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 20 of 84 for “"Dynamic Optimization"”.
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Global dynamic optimization
… exact state bounds for the solution of a linear dynamic system. Given a nonzero tolerance, the method is rigorously shown to converge to the global solution in a finite time. An implementation is developed, and via a collection of case studies, the technique is shown to be very efficient in …
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Dynamic Optimization in Hardware
… the relationship between well-known compiler optimization concepts and hardware-implemented optimizations. We define and explore two hardware-centric dynamic optimization paradigms: continuous optimization and discrete optimization. Continuous optimization optimizes instructions in the …
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Dynamic optimization with path constraints
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemical Engineering, 1998.
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Dynamic optimization of interpreters using DynamoRIO
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Data-driven dynamic optimization with auxiliary covariates
Optimization under uncertainty forms the foundation for many of the fundamental problems the operations research community seeks to solve. In this thesis, we develop and analyze algorithms that incorporate ideas from machine learning to optimize uncertain objectives directly from data. In the first …
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Stochastic Dynamic Optimization and Games in Operations Management
… consists of three essays that analyze stochastic dynamic optimization models and game models in operations management.</p><p>Markov decision processes (MDPs) and sequential games are good models of many real sequential decision processes. However, in diverse applications in operations research and …
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Dynamic optimization in the age of big data
This thesis revisits a fundamental class of dynamic optimization problems introduced by Dantzig (1955). These decision problems remain widely studied in many applications domains (e.g., inventory management, finance, energy planning) but require access to probability distributions that are rarely …
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Dynamic optimization if IA-32 applications under DynamoRIO
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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Nonsmooth dynamic optimization of systems with varying structure
In this thesis, an open-loop numerical dynamic optimization method for a class of dynamic systems is developed. The structure of the governing equations of the systems under consideration change depending on the values of the states, parameters and the controls. Therefore, these systems are called …
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Dynamic optimization of fractionation schedules in radiation therapy
… the improvement in treatment effectiveness when dynamically optimizing the fractionation scheme in radiation therapy. In the first part of the thesis, we consider delivering a different dose each day depending on the observed patient anatomy. Given that a fixed prescribed dose must be delivered …
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Essays on Dynamic Optimization for Forest Resource Management
The dissertation consists of three essays in forestry resource management, with focuses on investigating the ecosystem collapse and invasive species control problems. The first two papers consider the shift from primary forests to cleared land and secondary forests in the context of deforestation. …
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Dynamic optimization of two methods of the long jump
… hitchkick and hang. Using video data, I made a dynamic model of both techniques, then created a cost function that took torques and angles into consideration to simulate physical limitations. Using a function minimizing optimizer, trajectories were simulated over a range of torque limits and …
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Long-term commitments, dynamic optimization, and the business cycle.
Thesis (Ph. D)--Massachusetts Institute of Technology, Dept. of Economics, 1979.
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Dynamic optimization through the use of automatic runtime specialization
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1999.
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Dynamic optimization under uncertainty: Applications in engineering, manufacturing, and retail.
L'abstract è presente nell'allegato / the abstract is in the attachment
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A control-theoretic approach to dynamic optimization of metabolic networks
… control principles that underpin metabolic dynamics is an important part of systems analysis in biology. It has been long argued that many biological regulatory mechanisms have evolved so as to optimize cellular adaptation in response to external stimuli. In this thesis we use an optimal …
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Application of dynamic optimization methods for foam floods in stratified reservoirs
… injection strategy is investigated. Two main optimization techniques are tested: static optimization, where the injection parameters are set once at the beginning of the simulation, and dynamic optimization, where injection parameters are optimized in five-year intervals over the life of the …
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New numerical methods for open-loop and feedback solutions to dynamic optimization problems
… of the first part of this research is trajectory optimization of dynamical systems via computational swarm intelligence. Particle swarm optimization is a nature-inspired heuristic search method that relies on a group of potential solutions to explore the fitness landscape. Conceptually, each …
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A Langrangian decomposition approach to weakly coupled dynamic optimization problems and its applications
… based approach to decoupling weakly coupled dynamic optimization problems for both finite and infinite horizon problems. The main contributions of this dissertation are: (i) We develop methods for obtaining bounds on the optimal cost based on solving low dimensional dynamic programs; (ii) We …
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Stochastic dynamic optimization approach for revegetation of reclaimed mine soils under uncertain weather regime
… a comprehensive physically based stochastic dynamic optimization model to assist planners in making decisions concerning mine soil depths and soil mixture ratios required to achieve successful revegetation of mined lands at different probability levels of success, subject to an uncertain …
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