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FOCS
2007
IEEE
14 years 2 months ago
On the Hardness and Smoothed Complexity of Quasi-Concave Minimization
In this paper, we resolve the smoothed and approximative complexity of low-rank quasi-concave minimization, providing both upper and lower bounds. As an upper bound, we provide th...
Jonathan A. Kelner, Evdokia Nikolova
IPPS
1998
IEEE
14 years 21 hour ago
Ultrafast Randomized Parallel Construction and Approximation Algorithms for Spanning Forests in Dense Graphs
We present a rst randomized Ologk n time and On+m work CRCWPRAM algorithm for nding a spanning forest of an undirected dense graph with n vertices. Furthermore we construct a rando...
Anders Dessmark, Carsten Dorgerloh, Andrzej Lingas...
CGF
1999
79views more  CGF 1999»
13 years 7 months ago
Stochastic Iteration for Non-diffuse Global Illumination
This paper presents a single-pass, view-dependent method to solve the rendering equation, using a stochastic iterational scheme where the transport operator is selected randomly i...
László Szirmay-Kalos
ISCI
2010
118views more  ISCI 2010»
13 years 6 months ago
Approximations of upper and lower probabilities by measurable selections
A random set can be regarded as the result of the imprecise observation of a random variable. Following this interpretation, we study to which extent the upper and lower probabili...
Enrique Miranda, Inés Couso, Pedro Gil
ICANN
2001
Springer
14 years 7 days ago
Fast Curvature Matrix-Vector Products
The method of conjugate gradients provides a very effective way to optimize large, deterministic systems by gradient descent. In its standard form, however, it is not amenable to ...
Nicol N. Schraudolph