Articles with "penalty function" as a keyword



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Introduction of a bounded penalty function in contact‐assisted simulations of protein structures to omit false restraints

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Published in 2019 at "Journal of Computational Chemistry"

DOI: 10.1002/jcc.25847

Abstract: Contact‐assisted simulations, the contacts being predicted or determined experimentally, have become very important in the determination of the structures of proteins and other biological macromolecules. In this work, the effect of contact‐distance restraints on the… read more here.

Keywords: contact assisted; penalty function; bounded penalty; assisted simulations ... See more keywords
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w Dynamically Modified Penalty Function for Control of Mitsubishi Robotic Arm in Real Time

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Published in 2018 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2018.11.420

Abstract: Abstract An industrial robot-manipulator with six degrees of freedom is considered. The essence is to track a given robot trajectory including detecting and avoiding obstacles in the manipulator’s path. The problem of controlling such a… read more here.

Keywords: penalty function; control; real time;
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Horizontal Layered Scheduling ADMM Penalized Decoder Based on the Improved Penalty Function for LDPC

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3224226

Abstract: For low-density parity-check (LDPC) codes, reducing the number of Euclidean projections, choosing a suitable scheduling strategy, and devising an improved penalty function are three effective ways to increase the alternating direction method of multipliers (ADMM)… read more here.

Keywords: admm penalized; penalty function; improved penalty; decoder ... See more keywords
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Learning Convex Regularizers for Optimal Bayesian Denoising

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Published in 2018 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2017.2777407

Abstract: We propose a data-driven algorithm for the Bayesian estimation of stochastic processes from noisy observations. The primary statistical properties of the sought signal are specified by the penalty function (i.e., negative logarithm of the prior… read more here.

Keywords: optimal bayesian; penalty function; learning convex; convex regularizers ... See more keywords