Loading...
Search for:
adaptive-strategy
0.01 seconds
Quantum Estimation: Properties and Calculation of the Quantum Fisher Information and Adaptive Scheme
, Ph.D. Dissertation Sharif University of Technology ; Rezakhani, Ali (Supervisor)
Abstract
In this thesis , we study quantum estimation , its primary tools and different approaches . To this end , along with reviewing the main concepts of classical and quantum estimation , the Cramer-Rao inequlity which establishes a lower bound on the precision of estimation has been used . This lower bound can be calculated using the quantum Fisher information . In order to explore properties of the quantum Fisher information , we study the continuity relation of this quantity in the most general case and we calculate it for different quantum states . To underline the importance of the continuity relation , one can demonstrate an estimate of the value of the quantum Fisher information...
Adaptive sparse matrix representation for efficient matrix–vector multiplication
, Article Journal of Supercomputing ; November , 2015 , Pages 1-21 ; 09208542 (ISSN) ; Khunjush, F ; Sarbazi Azad, H ; Sharif University of Technology
Springer New York LLC
2015
Abstract
A wide range of applications in engineering and scientific computing are based on the sparse matrix computation. There exist a variety of data representations to keep the non-zero elements in sparse matrices, and each representation favors some matrices while not working well for some others. The existing studies tend to process all types of applications, e.g., the most popular application which is matrix–vector multiplication, with different sparse matrix structures using a fixed representation. While Graphics Processing Units (GPUs) have evolved into a very attractive platform for general purpose computations, most of the existing works on sparse matrix–vector multiplication (SpMV, for...
Adaptive sparse matrix representation for efficient matrix–vector multiplication
, Article Journal of Supercomputing ; Volume 72, Issue 9 , Volume 72, Issue 9 , 2016 , Pages 3366-3386 ; 09208542 (ISSN) ; Khunjush, F ; Sarbazi Azad, H ; Sharif University of Technology
Springer New York LLC
Abstract
A wide range of applications in engineering and scientific computing are based on the sparse matrix computation. There exist a variety of data representations to keep the non-zero elements in sparse matrices, and each representation favors some matrices while not working well for some others. The existing studies tend to process all types of applications, e.g., the most popular application which is matrix–vector multiplication, with different sparse matrix structures using a fixed representation. While Graphics Processing Units (GPUs) have evolved into a very attractive platform for general purpose computations, most of the existing works on sparse matrix–vector multiplication (SpMV, for...
SUT-DAM: An integrated software environment for multi-disciplinary geotechnical engineering
, Article Advances in Engineering Software ; Volume 37, Issue 11 , 2006 , Pages 728-753 ; 09659978 (ISSN) ; Gharehbaghi, S. A ; Azami, A. R ; Tabarraie, A. R ; Sharif University of Technology
Elsevier Ltd
2006
Abstract
As computer simulation increasingly supports engineering design, the requirement for a computer software environment providing an integration platform for computational engineering software increases. A key component of an integrated environment is the use of computational engineering to assist and support solutions for complex design. In the present paper, an integrated software environment is demonstrated for multi-disciplinary computational modeling of structural and geotechnical problems. The SUT-DAM is designed in both popularity and functionality with the development of user-friendly pre- and post-processing software. Pre-processing software is used to create the model, generate an...
Computational zone adaptation strategy for unstructured grid users
, Article 48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, 4 January 2010 through 7 January 2010, Orlando, FL ; 2010 ; 9781600867392 (ISBN) ; Darbandi, M ; Schneider, G. E ; Sharif University of Technology
2010
Abstract
This paper presents an advanced grid adaptation strategy to be used by unstructured grid users. The idea behind this strategy originates from the need for automatic control of computational grids during iterative procedures utilized by fluid flow solvers. This strategy eliminates unnecessary grid computations by dividing the unstructured grid into active and inactive zones automatically. The active zones are extended automatically in order to capture the propagation of disturbances in solution domain. In this work, we focus to solve the grid deformations which are imposed in some portions of the main body and are propagated into computational domain during the iterative solutions. To achieve...