Sökning: "large eigenvalue problem"
Visar resultat 1 - 5 av 11 uppsatser innehållade orden large eigenvalue problem.
1. Dirichlet-to-Neumann maps and Nonlinear eigenvalue problems
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : Differential equations arise frequently in modeling of physical systems, often resulting in linear eigenvalue problems. However, when dealing with large physical domains, solving such problems can be computationally expensive. LÄS MER
2. Computationally Efficient Methods in Topology Optimization
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperSammanfattning : In topology optimization, iterative, gradient-based methods are used to find the material distribution of structures which maximizes some objective function, typically the structures' stiffness, or in some cases the fundamental frequency. Finite element analysis is used to compute the structural response in each iteration, leading to large systems of equations. LÄS MER
3. Evaluation of methods for quantifying returns within the premium pension
Master-uppsats, KTH/Matematisk statistikSammanfattning : Pensionsmyndigheten's (the Swedish Pensions Agency) current calculation of the internal rate of return for 7.7 million premium pension savers is both time and resource consuming. LÄS MER
4. Computation of Eigenmodes in Three-Dimensional Structures
Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)Sammanfattning : In this thesis the eigenmodes and eigenvalues of three dimensional structures are analyzed using the Python environment FEniCS in combination with an implementation of the Arnoldi method in MATLAB for calculation of eigenpairs. This is done by considering separable solutions of the wave equation and subsequently expressing these as the solutions to an eigenvalue problem. LÄS MER
5. Image Processing using Graph Laplacian Operator
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The latest image processing methods are based on global data-dependent filters. These methods involve huge affinity matrices which cannot fit in memory and need to be approximated using spectral decomposition. LÄS MER