Essays about: "differential equations"
Showing result 16 - 20 of 256 essays containing the words differential equations.
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16. Minimizing network utilization in event-triggered control of multi-agent system
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : The exact solution to a set of equations modeling the event-triggered control of a multi-agent system is derived and computed up to a specified error on the time between events. An attempt to minimize the number of events of the solution subject to bounds on overshoot and convergence time is made using a differential evolution method. READ MORE
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17. Multibody simulations of vibrations in a truck’s steering system
University essay from KTH/Matematik (Avd.)Abstract : This thesis aims to explore if multibody simulations is a suitable method to investigate vibrations in the steering system of trucks. Vibrations in the steering system and subsequently in the steering wheel is a common issue that automotive manufacturers face. READ MORE
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18. Machine Learning Algorithms for Quantum Systems
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : The Schrödinger equation is a fundamental differential equation in quantum mechanics, and solving it for general potentials is difficult even using numerical methods. In recent years, machine learning has become a popular tool for finding solutions to partial differential equations in general, and the Schrödinger equation in particular. READ MORE
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19. Solving Partial Differential Equations With Neural Networks
University essay from Uppsala universitet/Matematiska institutionenAbstract : In this thesis three different approaches for solving partial differential equa-tions with neural networks will be explored; namely Physics-Informed NeuralNetworks, Fourier Neural Operators and the Deep Ritz method. Physics-Informed Neural Networks and the Deep Ritz Method are unsupervised machine learning methods, while the Fourier Neural Operator is a supervised method. READ MORE
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20. Reinforcement Learning for the Optimization of Explicit Runge-Kutta Method Parameters
University essay from Lunds universitet/Matematik LTH; Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/MatematikcentrumAbstract : Reinforcement learning is one of the three main paradigms in machine learning, which is increasingly used as a method to approach scientific problems. In this thesis, we introduce and use reinforcement learning to find the optimal parameters of a numerical solver. READ MORE
