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Generating Random Variables
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applications array assumed base level basin boundary cells calculated channel Chapter coefficients column computer program concentration constant constraints curve defined delta deposition depth derived described diagram differential equations diffusion diffusion equation dimensions dynamic elements employing erosion evaporite example factors finite-difference fluid FORTRAN program frequency distribution Gauss-Seidel method graph grid half-mass Harbaugh histogram hypothetical illustrate increment initial input integer involves iterations Krumbein Laplace equation linear programming listed in Table Markov chains Markov property mass mathematical meshwork methods normal distribution numerical solution objective function obtained optimization output parameters pertains population potential flow problem processes pseudorandom pseudorandom numbers random numbers relationships represented salt sand sandstone sediment sedimentary rocks shale shown in Figure simulation models slack variables slope solving statistical step stochastic stratigraphic sequence stream subroutine subsidence surface thickness tion transition matrix transition probabilities transition-probability two-dimensional values vector velocity components velocity potential x-direction zero