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Legged Locomotion in Lattices: Centipede Traversal of Obstacle-Rich Environments. [PDF]

Ann N Y Acad Sci
Pierce CJ, Soto D, Erickson E, Diaz K, Iaschi M, Lay A, Goldman DI.   +6 more
europepmc   +1 more source

Current marijuana use is cross-sectionally associated with accelerated biological aging among U.S. adults: exploring mediating effect of blood cadmium. [PDF]

J Nutr Health Aging
Wei K, Chen X.
europepmc   +1 more source

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Collinearity and Total Least Squares

SIAM Journal on Matrix Analysis and Applications, 1994
The least squares (LS) and total least squares (TLS) methods are commonly used to solve the overdetermined system of equations \(Ax\approx b\). The main objective of this paper is to examine TLS when \(A\) is nearly rank deficient by outlining its differences and similarities to the well-known truncated LS method.
Fierro, Ricardo D., Bunch, James R.
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Perturbation analysis for mixed least squares–total least squares problems

Numerical Linear Algebra with Applications, 2019
SummaryIn many linear parameter estimation problems, one can use the mixed least squares–total least squares (MTLS) approach to solve them. This paper is devoted to the perturbation analysis of the MTLS problem. Firstly, we present the normwise, mixed, and componentwise condition numbers of the MTLS problem, and find that the normwise, mixed, and ...
Bing Zheng, Zhanshan Yang
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Constrained total least squares

ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
The Total Least Squares (TLS) method is a generalized least square technique to solve an overdetermined system of equations Ax\simeqb . The TLS solution differs from the usual Least Square (LS) in that it tries to compensate for arbitrary noise present in both A and b .
T. Abatzoglou, J. Mendel
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Incomplete total least squares

Numerische Mathematik, 1999
Total least squares (TLS) are fitting data points with some model function such that the sum of squared orthogonal distances is minimized. The authors consider situations where the model is such that there might be no perpendiculars from certain data points onto the model function and where one has to replace certain orthogonal distances by shortest ...
Brüntjen, K., Späth, Helmuth
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