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» A new iterative method for solving nonlinear equations
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CISS
2010
IEEE
13 years 12 days ago
Unconstrained minimization of quadratic functions via min-sum
—Gaussian belief propagation is an iterative algorithm for computing the mean of a multivariate Gaussian distribution. Equivalently, the min-sum algorithm can be used to compute ...
Nicholas Ruozzi, Sekhar Tatikonda
IJHIS
2007
89views more  IJHIS 2007»
13 years 8 months ago
A new hybrid heuristic for driver scheduling
This paper describes a new hybrid method based on the application of the Population Training Algorithm (PTA) and linear programming (LP) for generation of schedules for drivers in...
Geraldo R. Mauri, Luiz Antonio Nogueira Lorena
DAC
1997
ACM
14 years 29 days ago
Quadratic Placement Revisited
The “quadratic placement” methodology is rooted in [6] [14] [16] and is reputedly used in many commercial and in-house tools for placement of standard-cell and gate-array desi...
Charles J. Alpert, Tony F. Chan, Dennis J.-H. Huan...
CORR
2007
Springer
120views Education» more  CORR 2007»
13 years 8 months ago
On the Feedback Capacity of Power Constrained Gaussian Noise Channels with Memory
—For a stationary additive Gaussian-noise channel with a rational noise power spectrum of a finite-order L, we derive two new results for the feedback capacity under an average ...
Shaohua Yang, Aleksandar Kavcic, Sekhar Tatikonda
COMPUTING
2004
91views more  COMPUTING 2004»
13 years 8 months ago
A Stabilized Three-field Formulation for Advection-diffusion Equations
In this paper we propose a new stabilized three-field formulation applied to the advection-diffusion equation. Using finite elements with SUPG stabilization in the interior of the...
G. Rapin, G. Lube