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Quaternion – used to optimise RMSD calculations; Kabsch algorithm – an algorithm used to minimize the RMSD by first finding the best rotation [3] GDT – a different structure comparison measure; TM-score – a different structure comparison measure; Longest continuous segment (LCS) — A different structure comparison measure
In experimental psychology, the RMSD is used to assess how well mathematical or computational models of behavior explain the empirically observed behavior. In GIS, the RMSD is one measure used to assess the accuracy of spatial analysis and remote sensing. In hydrogeology, RMSD and NRMSD are used to evaluate the calibration of a groundwater ...
The Kabsch algorithm, also known as the Kabsch-Umeyama algorithm, [1] named after Wolfgang Kabsch and Shinji Umeyama, is a method for calculating the optimal rotation matrix that minimizes the RMSD (root mean squared deviation) between two paired sets of points.
In statistical mechanics, the mean squared displacement (MSD, also mean square displacement, average squared displacement, or mean square fluctuation) is a measure of the deviation of the position of a particle with respect to a reference position over time.
In mathematics, the root mean square (abbrev. RMS, RMS or rms) of a set of numbers is the square root of the set's mean square. [1] Given a set , its RMS is denoted as either or .
A man was left in critical but stable condition after he was pushed onto the subway tracks at the 18th Street station in Manhattan's Chelsea neighborhood. The 45 -year-old victim was pushed onto ...
WASHINGTON (Reuters) -The Justice Department late on Wednesday asked a U.S. appeals court to reject an emergency bid by TikTok to temporarily block a law that would require its Chinese parent ...
MD was originally developed in the early 1950s, following earlier successes with Monte Carlo simulations—which themselves date back to the eighteenth century, in the Buffon's needle problem for example—but was popularized for statistical mechanics at Los Alamos National Laboratory by Marshall Rosenbluth and Nicholas Metropolis in what is known today as the Metropolis–Hastings algorithm.