Results 41 to 50 of about 539,466 (113)
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
Accurate Computations with Block Checkerboard Pattern Matrices
In this work, block checkerboard sign pattern matrices are introduced and analyzed. They satisfy the generalized Perron–Frobenius theorem. We study the case related to total positive matrices in order to guarantee bidiagonal decompositions and some ...
Jorge Delgado +2 more
doaj +1 more source
Coupling Intuitive Physics Into Deep Learning for Soil Moisture Flow Processes Learning
Abstract Soil water flow processes in the unsaturated zone support ecosystems and regulate water, energy, and biogeochemical cycles. Recently, deep learning (DL) approaches have significantly advanced soil moisture (SM) prediction tasks yet still challenging to interpret.
Leilei He +6 more
wiley +1 more source
The Climate Modeling Alliance Atmosphere Dynamical Core: Concepts, Numerics, and Scaling
Abstract This paper presents the dynamical core of the Climate Modeling Alliance (CliMA) atmosphere model, designed for efficient simulation of a wide range of atmospheric flows across scales. The core uses the nonhydrostatic equations of motion for a deep atmosphere, discretized with a hybrid approach that combines a spectral element method (SEM) in ...
Dennis Yatunin +18 more
wiley +1 more source
A Fixed‐Point Discrepancy Approach to Tikhonov Regularization Parameter Selection
This paper presents a unified comparative study of Tikhonov regularization parameter selection for linear ill‐posed problems with both data noise and operator perturbations. We integrate the generalized discrepancy principle (GDP), its fixed‐point formulation (GDP–FP), and the Arnoldi–Neubauer projection approach (PGDP–AN) within a common analytical ...
Maged Alkilayh, Smritijit Sen
wiley +1 more source
High Relative Accuracy With Collocation Matrices of q$$ q $$‐Jacobi Polynomials
ABSTRACT Little q$$ q $$‐Jacobi polynomials belong to the field of quantum calculus. This article obtains the bidiagonal decomposition of the collocation matrices of these polynomials, showing that, in many cases, it can be constructed to high relative accuracy (HRA).
Jorge Delgado +2 more
wiley +1 more source
Krylov Subspace Based FISTA‐Type Methods for Linear Discrete Ill‐Posed Problems
ABSTRACT Several iterative soft‐thresholding algorithms, such as FISTA, have been proposed in the literature for solving regularized linear discrete inverse problems that arise in various applications in science and engineering. These algorithms are easy to implement, but their rates of convergence may be slow.
Alessandro Buccini +3 more
wiley +1 more source
Minimum‐Time Output Control by Reference Interpolation for Linear Multivariable Systems
For linear multivariable systems, we consider the minimum‐time output control problem with explicit constraints on the inputs' intensity and piecewise‐constant controls. We face the problem by imposing that each output passes through a given set of points.
Luigi D'Alfonso +2 more
wiley +1 more source
The authors propose a self‐triggered synchronisation control method of a general linear time‐invariant multi‐agent system through a cloud repository. Under asynchronous communication through a cloud, each agent has to handle uncertainties on the behaviours of its neighbouring agents as well as itself.
Takumi Namba, Kiyotsugu Takaba
wiley +1 more source
Total positivity and high relative accuracy for several classes of Hankel matrices
Summary Gramian matrices with respect to inner products defined for Hilbert spaces supported on bounded and unbounded intervals are represented through a bidiagonal factorization. It is proved that the considered matrices are strictly totally positive Hankel matrices and their catalecticant determinants are also calculated.
E. Mainar, J.M. Peña, B. Rubio
wiley +1 more source

