Results 211 to 220 of about 13,013 (308)
High Relative Accuracy Computations With Covariance Matrices of Order Statistics
ABSTRACT In many statistical applications, numerical computations with covariance matrices need to be performed. The error made when performing such numerical computations increases with the condition number of the covariance matrix, which is related to the number of variables and the strength of the correlation between the variables. In a recent work,
Juan Baz +3 more
wiley +1 more source
Dynamical study of optical soliton solutions of time-fractional perturbed model in ultrafast optical fibers. [PDF]
Ouahid L +7 more
europepmc +1 more source
A robust Gated-PINN to resolve local minima issues in solving differential algebraic equations
S.J. Lee, Byung‐Tak Lee, Seok Kap Ko
openalex +1 more source
ABSTRACT We investigate some chemostat models incorporating wall growth, competition, random fluctuations on the dilution rate, and different consumption functions (Monod and Haldane). We analyze the asymptotic behavior of the solutions of the corresponding random differential systems to establish conditions on the model parameters under which the ...
Javier López‐de‐la‐Cruz +2 more
wiley +1 more source
Format-Preserving Reduction of Canonical Nonlinear Models. [PDF]
Voit EO.
europepmc +1 more source
Differential-Boundary Equations with Algebraic Terms and Associated Boundary Value Problems
Zhanar Artykbayeva +1 more
openalex +1 more source
ABSTRACT Purpose To improve slice profile consistency across echo trains in turbo spin echo (TSE) imaging, thereby reducing image blurring and increasing the accuracy of multi echo spin echo T2$$ {T}_2 $$ mapping. Methods Excitation and refocusing RF pulses were optimized for TSE using a differentiable extended phase graph model that incorporates the ...
Madison M. Augelli +3 more
wiley +1 more source
Innovative solutions for lossy nonlinear transmission lines model using a modified extended mapping approach with fractional effects. [PDF]
Hussein HH, Alexan W, Kandil SA.
europepmc +1 more source
ABSTRACT Modern engineering systems require advanced uncertainty‐aware model updating methods that address parameter correlations beyond conventional interval analysis. This paper proposes a novel framework integrating Riemannian manifold theory with Gaussian Process Regression (GPR) for systems governed by Symmetric Positive‐Definite (SPD) matrix ...
Yanhe Tao +3 more
wiley +1 more source
Enhanced Numerical Modeling of Non-Newtonian Particle-Laden Flows: Insights from the Carreau-Yasuda Model in Circular Tubes. [PDF]
Amangeldi M, Wei D, Perveen A, Zhang D.
europepmc +1 more source

