Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"stochastic constraints"”.
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Stochastic constraints for vision-aided inertial navigation
… improve inertial navigation using feature-based constraints from one or more video cameras. The proposed method lengthens the period of time during which a human or vehicle can navigate in GPS-deprived environments. Our approach integrates well with existing navigation systems, because we invoke …
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Enabling the “Easy Button” for Broad, Parallel Optimization of Functions Evaluated by Simulation
… an optimization model with deterministic and/or stochastic constraints, choose one or more metaheuristics to solve it and run, using massively parallel function evaluation to reduce wall-clock times. </p> <p>JOBS is supported by a new language independent, application programming interface (API) …
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Venture : an extensible platform for probabilistic meta-programming
… of probabilistic model programs. The second, stochastic inference meta-programs identify probable executions of model programs given stochastic constraints, and typically use density meta-programs as guides. Unlike other probabilistic programming platforms, Venture allows model programs, …
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Computer assisted application of stochastic structuring techniques in musical composition and control of digital sound synthesis systems
… compositions of the author. These are based on stochastic generative schemes. The examples cited develop across the spectrum of complexity, ranging from the application of simple probability distributions through to intricate structures of interrelated stochastic constraints under the control of …
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Managing ground water contamination from agricultural nitrates
… Virginia. A mixed integer programming model with stochastic constraints on nitrate loading to ground water and silage production was used to simulate the impacts of various nitrate loading reduction strategies on estimated farm level net returns over variable costs. A survey of all dairy …
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Sampling Laws for Stochastically Constrained Simulation Optimization on Finite Sets
… a finite set of competing systems, based on a "stochastic" objective function and subject to multiple "stochastic" constraints. In this context, we characterize the asymptotically optimal sample allocation that maximizes the rate at which the probability of false selection tends to zero in two …
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Stochastically Constrained Simulation Optimization On Mixed-Integer Spaces
… the problem of identifying solutions to a stochastic system under multiple constraints. The objective function and the constraints are expressed in terms of performance measures of the system that are observable only via a simulation model parameterized by a finite number of decision …
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On the analysis of stochastic optimization and variational inequality problems
… considers the analysis of a broad class of stochastic optimization and variational inequality problems complicated by uncertainty and nonsmoothness of objective functions. Nash games and variational inequalities have assumed practical relevance in industry and business settings because they …