cubature


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cu·ba·ture

 (kyo͞o′bə-cho͝or′, -chər)
n.
1. The determination of the volume of a solid.
2. Cubage.

American Heritage® Dictionary of the English Language, Fifth Edition. Copyright © 2016 by Houghton Mifflin Harcourt Publishing Company. Published by Houghton Mifflin Harcourt Publishing Company. All rights reserved.

cubature

(ˈkjuːbətʃə)
n
1. (Mathematics) the determination of the cubic contents of something
2. (Mathematics) Also called: cubage cubic contents
[C17: from cube1 + -ature, on the model of quadrature]
Collins English Dictionary – Complete and Unabridged, 12th Edition 2014 © HarperCollins Publishers 1991, 1994, 1998, 2000, 2003, 2006, 2007, 2009, 2011, 2014

cu•ba•ture

(ˈkyu bə tʃər, -ˌtʃʊər)

n.
1. the determination of the cubic contents of something.
2. cubic contents.
[1670–80; cube1 + -ature, after quadrature]
Random House Kernerman Webster's College Dictionary, © 2010 K Dictionaries Ltd. Copyright 2005, 1997, 1991 by Random House, Inc. All rights reserved.
Translations
References in periodicals archive ?
These efficient alternatives include the unscented transformation [11], the divided-difference numerical integration [12-14], and the cubature quadrature integration [15].
A strong tracking cubature Kalman filter (CKF) [41] that outperformed the EKF was proposed to track the sudden change of SOC value accurately.
Lots of researches concentrate on the numerical approximation methods to solve the Gaussian weighted integral problem, and different approaches result in different local Gaussian filters, such as the cubature Kalman filter [10], the quadrature Kalman filter [11], and related variants [12-14].
Cubature Kalman filter (CKF) proposed by Arasaratnam and Haykin [10,11] decomposes the intractable integral into spherical integral and radial integral, which are approximated by the third-order cubature rule.
To improve the performances of Kalman filter, the algorithms, such as Unscented Kalman Filter (UKF) [11], Cubature Kalman filter (CKF) [12], and Particle Filter (PF) [13], are proposed to deal with nonlinear system.
In 2009, Arasaratnam and Haykin proposed a cubature Kalman filter (CKF) that uses radial quadrature rules for optimization sigma points and weights, enhancing the ability to handle high dimensional nonlinear state estimated accuracy and improving stability.
Looking in turn at novel advances in algorithm design and applications, they consider such topics as elements of random set information fusion, distributed detection and data fusion with heterogeneous sensors, a nonlinear information fusion algorithm for an asynchronous multisensor based on the Cubature Kalman filter, accumulated state densities and their applications in object tracking, a granular sensor-fusion method for regenerative life support systems, feature and data fusion with medical images, and data fusion in intelligent traffic and transportation engineering.
Writing for graduate students and researchers with experience in functional analysis and numerical methods, the authors describe applications for new procedures of approximation, most of which include approximate quasi-interpolation, interpolation, least square approximation, cubature of integral operations and wavelet approximations.
The areas in which such a connection appears include orthogonal polynomials, approximation, cubature formulas and polynomial interpolation.
Additional Key Words and Phrases: Automatic integration, cubature, cubature rules, error estimation, null rules, symmetry, triangular regions
The estimation of real-time vehicle states is achieved using a Cubature Kalman Filter-(CKF-) based algorithm.
[11,12] propose the cubature Kalman filter (CKF) based on the cubature rule (CR).