Essays about: "Non-convex optimization"
Showing result 1 - 5 of 18 essays containing the words Non-convex optimization.
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1. Optimization of Radiotherapy Treatment Plans Based on Monte Carlo Dose Computations
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Treatment planning plays a vital role in providing good treatment to cancer patients. In order to reach an adequate treatment plan, the algorithm used for simulating the dose in the patient must model the reality well. READ MORE
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2. Optimizing First-Order Method Parameters via Differentiation of the Performance Estimation Problem
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis treats the problem of finding optimal parameters for first-order optimization methods. In part, we use the Performance Estimation Problem (PEP), a framework for convergence analysis of first-order optimization methods. READ MORE
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3. Adjoint optimization of a liquid-cooled heat sink
University essay from KTH/Teknisk mekanikAbstract : Improving the design of flow channels in a liquid-cooled heat sink is critical for boosting the capabilities of electronic components as well as reducing energy usage by the pump. This work explores the use of topology optimization to minimize the pressure difference across a heat sink and consequently, the energy used to supply the liquid. READ MORE
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4. Far-field pattern synthesis of transmitarray antennas using convex optimization techniques
University essay from KTH/Tillämpad fysikAbstract : Transmitarrays antennas (TAs) can be seen as the planar counterpart of optical lenses. They are composed of thin radiating elements (unit cells) which introduce different local phase shifts on an incident electromagnetic wave, emitted by a primary source, and re-radiate it. READ MORE
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5. On the Topic of Unconstrained Black-Box Optimization with Application to Pre-Hospital Care in Sweden : Unconstrained Black-Box Optimization
University essay from Umeå universitet/Institutionen för fysikAbstract : In this thesis, the theory and application of black-box optimization methods are explored. More specifically, we looked at two families of algorithms, descent methods andresponse surface methods (closely related to trust region methods). READ MORE
