Results 21 to 30 of about 1,014,881 (173)

Some quantitative characteristics of error covariance for Kalman filters

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2021
Some quantitative characteristics of error covariance are studied for linear Kalman filters. These quantitative characteristics include the peak value and location in the matrix, the decay rate from peak to bottom, and some algebraic constraints of the ...
Wei Kang, Liang Xu
doaj   +1 more source

New estimations on the upper bounds for the nuclear norm of a tensor [PDF]

open access: yesJournal of Inequalities and Applications, 2018
Using the orthogonal rank of the tensor, a new estimation method for the upper bounds on the nuclear norms is presented and some new tight upper bounds on the nuclear norms are established. Taking into account the structure information of the tensor, an important factor affecting the upper bounds is discussed and some corresponding properties related ...
Xu Kong, Jicheng Li, Xiaolong Wang
openaire   +3 more sources

Several Dynamic Properties of Solutions to a Generalized Camassa-Holm Equation

open access: yesAbstract and Applied Analysis, 2013
For a nonlinear generalization of the Camassa-Holm equation, we investigate the dynamic properties of solutions for the equation under the assumption that the initial value u0(x) lies in the space H1(R).
Zheng Yin
doaj   +1 more source

Global weak solutions to a nonlinear equation with fourth order nonlinearities

open access: yesBoundary Value Problems, 2023
Global weak solution for a nonlinear model with forth order nonlinearities and conserved quantities is considered. Assuming its initial value satisfies certain assumptions that are weaker than the sign condition, we derive a higher integrability estimate
Jiangang Tang, Miao Liu, Shaoyong Lai
doaj   +1 more source

Blow-up for a viscoelastic von Karman equation with strong damping and variable exponent source terms

open access: yesBoundary Value Problems, 2021
In this article, we deal with a strongly damped von Karman equation with variable exponent source and memory effects. We investigate blow-up results of solutions with three levels of initial energy such as non-positive initial energy, certain positive ...
Sun-Hye Park
doaj   +1 more source

Estimating the Impact of New Health Price Transparency Policies

open access: yesInquiry: The Journal of Health Care Organization, Provision, and Financing, 2023
This analysis investigates and scores the impact of new health price transparency rules. Using a set of novel data sources, we estimate substantial savings are possible following the implementation of the insurer price transparency rule. Specifically, we
Stephen T. Parente PhD
doaj   +1 more source

An upper bound on binomial coefficients in the de Moivre – Laplace form

open access: yesЖурнал Белорусского государственного университета: Математика, информатика, 2022
We provide an upper bound on binomial coefficients that holds over the entire parameter range an whose form repeats the form of the de Moivre – Laplace approximation of the symmetric binomial distribution.
Sergey V. Agievich
doaj   +1 more source

Precision-Guaranteed Quantum Metrology

open access: yes, 2015
Quantum metrology is a general term for methods to precisely estimate the value of an unknown parameter by actively using quantum resources. In particular, some classes of entangled states can be used to significantly suppress the estimation error. Here,
Sugiyama, Takanori
core   +1 more source

Study of the Tool Geometry Influence in Indentation for the Analysis and Validation of the New Modular Upper Bound Technique

open access: yesApplied Sciences, 2016
Focusing on incremental bulk metal forming processes, the indentation process is gaining interest as a fundamental part of these kinds of processes. This paper presents the analysis of the pressure obtained in indentation under the influence of different
Carolina Bermudo   +3 more
doaj   +1 more source

Performance of Regression Models as a Function of Experiment Noise

open access: yesBioinformatics and Biology Insights, 2021
Background: A challenge in developing machine learning regression models is that it is difficult to know whether maximal performance has been reached on the test dataset, or whether further model improvement is possible.
Gang Li   +7 more
doaj   +1 more source

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