Essays about: "convex optimization"
Showing result 21 - 25 of 80 essays containing the words convex optimization.
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21. Convergence Properties for Different Null Space Bases When Solving the Initial Margin Optimization Problem Using CMA-ES
University essay from KTH/Matematisk statistikAbstract : This thesis evaluates how the evolutionary algorithm CMA-ES (Covariance Matrix Adaption Evolution Strategy) can be used for optimizing the total initial margin for a network of banks trading bilateral OTC derivatives. The algorithm is a stochastic method for optimization of non-linear and, but not limited to, non-convex functions. READ MORE
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22. The Hanging Rope: A Convex Optimization Problem in the Calculus of Variations
University essay from Lunds universitet/Matematik LTHAbstract : We study the problem first introduced by Verma and Keller in 1984 of how to taper a heavy rope such that its elongation is minimized. The problem is stated as an optimization problem of a functional J[w]. Specifically we provide a proof of optimality for the solution using traditional convex optimization techniques. READ MORE
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23. Energy optimization tool for mild hybrid vehicles with thermal constraints
University essay from KTH/FordonsdynamikAbstract : The current global scenario is such where impact on the environment is becoming a rising concern. Global automotive manufacturers have focused more towards hybrid and electric vehicles as both more aware customers and governmental legislation have begun demanding higher emission standards. READ MORE
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24. Automatic Generation of Patient-specific Gamma Knife Treatment Plans for Vestibular Schwannoma Patients
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis a new fully automatic process for radiotherapy treatment planning with the Leksell Gamma Knife is implemented and evaluated: First, a machine learning algorithm is trained to predict the desired dose distribution, then a convex optimization problem is solved to find the optimal Gamma Knife configuration using the prediction as the optimization objective. The method is evaluated using Bayesian linear regression, Gaussian processes and convolutional neural networks for the prediction. READ MORE
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25. Automatic Generation of Patient-specific Gamma Knife Treatment Plans for Vestibular Schwannoma Patients
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis a new fully automatic process for radiotherapy treatment planning with the Leksell Gamma Knife is implemented and evaluated: First, a machine learning algorithm is trained to predict the desired dose distribution, then a convex optimization problem is solved to find the optimal Gamma Knife configuration using the prediction as the optimization objective. The method is evaluated using Bayesian linear regression, Gaussian processes and convolutional neural networks for the prediction. READ MORE
