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 175 for “"Computation for Design and Optimization Program."”.
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Physics-based machine learning and data-driven reduced-order modeling
… of learning efficient low-dimensional models for dynamical systems. To be effective in an engineering setting, these models must be predictive -- that is, they must yield reliable predictions for conditions outside the data used to train them. These models must also be able to make predictions …
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Fully-kinetic PIC simulations for Hall-effect thrusters
… of a Hall thruster in attempts to better understand the associated physics of thruster operation. Originally, simulations assumed a continuum approximation for electrons and used magnetohydrodynamic fluid equations to model the significant processes. While these codes were computationally …
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Semidefinite relaxation based branch-and-bound method for nonconvex quadratic programming
… we use a semidefinite relaxation based branch-and-bound method to solve nonconvex quadratic programming problems. Firstly, we show an interval branch-and-bound method to calculate the bounds for the minimum of bounded polynomials. Then we demonstrate four SDP relaxation methods to solve …
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Low rank matrix completion
… control, system identification, statistics and signal processing. Although the general low rank matrix completion problem is NP-hard, there exist several heuristic methods that solve the problem approximately by solving the convex relaxation of the original problem. One particularly popular …
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Graduate school introductory computational simulation course pedagogy
Numerical methods and algorithms have developed and matured vastly over the past three decades now that computational analysis can be performed on almost any personal computer. There is a need to be able to teach and present this material in a manner that is easy for the reader to understand and be …
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A fast 3D full-wave solver for nanophotonics
… equation solvers seem to be ideal approaches for simulating 3-D nanophotonic devices, as these devices are considered to be open structures, generating fields in both an interior channel and in the infinite exterior domain. However, many devices of interest, such as optical ring resonator …
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Computational issues and related mathematics of an exponential annealing homotropy for conic optimization
We present a further study and analysis of an exponential annealing based algorithm for convex optimization. We begin by developing a general framework for applying exponential annealing to conic optimization. We analyze the hit-and-run random walk from the perspective of convergence and develop …
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The Markov chain Monte Carlo approach to importance sampling in stochastic programming
Stochastic programming models are large-scale optimization problems that are used to facilitate decision-making under uncertainty. Optimization algorithms for such problems need to evaluate the expected future costs of current decisions, often referred to as the recourse function. In practice, this …
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Analysis of additive manufacturing in an automobile service part supply chain
The traditional supply chain performance depends on the efficiency of mass production, the availability of productive low cost labor and the geometry and materials of the products. Additive manufacturing, on the other hand, bypasses all these constraints and reduces the number of stages in the …
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Numerical simulations of perforated plate stabilized premixed flames with detailed chemistry
… reactive flow solver to investigate perforated-plate stabilized laminar premixed flames. The developed code is used to examine the impact of the operating conditions and the perforated plate design on the steady flame characteristics. It is also used to numerically investigate the …
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Modeling flow encountering abrupt topography using hybridizable discontinuous Galerkin projection methods
… (HDG) projection methods are further developed for ocean dynamics and geophysical fluid predictions. We investigate the effects of the HDG stabilization parameter for both the momentum equation as well as tracer diffusion. We also make a correction to our singularity treatment algorithm for …
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Multi-parameter estimation in glacier models with adjoint and algorithmic differentiation
… ice masses, such as the Antarctic or Greenland Ice Sheets, requires computational models capturing abrupt changes in ice sheet dynamics, which are still poorly understood. Input parameters, such as basal drag and topography, have large effects on the applied stress and flow fields but whose …
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Combining local and global optimization for planning and control in information space
… to address the problem of planning a trajectory for controlling a robot with imperfect state information under uncertainty. This question is formulated abstractly as a partially observable stochastic shortest path (POSSP) problem. We assume that the feature-based map of a region is available to …
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Fairness and optimality in trading
… approach to address the issues of efficiency and fairness when multiple portfolios are rebalanced simultaneously. A fund manager who rebalances multiple portfolios needs to not only optimize the total efficiency, i.e., maximize net risk-adjusted return, but also guarantee that trading costs …
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An analysis of the TR-BDF2 integration scheme
We intend to try to better our understanding of how the combined L-stable 'Trapezoidal Rule with the second order Backward Difference Formula' (TR-BDF2) integrator and the standard A-stable Trapezoidal integrator perform on systems of coupled non-linear partial differential equations (PDEs). It was …
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Silence of the lamb waves
… decade due to the proliferation of personalized and wearable devices for monitoring a variety of biometrics. Given the sensitive nature of the potential applications of these sensors, the throughput of manufacturing due to increased demand, and the scale of the electrical components being …
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On the predictive capability and stability of rubber material models
Due to the high non-linearity and incompressibility constraint of rubber materials, the predictive capability and stability of rubber material models require specific attention for practical engineering analysis. In this thesis, the predictive capability of various rubber material models, namely …
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Surrogate modeling for large-scale black-box systems
… the complexity of large-scale blackbox systems for which the governing equations are unavailable. For such systems, surrogate models are critical for many applications, such as Monte Carlo simulations; however, existing surrogate modeling methods often are not applicable, particularly when the …
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Optimal corporate investment and financing policies with time-varying investment opportunities
Bolton, Chen and Wang (2009) propose a model (the BCW model) of dynamic corporate investment, financing, and risk management for a financially constrained firm. In the BCW model, corporate risk management is a combination of internal liquidity management, financial hedging, investment, and payout …
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Must linear algebra be block cyclic? : and other explorations into the expressivity of data parallel and task parallel languages
… distributes data across its processors for good load balancing and communication between its nodes. The block cyclic distribution schema characterized by cyclic order allocation of row and column data blocks followed by consecutive elimination is widely used in scientific computing and …
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