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Many of our company’s projects have involved the practical application of operations research and applied mathematics including optimization theory, dynamic programming, linear and nonlinear programming, Bayesian networks, optimal control, and applied probability models. InforSim has specialized in using these advanced techniques and taking a system engineering approach to applied problems in ocean-related engineering and science. We have a background in the aerospace industry and have adapted the industry's sophisticated systems analysis methodology for formulating and solving problems.
As an example, InforSim has developed and applied original nonlinear program formulations to treat the fish population impact problem (see illustration). Parameters in the dynamic simulation model are treated as variables and the maximum (and minimum) change to the population level is the objective function. Implicit and explicit constraints are placed on model variables based on available experimental data and field observations of the population. The nonlinear programming problem is solved using state-of-the-art computational algorithms adapted for each application.
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