Sökning: "mathematical optimization theory"

Visar resultat 1 - 5 av 47 uppsatser innehållade orden mathematical optimization theory.

  1. 1. LEO Satellite Connectivity for flying vehicles

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jinxuan Chen; [2023]
    Nyckelord :LEO satellite network; satellite connectivity strategy; Nash-SAC; flying vehicles; LEO:s satellitnät; Strategi för satellitanslutning; Nash-SAC; flygande fordon;

    Sammanfattning : Compared with the terrestrial network (TN), which can only support limited covered areas, satellite communication (SC) can provide global coverage and high survivability in case of an emergency like an earthquake. Especially low-earth orbit (LEO) satellites, as a promising technology, which is integral to achieving the goal of global seamless coverage and reliable communication, catering to 6G’s communication requirements. LÄS MER

  3. 2. Portfolio Optimization Problems with Cardinality Constraints

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Abolgasem Esmaeily; Felix Loge; [2023]
    Nyckelord :Portfolio Optimization; Modern Portfolio Theory MPT • Mixed Integer Programming MIP ; Efficient Frontier; Cardinality Constraints; Daily Returns; Expected Returns; Asset Allocation; Diversification;

    Sammanfattning : This thesis analyzes the mean variance optimization problem with respect to cardinalityconstraints. The aim of this thesis is to figure out how much of an impact transactionchanges has on the profit and risk of a portfolio. We solve the problem by implementingmixed integer programming (MIP) and solving the problem by using the Gurobi solver. LÄS MER

  4. 3. Optimering av en flytande vindkraftspark

    Kandidat-uppsats, Uppsala universitet/Materialteori

    Författare :Mattias Blavier; Elin Granath; Emelie Jin; Elin Johansson; Axel Svensson; Kristina Thylin; [2023]
    Nyckelord :Vindkraft; flytande vindkraft; simulering; modellering; optimering; AEP; LCOE;

    Sammanfattning : This paper presents a study on the optimization of floating offshore wind farms. The aim of this study is mainly to create a tool that can help determine the most profitable layout option for the floating offshore wind power company Windeed. LÄS MER

  5. 4. Optimal Multi-Commodity Network Flow of Electric Vehicles with Charge Constraints

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Carl Kristian Gomér Torp; Simon Melander; [2023]
    Nyckelord :autonomous electric vehicles; multi-commodity network flow; optimal routing; traffic planning; charge constraints; linear optimization; mathematical modeling; graph theory;

    Sammanfattning : The focus of this thesis is to find, visualize and analyze the optimal flow of autonomous electric vehicles with charge constraints in urban traffic with respect to energy consumption. The traffic has been formulated as a static multi-commodity network flow problem, for which two different models have been implemented to handle the charge constraints. LÄS MER

  7. 5. On the Modelling of Stochastic Gradient Descent with Stochastic Differential Equations

    Master-uppsats, Uppsala universitet/Analys och partiella differentialekvationer

    Författare :Martin Leino; [2023]
    Nyckelord :stochastic gradient descent; stochastic differential equations; statistical machine learning;

    Sammanfattning : Stochastic gradient descent (SGD) is arguably the most important algorithm used in optimization problems for large-scale machine learning. Its behaviour has been studied extensively from the viewpoint of mathematical analysis and probability theory; it is widely held that in the limit where the learning rate in the algorithm tends to zero, a specific stochastic differential equation becomes an adequate model of the dynamics of the algorithm. LÄS MER