Results 51 to 60 of about 444,182 (307)

New Possibilities and Applications of the Least Squares Collocation Method

open access: yesEPJ Web of Conferences, 2018
Least squares collocation method (LSC) is a versatile numerical method for solving boundary value problems for PDE. The present article demonstrates the abilities of LSC to solve various problems – in particular, calculations of bending of isotropic ...
Shapeev Vasiliy   +3 more
doaj   +1 more source

Adaptive Phasor Estimation Algorithm Based on a Least Squares Method

open access: yesEnergies, 2019
This paper proposes an adaptive phasor estimation algorithm based on a least square method that can suppress the adverse effect of an exponentially decreasing DC offset component in a phasor estimation process. The proposed algorithm is composed of three
Woo-Joong Kim   +2 more
doaj   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

open access: yesMolecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera   +11 more
wiley   +1 more source

Solving the Least Squares Method problem in the AHP for 3 X 3 and 4 X 4 matrices [PDF]

open access: yes, 2005
The Analytic Hierarchy Process (AHP) is one of the most popular methods used in Multi-Attribute Decision Making. The Eigenvector Method (EM) and some distance minimizing methods such as the Least Squares Method (LSM) are of the possible tools for ...
Bozóki, Sándor
core  

Orthogonal-least-squares regression: A unified approach for data modelling [PDF]

open access: yes, 2008
A unified approach is proposed for data modelling that includes supervised regression and classification applications as well as unsupervised probability density function estimation. The orthogonal-least-squares regression based on the leave-one-out test
Harris, C. J.   +13 more
core   +1 more source

Identification of the Fractional-Order Systems: A Frequency Domain Approach [PDF]

open access: yesActa Montanistica Slovaca, 2011
The paper deals with a comparison of different optimization methods to identification of fractional order dynamical systems.The fractional models of the examples of physical systems - ultracapacitors - are established.
Andrzej Dzieliński   +5 more
doaj  

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

open access: yesMolecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh   +12 more
wiley   +1 more source

Local Regularization Assisted Orthogonal Least Squares Regression [PDF]

open access: yes, 2006
A locally regularized orthogonal least squares (LROLS) algorithm is proposed for constructing parsimonious or sparse regression models that generalize well.
Chen, S.
core  

Moving Least Squares Method for a One-Dimensional Parabolic Inverse Problem

open access: yesAbstract and Applied Analysis, 2014
This paper investigates the numerical solution of a class of one-dimensional inverse parabolic problems using the moving least squares approximation; the inverse problem is the determination of an unknown source term depending on time.
Baiyu Wang
doaj   +1 more source

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