Sökning: "Poisson"
Visar resultat 11 - 15 av 239 uppsatser innehållade ordet Poisson.
11. Hur har Ukrainas export till EU-länder påverkats av inträdet i ett frihandelsområde?
Kandidat-uppsats, Lunds universitet/Nationalekonomiska institutionenSammanfattning : By supporting the economy of Ukraine, the Association Agreement between the EU and Ukraine is thought to have played an important role in EU’s support during recent crises. The agreement was signed in 2014 and included a deep and comprehensive free trade area (DCFTA). LÄS MER
12. Improved Statistical Methods for Elliptic Stochastic Homogenization Problems : Application of Multi Level- and Multi Index Monte Carlo on Elliptic Stochastic Homogenization Problems
Kandidat-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskapSammanfattning : In numerical multiscale methods, one relies on a coupling between macroscopic model and a microscopic model. The macroscopic model does not include the microscopic properties that the microscopic model offers and that are vital for the desired solution. LÄS MER
13. A high-order artificial viscosity finite element method for the Vlasov-Poisson system
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : We introduce a finite element method with high-order accuracy for approximating the Vlasov-Poisson system. This method uses continuous Lagrange polynomials as basis functions and employs explicit Runge-Kutta schemes for time discretization. A residual-based artificial viscosity technique is applied for stabilization. LÄS MER
14. Pricing and Modeling Heavy Tailed Reinsurance Treaties - A Pricing Application to Risk XL Contracts
Master-uppsats, KTH/Matematisk statistikSammanfattning : To estimate the risk of a loss occurring for insurance takers is a difficult task in the insurance industry. It is an even more difficult task to price the risk for reinsurance companies which insures the primary insurers. LÄS MER
15. Application of Physics-Informed Neural Networks for Galaxy Dynamics
Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)Sammanfattning : Developing efficient and accurate numerical methods to simulate dynamics of physical systems has been an everlasting challenge in computational physics. Physics-Informed Neural Networks (PINNs) are neural networks that encode laws of physics into their structure. LÄS MER