Essays about: "numerical optimization"
Showing result 11 - 15 of 177 essays containing the words numerical optimization.
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11. On the Equivalence of Time-Varying CBF-Based Control and Prescribed Performance Control : Conversion and Qualitative Comparison
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : These days, a wide range of autonomous systems, such as automobiles, delivery drones, and embedded household systems, are becoming more and more common in our society. This trend is projected to continue in the future. To effectively manage these dynamic systems, ensuring their safe operation is crucial for the well-being of our lives. READ MORE
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12. 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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13. Expression Simplification Using E-Graphs for Interval Evaluation
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Daisy is a framework for verifying and bounding the magnitudes of rounding errors introduced by floating-point arithmetic in numerical programs. As part of this, Daisy employs a rudimentary algorithm for simplifying expressions derived from the programs. READ MORE
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14. Simulation of Quantum Cascade Lasers
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Matematisk fysikAbstract : This thesis aimed to contribute to the improvement of Quantum Cascade Lasers (QCLs) by focusing on the effective determination of quantum levels in these devices. The current method relies on an outdated Fortran code, which poses challenges when integrating into optimization schemes. READ MORE
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15. Multi-Scale Topology Optimization of Lattice Structures Using Machine Learning
University essay from Uppsala universitet/Tillämpad mekanikAbstract : This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. READ MORE