Search for dissertations about: "Polynomial methods"
Showing result 1 - 5 of 122 swedish dissertations containing the words Polynomial methods.
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1. Uncertainty Quantification and Numerical Methods for Conservation Laws
Abstract : Conservation laws with uncertain initial and boundary conditions are approximated using a generalized polynomial chaos expansion approach where the solution is represented as a generalized Fourier series of stochastic basis functions, e.g. orthogonal polynomials or wavelets. READ MORE
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2. Constructing Algorithms for Constraint Satisfaction and Related Problems : Methods and Applications
Abstract : In this thesis, we will discuss the construction of algorithms for solving Constraint Satisfaction Problems (CSPs), and describe two new ways of approaching them. Both approaches are based on the idea that it is sometimes faster to solve a large number of restricted problems than a single, large, problem. READ MORE
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3. Optimization Models and Methods for Telecommunication Networks using OSPF
Abstract : The routing in OSPF Telecommunication networks is determined by computing shortest paths with respect to link weights set by the network operator. All shortest paths to a destination are used by the routers when traffic is routed, and the routers split the traffic evenly when alternative shortest paths exist. READ MORE
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4. Initialization Methods for System Identification
Abstract : In the system identification community a popular framework for the problem of estimating a parametrized model structure given a sequence of input and output pairs is given by the prediction-error method. This method tries to find the parameters which maximize the prediction capability of the corresponding model via the minimization of some chosen cost function that depends on the prediction error. READ MORE
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5. Methods for Optimal Model Fitting and Sensor Calibration
Abstract : The problem of fitting models to measured data has been studied extensively, not least in the field of computer vision. A central problem in this field is the difficulty in reliably find corresponding structures and points in different images, resulting in outlier data. READ MORE