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.
Results
Showing 1 to 20 of 40 for “"Non-linear optimization"”.
-
Interactive computer graphics in non-linear optimization.
… field 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 …
-
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 …
-
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 …
-
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 …
-
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 …
-
Localization and sensing applications in the Pushpin Computer Network
… over an area of 1-m2. One is based on a linear lateration technique, while the second approach utilizes non-linear optimization techniques, namely spectral graph drawing and mesh relaxation. In both cases, localization is accomplished by generating distance constraints based on ultrasound …
-
Market outperformance by nonparametric, simugram-based portfolio selection
… is applied as the objective function in the non-linear optimization of portfolio weights. This technique is in contrast to the mean-variance selection model, which seeks to minimize portfolio variance subject to a target return. The simugram-based selection system maximizes portfolio return …
-
Branch-and-Price for Prescriptive Contagion Analytics
… contagion problems involve mixed-integer non-convex optimization models with constraints governed by ordinary differential equations, thus combining the challenges of combinatorial optimization, non-linear optimization, and continuous-time system dynamics. This thesis develops a …
-
Automatic design tool for robust radio frequency decoupling matrices in magnetic resonance imaging
… the values of the decoupling matrix via a non linear optimization and generate a physical realization using reactive elements such as inductors and capacitors. The methods presented in this thesis scale to any arbitrary number of channels and can be readily applied to other coupled systems …
-
A study of heuristic scheduling
… and the points of similarity discussed Classical non-linear optimization techniques are introduced and applied to job-shop scheduling problems. A new approach to the optimization of schedule response surfaces is presented and compared with classical optimization techniques using problems of …
-
Setting optimal production lot sizes and planned lead times in a job shop system
… of these decision variables. We formulate a non-linear optimization model and implement it in the Excel Spreadsheet. We solve the model with the premium Excel Solver to determine the minimum-cost operating tactics. We test the model with both hypothetical and actual factory data from our …
-
Multi-dimensional Data Analysis in Electron Microscopy
… applications. Particular attention is paid to non-linear optimization analyses and general processing algorithms and frameworks when the datasets are significantly larger than the available computer memory. All new presented algorithms and frameworks were implemented in the HyperSpy analysis …
-
Spatially resolved life cycle models for the environmental footprint of electricity generation
… environmental impacts. The original model used a non-linear optimization model for power generation, a regional photochemical model for air quality impacts, and self-contained modules for greenhouse gas emissions and water usage at power plants in Texas. The new model includes life cycle scenarios …
-
Seismic slope estimation: analyses in 2D/3D
… noise. The plane-wave destructor method solves a non-linear optimization problem using the Gauss-Newton method to estimate slope. This method has an optional input parameter for initial slope, which can contain valuable information. Yet, the smoothing regularization is performed on each slope …
-
Pseudonormality and a language multiplier theory for constrained optimization
… to analytical and computational studies in linear and non-linear optimization and have applications in a wide variety of fields, including communication, networking, economics, and manufacturing. In the past, the main research in Lagrange multiplier theory has focused on developing general …
-
Development of operations based long range network capacity planning models
… Vaccines and utilizes operations principles, non-linear optimization, and process data to efficiently calculate the capacity of the vaccine manufacturing network. The resulting network capacity is then compared to the long range demand for vaccine production to determine capacity deficits and …
-
Automated Vision-Based Tracking and Action Recognition of Earthmoving Construction Operations
… Once the equipment is detected, using a Direct Linear Transformation followed by a non-linear optimization, their positions are localized in 3D. In order to automatically analyze the performance of these operations, a new algorithm to recognize actions of the equipment is developed. First, a …
-
Strategic flexibility
… dissertation includes optimal control theory, non-linear optimization, stochastic differential equation and game theory. ^ The first part of this research studies the optimal decisions on a flexible system with exercise delay within stochastic environments by postulating two level decisions, …
-
Controle de cheias em reservatórios de usinas hidrelétricas
… method. The approximation results in a non-linear optimization problem with linear constraints. This method is used in a case study with the reservoir system of the Grande and Paranaíba rivers and the power plants of Ilha Solteira and Jupiá.
-
From cognitive to docitive radios: the role of machine learning in intelligent wireless multimedia networks
… improvement of multimedia wireless transmission. Non-linear optimization is utilized for cooperative design of cross-layer wireless transmission; manifold learning is explored for dimensional reduction and user similarity measurement. Mixed preemptive resume priority and non-preemptive resume …
Page 1 of 2