Sökning: "low-rank approximation"
Visar resultat 6 - 10 av 13 avhandlingar innehållade orden low-rank approximation.
6. Machine Learning Methods Using Class-specific Subspace Kernel Representations for Large-Scale Applications
Sammanfattning : Kernel techniques became popular due to and along with the rising success of Support Vector Machines (SVM). During the last two decades, the kernel idea itself has been extracted from SVM and is now widely studied as an independent subject. LÄS MER
7. Algorithmic Bounds for Presumably Hard Combinatorial Problems
Sammanfattning : In this thesis we present new worst case computational bounds on algorithms for some of the most well-known NP-complete and #P-complete problems and their optimization variants. We consider graph problems like Longest Path, Maximum Cut, Number of Perfect Matchings, Chromatic and Domatic Number, as well as Maximum k-Satisfiability and Set Cover. LÄS MER
8. Numerical methods for Sylvester-type matrix equations and nonlinear eigenvalue problems
Sammanfattning : Linear matrix equations and nonlinear eigenvalue problems (NEP) appear in a wide variety of applications in science and engineering. Important special cases of the former are the Lyapunov equation, the Sylvester equation, and their respective generalizations. These appear, e.g. LÄS MER
9. Splitting schemes for nonlinear parabolic problems
Sammanfattning : This thesis is based on five papers, which all analyse different aspects of splitting schemes when applied to nonlinear parabolic problems. These numerical methods are frequently used when a problem has a natural decomposition into two or more parts, as the computational cost may then be significantly decreased compared to other methods. LÄS MER
10. Low-complexity algorithms in digital receivers
Sammanfattning : This thesis addresses low-complexity algorithms in digital receivers. This includes algorithms for estimation, detection, and source coding. LÄS MER