Use of new analytical methods in water resource development
University of Texas at Austin. Dept. of Mechanical Engineering, United States. Federal Water Quality Administration
U.S. Federal Water Quality Administration, 1970 - Mathematics - 13 pages
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account the interacting actually the predominant affect the circumstances August 31 branch compression method branched multistage systems Branching Systems C. S. Beightler complex problem computer program Control Research Reports Cyclic and Branching decision variable dimensionality downstream reservoirs dynamic programming algorithms effects are actually equivalent serial process example problem Federal Water Quality finding the optimal flow data functions Geometric Programming gives the optimum interacting effects intercoupled staging structure linear linear programming location of proposed location of reservoirs Mathematical Analysis mathematical model Nemhauser non-linear non-serial dynamic programming Nonserial Multistage number of recently optimal plan optimization method parameters partial derivatives Pollution Control Research predominant characteristics proposed project immediately proposed reservoirs research project reservoir design reservoir system design result river basin system serial structure simulation solved stochastic superposition principle take into account Texas at Austin type of problem University of Texas Water Pollution Water Pollution Control Water Quality Administration Water Resource Development water resource systems