Search
w/in this Title
for Titles
All Reviews
ACM Transactions on Mathematical Software
ACM Press
Options:
Date Reviewed
Title
Author
Publisher
Published Date
Descending Order
Ascending Order
110 of 366 reviews
Date Reviewed
randUTV: a blocked randomized algorithm for computing a rankrevealing UTV factorization
Martinsson P., QuintanaOrtí G., Heavner N. ACM Transactions on Mathematical Software 45(1): 126, 2019. Type: Article
Matrix singular value decomposition (SVD) has broad applications in both computational linear algebra and data analysis. Robust SVD algorithms and sophisticated software implementations have been available in the literature for decades. However, e...
Jul 12 2021
SparseX: a library for highperformance sparse matrixvector multiplication on multicore platforms
Elafrou A., Karakasis V., Gkountouvas T., Kourtis K., Goumas G., Koziris N. ACM Transactions on Mathematical Software 44(3): 132, 2018. Type: Article
The treatment of many scientific and engineering problems leads nearly always to huge computational tasks, which can cause great difficulties even when modern highspeed parallel computers are available. Matrixvector multiplications are very ofte...
Sep 14 2020
Computing the braid monodromy of completely reducible
n
gonal curves
Aktas M., Akbas E. ACM Transactions on Mathematical Software 45(1): 111, 2019. Type: Article
The Babylonian quest to solve polynomial equations ushered in monodromy and geometric perceptions of how objects exhibit singularity behaviors. The realworld application of braid monodromy is more complicated than other permutation groups. How sh...
Sep 26 2019
Algorithm 995: an efficient parallel anisotropic Delaunay mesh generator for twodimensional finite element analysis
Pardue J., Chernikov A. ACM Transactions on Mathematical Software 45(3): 130, 2019. Type: Article
Finite element analysis (FEA) depends on meshes that approximate the artifact to be analyzed. Starting with an initial mesh, an FEA development pipeline produces more and more refined meshes in an iterative process until the solution of the partia...
Sep 23 2019
Algorithm 993: efficient computation with Kronecker products
Fackler P. ACM Transactions on Mathematical Software 45(2): 19, 2019. Type: Article
The Kronecker product of two matrices replaces each element of the first matrix with a multiple of a copy of the second matrix. The history, applications, and properties of the Kronecker and the symmetric products are well known [1,2]. For example...
Aug 14 2019
Algorithm 980: sparse QR factorization on the GPU
Yeralan S., Davis T., SidLakhdar W., Ranka S. ACM Transactions on Mathematical Software 44(2): 129, 2017. Type: Article
Many largescale scientific and engineering computational problems lead, after some kind of discretization, to the solution of huge systems of linear algebraic equations and/or linear least squares problems containing many hundreds of millions of ...
Mar 14 2018
Numerically aware orderings for sparse symmetric indefinite linear systems
Hogg J., Scott J., Thorne S. ACM Transactions on Mathematical Software 44(2): 122, 2017. Type: Article
The
LDL
^{T}
decomposition of a real symmetric matrix where
L
is lower triangular with unit diagonal and
D
diagonal except for 2x2 blocks is a challenge when the matrix is sparse and ...
Nov 16 2017
Topologyoriented incremental algorithm for the robust construction of the Voronoi diagrams of disks
Lee M., Sugihara K., Kim D. ACM Transactions on Mathematical Software 43(2): 123, 2016. Type: Article
Voronoi diagrams are important in many applications that range from theoretical computing to computational geometry, to computer graphics and computer vision. The relatively new problem of computing the Voronoi diagram for a set of geometry primit...
Jan 20 2017
On BLAS level3 implementations of common solvers for (quasi) triangular generalized Lyapunov equations
Köhler M., Saak J. ACM Transactions on Mathematical Software 43(1): 123, 2016. Type: Article
Each of the generalized Lyapunov matrix equations can be seen simply as a system of linear equations in the elements of the unknown matrix
X
. For numerical solutions, however, it is usually kept in its matrix form. The continuou...
Oct 20 2016
A high performance QDWHSVD solver using hardware accelerators
Sukkari D., Ltaief H., Keyes D. ACM Transactions on Mathematical Software 43(1): 125, 2016. Type: Article
To make effective use of modern computer hardware, algorithms have to be carefully designed with concurrency in mind: in particular, they need to efficiently utilize the multiple cores provided by the computer’s generalpurpose central proce...
Oct 20 2016
Display
5
10
15
25
50
100
per column
Reproduction in whole or in part without permission is prohibited. Copyright © 20002021 ThinkLoud, Inc.
Terms of Use

Privacy Policy