Sökning: "operator splitting"
Visar resultat 1 - 5 av 13 uppsatser innehållade orden operator splitting.
1. Improving charging scheduling of public transport electric buses
Master-uppsats, Lunds universitet/ProduktionsekonomiSammanfattning : Title: Improving charging scheduling of public transport electric buses Authors: Anna Hassler & Franz Bamberg Supervisor: Johan Marklund, Lund University Background: This thesis focuses on a Swedish BTO that operates EB fleets. For companies investing in electrification, record-high and volatile electricity prices, present challenges and creates a need to improve the charging scheduling of EBs to reduce costs. LÄS MER
2. 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
3. Optimization over nonnegative matrix polynomials
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : This thesis is concerned with convex optimization problems over matrix polynomials that are constrained to be positive semidefinite on the unit circle. Problems of this form appear in signal processing and can often be solved as semidefinite programs (SDPs). LÄS MER
4. Real-time Model Predictive Control with Complexity Guarantees Applied on a Truck and Trailer System
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : In model predictive control an optimization problem is solved in every time step, which in real-time applications has to be solved within a limited time frame. When applied on embedded hardware in fast changing systems it is important to use efficient solvers and crucial to guarantee that the optimization problem can be solved within the time frame. LÄS MER
5. House Price Prediction
Kandidat-uppsats, Högskolan Kristianstad/Fakulteten för naturvetenskapSammanfattning : This study proposes a performance comparison between machine learning regression algorithms and Artificial Neural Network (ANN). The regression algorithms used in this study are Multiple linear, Least Absolute Selection Operator (Lasso), Ridge, Random Forest. LÄS MER