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 567 for “"optimal solution"”.
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Optimal Solution to the Two-Dimensional Scattering Problem
Made available in DSpace on 2014-12-10T19:06:41Z (GMT). No. of bitstreams: 1 7121099.pdf: 5660101 bytes, checksum: 434a7e25f3404d3ddde4048f70d06db2 (MD5) Previous issue date: 1971
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Towards optimal solution techniques for large eigenproblems in structural mechanics
Thesis (Sc.D.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1980.
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Is nuclear power a cost optimal solution for Kenya's electricity generation mix?
In 2010, the adoption of nuclear power was declared a national priority in Kenya. Thereafter, a target of obtaining 4000 MW of nuclear power by the year 2030 was documented in Kenya's Least Cost Power Development Plan (LCPDP) 2010-2031. The nuclear target has drawn a lot of opposition from some …
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Integer Programming With Groebner Basis
… are difficult to solve. The goal is to find an optimal solution that minimizes cost. With the help of Groebner based algorithms the optimal solution can be found if it exists. The application of the Groebner based algorithm and how it works is the topic of research. The Algorithms are The …
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Digital pre-compensation for faulty D/A converters : the "missing pixel" problem
… uses constrained minimization to calculate the optimal finite-length compensation signal. We develop a closed-form solution using the method of Lagrange multipliers. Next, we develop an approximation to the optimal solution using discrete prolate spheroidal sequences. We show that the optimal …
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Faster fully polynomial approximation schemes for Knapsack problems
… scheme (FPTAS) is an algorithm that returns ... -optimal solution to a maximization problem of size n, which runs in polynomial time in both ... We develop faster FPTASs for several classes of knapsack problems. In this thesis, we will first survey the relevant literature in FPTASs for knapsack …
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Multi-criteria decision making using reinforcement learning and its application to food, energy, and water systems (FEWS) problem
… automata algorithm is used to identify an optimal solution in the presence of single and multiple environments (criteria) using pareto optimality. The application of this model is also discussed, where the model provides an optimal solution to the food, energy, and water systems (FEWS) …
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Decoding algorithms for complex natural language tasks
… (NLP) tasks. The goal of decoding is to find an optimal or near optimal solution given a model that defines the goodness of a candidate. The task is challenging because in a typical problem the search space is large, and the dependencies between elements of the solution are complex. The goal of …
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BUBLS : a mixed integer program for transit centre location in the Lower Mainland
… model is developed to determine both the optimal location of transit centres to serve BC Transit's Lower Mainland route network and the optimal allocation of buses to those centres. The existing five transit centres are explored as well as five candidate facilities. The model considers …
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Simulation Of Random Set Covering Problems With Known Optimal Solutions And Explicitly Induced Correlations Amoong Coefficients
… Set Covering Problem (SCP) instances with known optimal solutions and correlated coefficients. The procedure presented in this work can generate a virtually unlimited number of SCP instances with known optimal solutions and realistic characteristics, thereby facilitating testing of the …
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An Approach to Real Time Adaptive Decision Making in Dynamic Distributed Systems
… operation of a dynamic system requires (near) optimal real-time control decisions. Those decisions depend on a set of control parameters that change over time. Very often, the optimal decision can be made only with the knowledge of future values of control parameters. As a consequence, the …
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Exact geometry algorithms for robotic motion planning
… that can almost always identify the exact optimal solution as a system of differential equations, which can be numerically solved to produce an asymptotically-optimal solution.
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Inventory positioning for a multi-echelon distribution network
… The total cost and responsiveness of the optimal solution are compared with the baseline network, in which inventory is completely decentralized. Our analysis is performed using several products that have diverse characteristics, in terms of demand patterns, lead-times, product costs, …
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A systems approach to evaluate water quality oriented land management plans
… and agricultural production constraints. A postoptimality analysis was performed on the optimal solution to examine the effects of variations in: (1) income levels representing subsidy, and (2) sediment coefficients. The optimal solution was found to be insensitive to reductions in income levels …
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Modeling and Control of Complex Stochastic Networks, With Applications to Manufacturing Systems and Electric Power Transmission Networks
… power transmission networks, we characterize the optimal amount of generation capacity to hold in reserve. The optimal solution indicates precisely how reserves must be adjusted according to environmental factors including the variability of power demand, and the ramping-rate constraints on …
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Cost Optimization Modeling for Airport Capacity Expansion Problems in Metropolitan Areas
… develop a cost optimization model to identify an optimal solution to expand airport capacity in metropolitan areas in consideration of demand uncertainties. The study first analyzed four airport capacity expansion cases from different regions of the world to identify possible solutions to expand …
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Relaxation and exact algorithms for solving mixed integer-quadratic optimization problems
… to provide tight lower and upper bounds to the optimal solution of the mixed combinatorial problem. In some cases the obtained range, in which the optimum lies, is small enough to be considered satisfactory by itself. This has been accomplished in problems with up to 150 variables. Exact …
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A Combinatorial Framework for Multiple RNA Interaction Prediction
… energy structure. Often the computationally optimal solution does not represent the biologically correct structure of the interaction. In addition, different biological structures may be observed, depending on several factors. Furthermore, scoring techniques often miss critical details about …
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Financial and regulatory considerations in capacity expansion planning for the electric utility industry
… the first period part of the multiperiod optimal solution. We address this question and show that a generalization of Baughman-Joskow surrogate fuel price is optimal for the case of a linear load duration curve. Similarly, a generalization of Soyster- Murphy annualization process is …
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Structural Optimization of Bell Crank using Adaptive Response Surface Optimization
… is on formulating strategies to obtain accurate solutions and enhance the efficiency of the optimization process, particularly when dealing with large and complex finite element (FE) models, utilizing statistical concepts. A potential avenue explored in this study is the adaptive response surface …
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