Sciweavers

4277 search results - page 655 / 856
» On Multiple Linear Approximations
Sort
View
CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 6 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
ALGORITHMICA
2000
161views more  ALGORITHMICA 2000»
15 years 6 months ago
Binary Searching with Nonuniform Costs and Its Application to Text Retrieval
We study the problem of minimizing the expected cost of binary searching for data where the access cost is not fixed and depends on the last accessed element, such as data stored i...
Gonzalo Navarro, Ricardo A. Baeza-Yates, Eduardo F...
MMAS
2011
Springer
15 years 1 months ago
Scalable Bayesian Reduced-Order Models for Simulating High-Dimensional Multiscale Dynamical Systems
While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
Phaedon-Stelios Koutsourelakis, Elias Bilionis
SIAMMAX
2010
146views more  SIAMMAX 2010»
15 years 1 months ago
A Comparison of Two-Level Preconditioners Based on Multigrid and Deflation
It is well-known that two-level and multi-level preconditioned conjugate gradient (PCG) methods provide efficient techniques for solving large and sparse linear systems whose coeff...
J. M. Tang, S. P. MacLachlan, Reinhard Nabben, C. ...
TIT
2010
110views Education» more  TIT 2010»
15 years 1 months ago
Error rates of the maximum-likelihood detector for arbitrary constellations: convex/concave behavior and applications
Motivated by a recent surge of interest in convex optimization techniques, convexity/concavity properties of error rates of the maximum likelihood detector operating in the AWGN ch...
Sergey Loyka, Victoria Kostina, François Ga...