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 104 for “"Linear Optimization"”.
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Interactive computer graphics in non-linear optimization.
… of both interactive computer graphics and non-linear optimization. The potential contribution of interactive computer graphics in nonlinear optimization is then evaluated from the points of view of model formulation and solution, and the requirements of an interactive system for realizing this …
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Linear optimization model for fish processing production planning
… capacity. This paper attempts to show that optimization model and sensitivity analysis can be beneficial as a decision making tool for production manager in this fast paced environment. The paper proposes a linear optimization model that can be used as a decision aid for one-day production …
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High Dimensional Non-Linear Optimization of Molecular Models
… called ParOpt, for general high dimensional non-linear optimization will be presented. The software provides a very general framework for the optimization of a wide variety of parameter sets. The software is especially powerful when applied to the difficult task of molecular model parameter …
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Computational Experience with Linear Optimization and Related Problems
… performance of analogous algorithms for linear systems. It is wellknown that the efficiency of mathematical optimization software is integrally linked to the preprocessing techniques employed by software. Existing preprocessing techniques are reviewed, and the relative cost and …
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Generalized conflict learning for hybrid discrete/linear optimization
… there is a series of discrete constraint optimization problems and a conflict-directed search algorithm, which uses conflicts in the forward search step to focus search away from known infeasibilities and towards the optimal solution. In the arena of model-based autonomy, discrete systems, …
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Determination of mass excavation haul distance and direction by linear optimization
… haul the soil on a mass excavation project using linear optimization programming methodology. The system generates a mathematical solution for the minimum haul distance and the direction in which to haul the soil for each unit of the program grid when formulated with the proper input. The …
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Robust optimization of linear optimization problems and an approximation approach to solve robust Knapsack Problem
The goal of classical KP, is to find a subset of items whose total weight does not exceed the knapsack capacity, and whose profit is a maximum. In the robust KP the goal is to find a subset of items whose total weight does not exceed the knapsack capacity, and remains near maximum for the worst …
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Métodos iterativos de análise hidráulica e dimensionamento ótimo por programação linear de redes de distribuição de água
… according to Hardy Cross, Newton-Raphson and Linear Analysis methods, is introduced firstly. The best computational performance method, in case, the Newton-Raphson with a nodal formulation is used into an economical optimization of water distribution networks, which is only based on heuristic …
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Dynamic optimization in the age of big data
… 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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Semidenite representations with applications in estimation and inference
Semidenite optimization problems are an expressive family of convex optimization problems that can be solved eciently. We develop semidenite optimization-based formulations and approximations for a number of families of optimization problems, including problems arising in spacecraft attitude …
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Demand forecasting and optimizing room allocation at Icelandair Hotels
… unconstraining and forecasting method. A linear optimization model is developed with inputs from the unconstraining method to optimize booking limits and maximize revenues. A two-step solution method was implemented, incorporating the booking profile method and booking limit optimization …
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The design of public transit networks with heuristic algorithms : case study Cape Town
… and systems, and belongs to the class of non-linear optimization problems. In solving the problem, attempts are made to balance the tradeoffs between utility maximization and cost minimization given some resource constraints, within the context of a transportation network. In this …
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ΣΧΕΔΙΑΣΗ ΔΙΣΔΙΑΣΤΑΤΩΝ ΨΗΦΙΑΚΩΝ ΦΙΛΤΡΩΝ ΑΠΕΙΡΗΣ ΚΡΟΥΣΤΙΚΗΣ ΑΠΟΚΡΙΣΗΣ ΜΕ ΝΕΕΣ ΜΕΘΟΔΟΥΣ ΒΕΛΤΙΣΤΟΠΟΙΗΣΗΣ
… INFINITE IMPULSE RESPONSE DIGITAL FILTERS WITH LINEAR AND NON-LINEAR TECHNIQUES. THREE METHODS ARE PROPOSED FOR THE DESIGN OF DIGITAL FILTER. TWO OF THEM ARE BASED ON THE FORMULATION OF A LINEAR PROGRAMMING PROBLEM AND THE THIRD ONE USES NONLINEAR INTEGER PROGRAMMING. FOR THE SOLUTION OF THE …
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Computation of Lyapunov functions and stability of interconnected systems
… and then verifies if the vertex values satisfy linear inequalities for vertices in the subset excluding a small neighbourhood of the origin. If the linear inequalities are satisfied, then the CPA function is a CPA Lyapunov function on the subset excluding a small neighbourhood of the origin. …
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The Tollmien-Schlichting instability of laminar viscous flows
… a flat plate with porous suction strips, we use linear triple-deck, closed-form solutions for the mean flow to do a linear, parallel, spatial stability analysis. We develop a simple linear optimization scheme to determine the number, spacing, and mass-flow rate through the strips and conclude, …
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Architectural Techniques to Mitigate the Effect of Spatial and Temporal Variations in Processors
… voltage changes at key times---it uses a non-linear optimization algorithm to carefully balance the impact on the aging rate and on the critical path delays. Moreover, it can gainfully configure the chip for a short lifetime. We can take a multicore with a 7-year lifetime and, by hiding and …
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Thrust Network Analysis : exploring three-dimensional equilibrium
… Using projective geometry, duality theory and linear optimization, it provides a graphical and intuitive method, adopting the same advantages of techniques such as graphic statics, but offering a viable extension to fully three-dimensional problems. The proposed method is applicable for the …
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Data, models and decisions for large-scale stochastic optimization problems
… called decomposable MDPs. We propose a novel linear optimization formulation that exploits the decomposable nature of the problem data to obtain a heuristic for the true problem. We show that the formulation is theoretically stronger than alternative proposals and provide numerical evidence …
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Quadrilateral Remeshing and Efficient Surface Parameterization
… that are everywhere orthogonal. In only one linear step, our method efficiently generates parameterization with natural boundaries from those with convex boundaries. Next, we introduce a new non-linear optimization framework that, can rapidly reduce interior distortion under a variety of …
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