Automatic detection and concealment of specular reflections for endoscopic images
G Karapetyan, H Sarukhanyan - Ninth International Conference …, 2013 - ieeexplore.ieee.org
Endoscopy is a minimally invasive medical diagnostic procedure, which is used for
observing the surfaces of organs inside human body. The surfaces usually contain specular …
observing the surfaces of organs inside human body. The surfaces usually contain specular …
Monte Carlo methods for matrix computations on the grid
S Branford, C Sahin, A Thandavan, C Weihrauch… - Future Generation …, 2008 - Elsevier
Many scientific and engineering applications involve inverting large matrices or solving
systems of linear algebraic equations. Solving these problems with proven algorithms for …
systems of linear algebraic equations. Solving these problems with proven algorithms for …
A Monte Carlo approach to sparse approximate inverse matrix computations
J Straßburg, VN Alexandrov - Procedia Computer Science, 2013 - Elsevier
In this paper we present a stochastic SPAI pre-conditioner. In contrast to the standard
deterministic SPAI pre-conditioners that use the Frobenius norm, we present a Monte Carlo …
deterministic SPAI pre-conditioners that use the Frobenius norm, we present a Monte Carlo …
[HTML][HTML] Towards Monte Carlo preconditioning approach and hybrid Monte Carlo algorithms for matrix computations
V Alexandrov, OA Esquivel-Flores - Computers & Mathematics with …, 2015 - Elsevier
An enhanced version of a stochastic SParse Approximate Inverse (SPAI) preconditioner for
general matrices is presented in this paper. This method is used in contrast to the standard …
general matrices is presented in this paper. This method is used in contrast to the standard …
On the preconditioned quasi-Monte Carlo algorithm for matrix computations
V Alexandrov, O Esquivel-Flores, S Ivanovska… - Large-Scale Scientific …, 2015 - Springer
In this paper we present a quasi-Monte Carlo Sparse Approximate Inverse (SPAI)
preconditioner. In contrast to the standard deterministic SPAI preconditioners that use the …
preconditioner. In contrast to the standard deterministic SPAI preconditioners that use the …
Enhancing monte carlo preconditioning methods for matrix computations
J Straßburg, V Alexandrov - Procedia Computer Science, 2014 - Elsevier
An enhanced version of a stochastic SParse Approximate Inverse (SPAI) preconditioner for
general matrices is presented. This method is used in contrast to the standard deterministic …
general matrices is presented. This method is used in contrast to the standard deterministic …
Parallel hybrid Monte Carlo algorithms for matrix computations
In this paper we consider hybrid (fast stochastic approximation and deterministic refinement)
algorithms for Matrix Inversion (MI) and Solving Systems of Linear Equations (SLAE). Monte …
algorithms for Matrix Inversion (MI) and Solving Systems of Linear Equations (SLAE). Monte …
A sparse parallel hybrid Monte Carlo algorithm for matrix computations
S Branford, C Weihrauch, V Alexandrov - … , Atlanta, GA, USA, May 22-25 …, 2005 - Springer
In this paper we introduce a new algorithm, based on the successful work of Fathi and
Alexandrov, on hybrid Monte Carlo algorithms for matrix inversion and solving systems of …
Alexandrov, on hybrid Monte Carlo algorithms for matrix inversion and solving systems of …
On scalability behaviour of Monte Carlo sparse approximate inverse for matrix computations
J Strassburg, V Alexandrov - Proceedings of the Workshop on Latest …, 2013 - dl.acm.org
This paper presents a Monte Carlo SPAI pre-conditioner. In contrast to the standard
deterministic SPAI pre-conditioners that use the Frobenius norm, a Monte Carlo alternative …
deterministic SPAI pre-conditioners that use the Frobenius norm, a Monte Carlo alternative …
Quasi-Monte Carlo methods for some linear algebra problems. Convergence and complexity
A Karaivanova - Serdica Journal of Computing, 2010 - serdica-comp.math.bas.bg
Abstract We present quasi-Monte Carlo analogs of Monte Carlo methods for some linear
algebra problems: solving systems of linear equations, computing extreme eigenvalues, and …
algebra problems: solving systems of linear equations, computing extreme eigenvalues, and …