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    JSAC
    2006
    81views more  JSAC 2006»
    Fast linearized energy allocation for multimedia loading on multicarrier systems
    13 years 8 months ago
    Fast linearized energy allocation for multimedia loading on multicarrier systems
    Download  viola.usc.edu
    Abstract--Efficient near-optimal energy allocation for multimedia data transmission using multicarrier modulation is investigated. The optimal method typically relies on an iterati...
    Michael A. Enright, C. C. Jay Kuo
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    DM
    2006
    128views more  DM 2006»
    Non-trivial t-designs without repeated blocks exist for all t
    13 years 8 months ago
    Non-trivial t-designs without repeated blocks exist for all t
    Download  did.mat.uni-bayreuth.de
    A computer package is being developed at Bayreuth for the generation and investigation of discrete structures. The package is a C and C++ class library of powerful algorithms endow...
    Luc Teirlinck
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    SIAMSC
    2011
    113views more  SIAMSC 2011»
    An Efficient Higher-Order Fast Multipole Boundary Element Solution for Poisson-Boltzmann-Based Molecular Electrostatics
    13 years 3 months ago
    An Efficient Higher-Order Fast Multipole Boundary Element Solution for Poisson-Boltzmann-Based Molecular Electrostatics
    Download  cvcweb.ices.utexas.edu
    In order to compute polarization energy of biomolecules, we describe a boundary element approach to solving the linearized Poisson–Boltzmann equation. Our approach combines sever...
    Chandrajit L. Bajaj, Shun-Chuan Albert Chen, Alexa...
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    AUTOMATICA
    2011
    241views Artificial Intelligence» more  AUTOMATICA 2011»
    Distributed dynamic programming for discrete-time stochastic control, and idempotent algorithms
    13 years 3 months ago
    Distributed dynamic programming for discrete-time stochastic control, and idempotent algorithms
    Download  maeresearch.ucsd.edu
    Previously, idempotent methods have been found to be extremely fast for solution of dynamic programming equations associated with deterministic control problems. The original meth...
    William M. McEneaney
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    JMLR
    2006
    389views more  JMLR 2006»
    A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
    13 years 8 months ago
    A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
    Download  jmlr.csail.mit.edu
    This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
    Enrique Castillo, Bertha Guijarro-Berdiñas,...
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