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» Iterative solutions to matrix equations of the form AiXBi=Fi
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PRL
2011
13 years 2 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
ENTCS
2008
110views more  ENTCS 2008»
13 years 7 months ago
A New Proposal Of Quasi-Solved Form For Equality Constraint Solving
Most well-known algorithms for equational solving are based on quantifier elimination. This technique iteratively eliminates the innermost block of existential/universal quantifie...
Javier Álvez, Paqui Lucio
IPPS
2000
IEEE
13 years 12 months ago
Ordering Unstructured Meshes for Sparse Matrix Computations on Leading Parallel Systems
Abstract. Computer simulations of realistic applications usually require solving a set of non-linear partial di erential equations PDEs over a nite region. The process of obtaini...
Leonid Oliker, Xiaoye S. Li, Gerd Heber, Rupak Bis...
RA
2003
130views Robotics» more  RA 2003»
13 years 9 months ago
A Parallel Solution Scheme of Inverse Dynamics for Flexible Manipulators
In this paper, we describe a parallel solution scheme of inverse dynamics, and its application to flexible manipulators where elastic deformation and vibration normally occur in c...
Daigoro Isobe, Daisaku Imaizumi
SIAMSC
2010
142views more  SIAMSC 2010»
13 years 5 months ago
Nested Iteration and First-Order System Least Squares for Incompressible, Resistive Magnetohydrodynamics
This paper develops a nested iteration algorithm to solve time-dependent nonlinear systems of partial differential equations. For each time step, Newton’s method is used to form...
J. H. Adler, Thomas A. Manteuffel, Stephen F. McCo...