Protein structure validation by generalized linear model root-mean-square deviation prediction

Protein structure validation by generalized linear model RMSD prediction

Complete List of Authors: Bagaria, Anurag; Goethe-Universität Frankfurt am Main, Institut für Biophysikalische Chemie Jaravine, Victor; Goethe-Universität Frankfurt am Main, Institut für Biophysikalische Chemie Huang, Yuanpeng; Rutgers University, Department of Molecular Biology and Biochemistry Montelione, Gaetano; Rutgers University, Department of Molecular Biology and Biochemistry Güntert, P...

Computation of Root-Mean-Square Gains of Switched Linear Systems

In this paper we compute the root-mean-square (RMS) gain of a switched linear system when the interval between consecutive switchings is large. The algorithm proposed is based on the fact that a given constant γ provides an upper bound on the RMS gain whenever there is a separation between the stabilizing and the antistabilizing solutions to a set of γ-dependent algebraic Riccati equations. The...

Root-Mean-Square Gains of Switched Linear Systems∗ Technical Report

In this paper we compute the root-mean-square (RMS) gain of a switched linear system when the interval between consecutive switchings is large. The algorithm proposed is based on the fact that a given constant γ provides an upper bound on the RMS gain whenever there is a separation between the stabilizing and the antistabilizing solutions to a set of γ-dependent algebraic Riccati equations. The...

On Weighted Pcm and Mean Square Deviation

Optimization of Generalized Mean-Square Error in Noisy Linear Estimation

A class of least squares problems that arises in linear Bayesian estimation is analyzed. The data vector y is given by the model y = P(Hθ + η) +w, where H is a known matrix, while θ, η, and w are uncorrelated random vectors. The goal is to obtain the best estimate for θ from the measured data. Applications of this estimation problem arise in multisensor data fusion problems and in wireless comm...