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EOR
2006
59views more  EOR 2006»
15 years 6 months ago
Sensitivity analysis in linear optimization: Invariant support set intervals
Sensitivity analysis is one of the most interesting and preoccupying areas in optimization. Many attempts are made to investigate the problem's behavior when the input data c...
Alireza Ghaffari Hadigheh, Tamás Terlaky
MANSCI
2008
75views more  MANSCI 2008»
15 years 6 months ago
Staffing Multiskill Call Centers via Linear Programming and Simulation
We study an iterative cutting-plane algorithm on an integer program, for minimizing the staffing costs of a multiskill call center subject to service-level requirements which are e...
Mehmet Tolga Çezik, Pierre L'Ecuyer
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 4 months ago
Least Squares Superposition Codes of Moderate Dictionary Size, Reliable at Rates up to Capacity
Sparse superposition codes are developed for the additive white Gaussian noise channel with average codeword power constraint. Codewords are linear combinations of subsets of vecto...
Andrew R. Barron, Antony Joseph
COMPGEOM
2005
ACM
15 years 8 months ago
Fast construction of nets in low dimensional metrics, and their applications
We present a near linear time algorithm for constructing hierarchical nets in finite metric spaces with constant doubling dimension. This data-structure is then applied to obtain...
Sariel Har-Peled, Manor Mendel
ESANN
2008
15 years 8 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...