Essays about: "Tillämpad Matematik"

Showing result 16 - 20 of 382 essays containing the words Tillämpad Matematik.

  1. 16. Exploring the impact of economic and social factors on stock market performance

    University essay from KTH/Matematisk statistik

    Author : Vincent Hallberg; William Hjorth; [2023]
    Keywords : regression analysis; societal development; domestic stock market; bachelor thesis; applied mathematics; macroeconomic factors; regressionsanalys; samhällsutveckling; inhemsk aktiemarknad; kandidatexamensarbete; tillämpad matematik; makroekonomiska faktorer;

    Abstract : This study seeks to investigate the relationship between human development factors and domestic stock markets using a multiple linear regression model. Despite efforts to improve the model's explanatory power, the findings indicate that the model fails to confirm the research question. READ MORE

  2. 17. The Applicability and Scalability of Graph Neural Networks on Combinatorial Optimization

    University essay from KTH/Matematik (Avd.)

    Author : Peder Hårderup; [2023]
    Keywords : applied mathematics; combinatorial optimization; machine learning; graph neural networks; scalability; tillämpad matematik; kombinatorisk optimering; maskininlärning; grafiska neurala nätverk; skalbarhet;

    Abstract : This master's thesis investigates the application of Graph Neural Networks (GNNs) to address scalability challenges in combinatorial optimization, with a primary focus on the minimum Total Dominating set Problem (TDP) and additionally the related Carrier Scheduling Problem (CSP) in networks of Internet of Things. The research identifies the NP-hard nature of these problems as a fundamental challenge and addresses how to improve predictions on input graphs of sizes much larger than seen during training phase. READ MORE

  3. 18. A Comparative Study of Machine Learning Algorithms for Angular Position Estimation in Assembly Tools

    University essay from KTH/Matematisk statistik

    Author : Henrik Fagerlund; [2023]
    Keywords : applied mathematics; circular fully convolutional network; nearest neighbour method; power tools; threaded fasteners; neural network; machine learning; convolution; tillämpad matematik; cirkulärt faltningsnätverk; närmaste granne-metod; elverktyg; skruvförband; neuralt nätverk; maskininlärning; faltning;

    Abstract : The threaded fastener is by far the most common method for securing components together and plays a significant role in determining the quality of a product. Atlas Copco offers industrial tools for tightening these fasteners, which are today suffering from errors in the applied torque. READ MORE

  4. 19. Copula modeling for Portfolio Return Analysis

    University essay from KTH/Matematik (Avd.)

    Author : Markus Gustafsson; [2023]
    Keywords : applied mathematics; copulas; tillämpad matematik; copulas;

    Abstract : In this thesis, we investigate the advantages of using high-dimensional copula modeling to understand the riskiness of portfolio investments and to more realistically estimate future portfolio values. Our approach involves benchmarking some pre-determined fitted copulas to the 0. READ MORE

  5. 20. Minimum Cost Distributed Computing using Sparse Matrix Factorization

    University essay from KTH/Optimeringslära och systemteori

    Author : Seif Hussein; [2023]
    Keywords : Applied mathematics; optimization; convex optimization; matrix factorization; sparse matrix factorization; distributed computing; linearly separable distributed computing; ADMM; alternating direction method of multipliers; tillämpad matematik; optimering; konvex optimering; matrisfaktorisering; gles matrisfaktorisering; distribuerade beräkningar; admm; alternating direction method of multipliers;

    Abstract : Distributed computing is an approach where computationally heavy problems are broken down into more manageable sub-tasks, which can then be distributed across a number of different computers or servers, allowing for increased efficiency through parallelization. This thesis explores an established distributed computing setting, in which the computationally heavy task involves a number of users requesting a linearly separable function to be computed across several servers. READ MORE