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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 101 for “"Numerical optimization"”.
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Numerical optimization of a stochastic inventory system under constraint
Digitized by Kansas Correctional Industries
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Numerical optimization of a stochastic inventory system under constraint
Digitized by Kansas Correctional Industries
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Numerical optimization of ion transport in electrospray mass spectrometry
Electrospray ionization (ESI) has developed into a key component of investigative analyses of samples in numerous biological, chemical, and geological contexts due to its unique ability to preserve the structure of ionized species without fragmentation. It is thus important that we fully understand …
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Design of cavitating propeller blades in non-uniform flow by numerical optimization
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1996.
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A numerical optimization-based methodology for application robustification: transforming applications for error tolerance
… tolerant form by recasting these applications as numerical optimization problems, which can then be solved reliably via stochastic optimization. We evaluate the potential robustness and energy benefits of the proposed approach using an FPGA-based framework that emulates timing errors in the …
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Solving The Prandtl Boundary Layer Equation in Fluid Dynamics Via Non-Linear Numerical Optimization
… a very large number of iterations for reasonable numerical solutions. In this research, a different approach is presented with columns of meshing for the boundary layer and a lower number of iterations with numerical results with a higher degree of accuracy. In a conventional Finite Volume Method …
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A new numerical optimization method based on Taylor series for challenging trajectory optimization problems
New methods to solve trajectory optimization problems are devised. The methods use direct transcription to convert the continuous optimal control problem into a parameter optimization problem that can be solved with non-linear programming. In direct transcription the system equations must be …
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The Clarke Derivative and Set-Valued Mappings in the Numerical Optimization of Non-Smooth, Noisy Functions
… a new tool for the convergence analysis of numerical optimization methods. It is based on the concepts of the Clarke derivative and set-valued mappings. Our goal is to apply this tool to minimization problems with non-smooth and noisy objective functions. After deriving a necessary condition …
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"Quantum Mechanical Analysis and Numerical Optimization of a ""zero-Field"" Spin Echo Small Angle Neutron Scattering Instrument"
The numerical simulations show that the range of spin-echo length varies from 105mum up to 10-2 mum whereas the spin-echo time from 103 ns up to 10-1ns.
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Development of a robust numerical optimization methodology for turbine endwalls and effect of endwall contouring on turbine passage performance
… contour shape is usually decided through an optimization study. Moreover, a general guideline for the endwall shape variation can be extrapolated from the existing literature. It has not been validated whether the optimum endwall shape for one passage can be fitted to other similar passage …
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Numerical Synthesis of Arbitrary Multi-Qubit Unitaries with low 𝑇-Count
Quantum gate synthesis based on numerical optimization produces efficient circuits for NISQ (Noisy Intermediate-Scale Quantum) computing by minimizing the num- ber of two-qubit gates. The requirements for fault tolerant quantum computing are significantly different in that some single qubit gates …
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Surrogate-based optimization using multifidelity models with variable parameterization
… are increasingly using high-fidelity models for numerical optimization. However, the computational cost of these models, combined with the large number of objective function and constraint evaluations required by optimization methods, can render such optimization computationally intractable. …
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Integrated aerodynamic-structural design optimization
… combined aerodynamic/structural design process numerical optimization methods are required. The present research is focused on a major difficulty associated with the multidisciplinary design optimization process - its enormous computational cost. We consider two approaches for reducing this …
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Reinforcement learning in continuous state- and action-space
… the value function, through the application of numerical optimization techniques. Although it has been stated in the literature that gradient-ascent methods can be applied to the action selection [47], it is also stated that solving this problem would be infeasible, and therefore, is claimed …
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An Optimization Centered Approach to Multifidelity Aircraft Design
… all of engineering is the concept of design optimization. When a new product is in development, it is the job of the design team to ensure the final result performs well as measured by some set of evaluative criteria, and design decisions are made throughout the process in an effort to …
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Data-Driven and Dynamically Feasible Trajectory Generation for Real-Time Powered Descent Guidance and Robotic Exploration
… are required for both problem formulations. Numerical optimization algorithms enable minimum-energy trajectory generation subject to system dynamics and safety constraints but currently remain computationally infeasible on flight-grade processors, taking seconds to minutes to compute a single …
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An object-oriented analysis and optimization control environment for the conceptual design of aircraft
… for performing design activities utilizing numerical optimization algorithms. Specifically, the research focuses on new techniques for interacting with optimization software, unique methods for handling design information, and creative methods for visualizing optimization results. The …
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A dynamic key frames approach to object tracking
… state. The algorithm is first presented in a numerical optimization framework and then developed as an extension to the Condensation algorithm. Finally, I present results from a Matlab simulation of the algorithm.
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Computer-aided optimal design for laminar and turbulent fluid-thermal systems
… the system response are computed and used in a numerical optimization algorithm to minimize pressure drop in flow through contractions. Both laminar and turbulent flows are considered. In the turbulent flow problems, the time-averaged momentum- and mass-conservation equations are solved using a …
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