Sökning: "Convergence rate"
Visar resultat 1 - 5 av 117 uppsatser innehållade orden Convergence rate.
1. Evaluating aperture shape controller (ASC) in modulated radiation treatments
Master-uppsats,Sammanfattning : To decrease aperture complexity, the aperture shape controller (ASC) is a recently introduced function in Eclipse external beam planning (Varian Medical Systems, Palo Alto, USA). ASC works within the photon optimizer, minimizing distances between adjacent leaf tips of the MLC. LÄS MER
2. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. LÄS MER
3. Fine-Tuning Parameters in CT
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : Computed tomography (CT) is a medical imaging technique that usesX-rays to obtain a reconstruction of an object. The term acquisition ge-ometry refers to the arrangement of imaging sensors and the X-ray sourceas well as the procedure used for data collection. LÄS MER
4. Simulation of low frequency acoustic waves in small rooms : An SBP-SAT approach to solving the time dependent acoustic wave equation in three dimensions
Kandidat-uppsats,Sammanfattning : Low frequency acoustic room behaviour can be approximated using numerical methods. Traditionally, music studio control rooms are built with complex geometries, making their eigenmodes difficult to predict mathematically. LÄS MER
5. Optimizing First-Order Method Parameters via Differentiation of the Performance Estimation Problem
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknikSammanfattning : 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. LÄS MER