Department of Agricultural Economics, Texas Agricultural Experiment Station, Texas A&M University System, 1991 - Agriculture - 120 pages
What people are saying - Write a review
We haven't found any reviews in the usual places.
Determination of Sets Within a Transition Matrix
Processes with Multiple Transition Matrices
absorbing Alphanumeric anuxquoo binary matrix Burt and Allison check for convergence computer storage contains a single convergent decision rule curse of dimensionality discussion DP models duraq Dynamic Programming E(NR equals zero ergodic and transient ergodic matrix existence of unique expected long run Expected LRYNR FORTRAN program given initial conditions integer jxpua asxa Kemeny and Snell lake level example limiting probability vector Markov process Mjelde multiple transition matrices number of iterations occupancy probabilities occupancy vectors oq 0g output P2 matrices period PI and P2 post-multiplied power-multiplication method probability vectors exist process with multiple regular ergodic set regular matrix requires row-by-row examination method run net returns Schnitkey set containing single ergodic set single regular ergodic single set ergodic soil moisture stage stochastic process switch3 Texas A&M University TRAN.ONE TRAN.TWO transient set transition matrix file transition probability matrix transitiuo matrices uado uaqq unique limiting probability updating yearly net returns