Essays about: "Tillämpad Matematik"
Showing result 16 - 20 of 382 essays containing the words Tillämpad Matematik.
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16. Exploring the impact of economic and social factors on stock market performance
University essay from KTH/Matematisk statistikAbstract : 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
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17. The Applicability and Scalability of Graph Neural Networks on Combinatorial Optimization
University essay from KTH/Matematik (Avd.)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
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18. A Comparative Study of Machine Learning Algorithms for Angular Position Estimation in Assembly Tools
University essay from KTH/Matematisk statistikAbstract : 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
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19. Copula modeling for Portfolio Return Analysis
University essay from KTH/Matematik (Avd.)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
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20. Minimum Cost Distributed Computing using Sparse Matrix Factorization
University essay from KTH/Optimeringslära och systemteoriAbstract : 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