Sökning: "linear optimization"
Visar resultat 1 - 5 av 448 uppsatser innehållade orden linear optimization.
1. Comparative study of albedo and Ndvi. : Based on a vertical Agrivoltaic system and a reference control plot.
Uppsats för yrkesexamina på grundnivå, Mälardalens universitet/Akademin för ekonomi, samhälle och teknikSammanfattning : Agrivoltaic system combines solar energy and agriculture which is an effective way to utilize the lands full potential. Crops can be grown between vertical panels or under tilted panels among other designs. Combining solar panels and agriculture leads to optimization of space. LÄS MER
2. Time Series Forecasting on Database Storage
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER
3. Real-Time Certified MPC for a Nano Quadcopter
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : There is a constant demand to use more advanced control methods in a wider field of applications. Model Predictive Control (MPC) is one such control method, based on recurrently solving an optimization problem for determining the optimal control signal. LÄS MER
4. A case study of disjunctive programming: Determining optimal motion trajectories for a vehicle by mixed-integer optimization
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : This report considers an application of mixed-integer disjunctive programming (MIDP)where a theoretical robot can jump from one point to another and where the number ofjumps is to be minimized. The robot is only able to jump to the north, south, east andwest. LÄS MER
5. Double Machine Learning for Insurance Price Optimization
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. LÄS MER