Fast linear algebra algorithms and applications to computational flow physics
Abstract/Contents
- Abstract
- This is an interdisciplinary study on fast linear algebra algorithms and high performance computing methods with applications in flow physics. Fast linear algebra algorithms are the essence of most high performance scientific calculations. In this thesis we study various novel fast linear algebra techniques, including adaptive fast multipole method and fast sparse linear solvers using low-rank approximation and extended sparsification. We also discuss numerical and computational methods developed for high fidelity simulation of heated particle-laden flows, which is followed by review of new physics discovered. We show heated particles can modify spectral properties of the background turbulence. The effect of particle preferential concentration in particle-to-gas heat transfer is studied. In addition, we use the developed computational physics framework to benchmark our proposed novel sparse matrix linear solver.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2017 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Pour Ansari, Mohammad Hadi |
|---|---|
| Associated with | Stanford University, Department of Mechanical Engineering. |
| Primary advisor | Darve, Eric |
| Primary advisor | Mani, Ali, (Professor of mechanical engineering) |
| Thesis advisor | Darve, Eric |
| Thesis advisor | Mani, Ali, (Professor of mechanical engineering) |
| Thesis advisor | Alonso, Juan José, 1968- |
| Thesis advisor | Iaccarino, Gianluca |
| Advisor | Alonso, Juan José, 1968- |
| Advisor | Iaccarino, Gianluca |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Mohammad Hadi Pour Ansari. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2017. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2017 by Mohammad Hadi Pour Ansari
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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