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JUCS
2008
151views more  JUCS 2008»
15 years 6 months ago
The Bit-Complexity of Finding Nearly Optimal Quadrature Rules for Weighted Integration
: Given a probability measure and a positive integer n. How to choose n knots and n weights such that the corresponding quadrature rule has the minimum worst-case error when appli...
Volker Bosserhoff
JSAC
2006
106views more  JSAC 2006»
15 years 6 months ago
Mathematical Decomposition Techniques for Distributed Cross-Layer Optimization of Data Networks
Abstract--Network performance can be increased if the traditionally separated network layers are jointly optimized. Recently, network utility maximization has emerged as a powerful...
Björn Johansson, Pablo Soldati, Mikael Johans...
CCE
2006
15 years 6 months ago
Hierarchical multiscale model-based design of experiments, catalysts, and reactors for fuel processing
In this paper a hierarchical multiscale simulation framework is outlined and experimental data injection into this framework is discussed. Specifically, we discuss multiscale mode...
D. G. Vlachos, A. B. Mhadeshwar, N. S. Kaisare
ECCV
2010
Springer
15 years 8 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
CORR
2008
Springer
173views Education» more  CORR 2008»
15 years 6 months ago
Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications
In this paper, we propose a general cross-layer optimization framework in which we explicitly consider both the heterogeneous and dynamically changing characteristics of delay-sens...
Fangwen Fu, Mihaela van der Schaar