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» Formulas for approximating pseudo-Boolean random variables
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DAM
2008
102views more  DAM 2008»
13 years 4 months ago
Formulas for approximating pseudo-Boolean random variables
We consider {0, 1}n as a sample space with a probability measure on it, thus making pseudo-Boolean functions into random variables. We then derive explicit formulas for approximat...
Guoli Ding, Robert F. Lax, Jianhua Chen, Peter P. ...
JACIII
2007
99views more  JACIII 2007»
13 years 4 months ago
Asymptotic Behavior of Linear Approximations of Pseudo-Boolean Functions
We study the problem of approximating pseudoBoolean functions by linear pseudo-Boolean functions. Pseudo-Boolean functions generalize ordinary Boolean functions by allowing the fu...
Guoli Ding, Robert F. Lax, Peter P. Chen, Jianhua ...
CORR
2006
Springer
123views Education» more  CORR 2006»
13 years 4 months ago
Counting good truth assignments of random k-SAT formulae
We present a deterministic approximation algorithm to compute logarithm of the number of `good' truth assignments for a random k-satisfiability (k-SAT) formula in polynomial ...
Andrea Montanari, Devavrat Shah
VTC
2008
IEEE
125views Communications» more  VTC 2008»
13 years 11 months ago
A General Formula for Log-MGF Computation: Application to the Approximation of Log-Normal Power Sum via Pearson Type IV Distribu
Abstract— In [1], we have recently proposed a general approach for approximating the power sum of Log–Normal Random Variables (RVs) by using the Pearson system of distributions...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci
DAGSTUHL
2004
13 years 6 months ago
On the Complexity of Parabolic Initial Value Problems with Variable Drift
We study the intrinsic difficulty of solving linear parabolic initial value problems numerically at a single point. We present a worst case analysis for deterministic as well as fo...
Knut Petras, Klaus Ritter