Sciweavers

IMCSIT
2010
13 years 1 months ago
Solving a Kind of BVP for ODEs on heterogeneous CPU + CUDA-enabled GPU Systems
The aim of this paper is to show that a special kind of boundary value problem for second-order ordinary differential equations which reduces to the problem of solving a tridiagona...
Przemyslaw Stpiczynski, Joanna Potiopa
SAS
2010
Springer
143views Formal Methods» more  SAS 2010»
13 years 2 months ago
Points-to Analysis as a System of Linear Equations
The efficiency of a points-to analysis is critical for several compiler optimizations and transformations, and has attracted considerable research attention. Despite several advanc...
Rupesh Nasre, Ramaswamy Govindarajan
SIGPRO
2008
113views more  SIGPRO 2008»
13 years 4 months ago
Design of maximally flat IIR filters with flat group delay responses
Digital filters with linear phase responses, that is, constant group delay responses are needed in many applications for signal and image processing. In this paper, a novel method...
Xi Zhang
IPL
2006
84views more  IPL 2006»
13 years 4 months ago
On the hardness of approximating Max-Satisfy
Max-Satisfy is the problem of finding an assignment that satisfies the maximum number of equations in a system of linear equations over Q. We prove that unless NPBPP Max-Satisfy c...
Uriel Feige, Daniel Reichman
CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 4 months ago
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding...
D. Leventhal, A. S. Lewis
APAL
2008
84views more  APAL 2008»
13 years 4 months ago
Resolution over linear equations and multilinear proofs
We develop and study the complexity of propositional proof systems of varying strength extending resolution by allowing it to operate with disjunctions of linear equations instead ...
Ran Raz, Iddo Tzameret
FLAIRS
2004
13 years 6 months ago
Iterative Improvement of Neural Classifiers
A new objective function for neural net classifier design is presented, which has more free parameters than the classical objective function. An iterative minimization technique f...
Jiang Li, Michael T. Manry, Li-min Liu, Changhua Y...
CSC
2006
13 years 6 months ago
Applying Sparse Matrix Solvers to a Glacial Ice Sheet Model
- Two software packages for solving sparse systems of linear equations, SuperLU and UMFPACK, have been integrated with the University of Maine Ice Sheet Model for predicting the fo...
Rodney Jacobs, James Fastook, Aitbala Sargent
ESANN
2008
13 years 6 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
ARC
2008
Springer
115views Hardware» more  ARC 2008»
13 years 6 months ago
A High Throughput FPGA-based Floating Point Conjugate Gradient Implementation
As Field Programmable Gate Arrays (FPGAs) have reached capacities beyond millions of equivalent gates, it becomes possible to accelerate floating-point scientific computing applica...
Antonio Roldao Lopes, George A. Constantinides