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PARA
2004
Springer
15 years 6 months ago
Parallel Hybrid Sparse Solvers Through Flexible Incomplete Cholesky Preconditioning
Abstract. We consider parallel preconditioning schemes to accelerate the convergence of Conjugate Gradients (CG) for sparse linear system solution. We develop methods for construct...
Keita Teranishi, Padma Raghavan
GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
15 years 7 months ago
SNDL-MOEA: stored non-domination level MOEA
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilke...
CORR
2008
Springer
113views Education» more  CORR 2008»
15 years 1 months ago
Gaussian Belief Propagation Solver for Systems of Linear Equations
The canonical problem of solving a system of linear equations arises in numerous contexts in information theory, communication theory, and related fields. In this contribution, we ...
Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny B...
CISS
2010
IEEE
14 years 5 months ago
On the LASSO and Dantzig selector equivalence
—Recovery of sparse signals from noisy observations is a problem that arises in many information processing contexts. LASSO and the Dantzig selector (DS) are two well-known schem...
Muhammad Salman Asif, Justin K. Romberg
CEC
2007
IEEE
15 years 7 months ago
Convergence and rate of convergence of a foraging ant model
— We present an ant model that solves a discrete foraging problem. We describe simulations and provide a complete convergence analysis: we show that the ant population computes t...
Amine M. Boumaza, Bruno Scherrer