Results 61 to 70 of about 1,514,703 (285)

On the condition number of the total least squares problem [PDF]

open access: yesNumerische Mathematik, 2013
27 pages, 2 figures.
Zhongxiao Jia, Bingyu Li
openaire   +2 more sources

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm   +11 more
wiley   +1 more source

Improving Ensemble Forecasting Using Total Least Squares and Lead-Time Dependent Bias Correction

open access: yesAtmosphere, 2020
Numerical weather prediction (NWP) models produce a quantitative precipitation forecast (QPF), which is vital for a wide range of applications, especially for accurate flash flood forecasting.
Aida Jabbari, Deg-Hyo Bae
doaj   +1 more source

An Introduction to Total Least Squares

open access: yes, 1996
The method of ``Total Least Squares'' is proposed as a more natural way (than ordinary least squares) to approximate the data if both the matrix and and the right-hand side are contaminated by ``errors''. In this tutorial note, we give a elementary unified view of ordinary and total least squares problems and their solution.
openaire   +4 more sources

Mapping the evolution of mitochondrial complex I through structural variation

open access: yesFEBS Letters, EarlyView.
Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin   +2 more
wiley   +1 more source

Consistency of System Identification by Global Total Least Squares [PDF]

open access: yes, 1996
Global total least squares (GTLS) is a method for the identification of linear systems where no distinction between input and output variables is required. This method has been developed within the deterministic behavioural approach to systems.
Heij, C. (Christiaan), Scherrer, W.
core   +2 more sources

Total Least Squares and Chebyshev Norm

open access: yesProcedia Computer Science, 2015
AbstractWe investigate the total least square problem (TLS) with Chebyshev norm instead of the traditionally used Frobenius norm. The use of Chebyshev norm is motivated by the need for robust solutions. In order to solve the problem, we introduce interval computation and use many of the results obtained there.
Milan Hladík, Michal Cerný
openaire   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

open access: yesFEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li   +2 more
wiley   +1 more source

Use of Total Least Squares Adjustment in Geodetic Applications

open access: yesApplied Sciences
This article discusses the method of computing the values of the unknowns under the condition of the minimum sum of the squares of the residuals of the observations, also known as the least squares method, with the additional condition of taking into ...
Aleš Marjetič   +2 more
doaj   +1 more source

On weighted total least squares adjustment for solving the nonlinear problems

open access: yesJournal of Geodetic Science, 2014
In the classical geodetic data processing, a non- linear problem always can be converted to a linear least squares adjustment. However, the errors in Jacob matrix are often not being considered when using the least square method to estimate the optimal ...
Hu C., Chen Y., Peng Y.
doaj   +1 more source

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