Results 71 to 80 of about 3,218 (198)
Forest Pathology, Volume 56, Issue 2, April 2026.ABSTRACT Oak wilt, caused by Bretziella fagacearum, is a destructive vascular disease of oaks in North America, yet fine‐scale spatial localisation of the pathogen in host tissues and on insect vectors remains poorly characterised. In this study, we developed and validated a species‐specific fluorescence in situ hybridisation (FISH) probe targeting the
Martine Blais +3 more
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Macroscopic Market Making Games
Mathematical Finance, Volume 36, Issue 2, Page 352-373, April 2026.ABSTRACT Building on the macroscopic market making framework as a control problem, this paper investigates its extension to stochastic games. In the context of price competition, each agent is benchmarked against the best quote offered by the others. We begin with the linear case.
Ivan Guo, Shijia Jin
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IEEE Access, 2016 Matrix inversion is routinely performed in computational engineering, with coupling matrix filter synthesis considered here as just one of many example applications.
Andrei A. Muller +2 more
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International Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.ABSTRACT The contribution deals with algebraic multigrid (AMG) based preconditioning methods for the iterative solution of a coupled linear system of equations arising in numerical simulations of failure of quasi‐brittle materials using generalized continuum approaches.
Nasser Alkmim +4 more
wiley +1 more source
Journal of Applied Polymer Science, Volume 143, Issue 11, March 15, 2026.Influence of acrylonitrile (ACN) content on the processing behavior and morphological development of PA/NBR thermoplastic vulcanizates. Torque‐time profiles, SEM, and SEM/AFM images show that an intermediate ACN level (38%) promotes improved phase dispersion and morphological uniformity, especially with increased processing time, resulting in the most ...
André Luís dos Santos da Silva +4 more
wiley +1 more source
Accelerating Conjugate Gradient Solvers for Homogenization Problems With Unitary Neural Operators
International Journal for Numerical Methods in Engineering, Volume 127, Issue 5, 15 March 2026.ABSTRACT Rapid and reliable solvers for parametric partial differential equations (PDEs) are needed in many scientific and engineering disciplines. For example, there is a growing demand for composites and architected materials with heterogeneous microstructures.
Julius Herb, Felix Fritzen
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Solving the fractional order integro-differential equations using fractional Jacobi functions
پژوهشهای ریاضی, 2022 In this paper, we are intend to present a numerical algorithm for computing approximate solution of linear and nonlinear Fredholm, Volterra and Fredholm-Volterra integro-differential equations. The approximated solution is written in terms of fractional
Zahra Delkhoush, Maryam Arabameri
doaj
Extensions, Dilations and Functional Models of Infinite Jacobi Matrix [PDF]
Czechoslovak Mathematical Journal, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Breaking Barriers in High‐Order Spectral Methods: The Intrinsic Matrix Approach
International Journal for Numerical Methods in Engineering, Volume 127, Issue 5, 15 March 2026.ABSTRACT This paper introduces a unified framework in Hilbert spaces for applying high‐order differential operators in bounded domains using Chebyshev, Legendre, and Fourier spectral methods. By exploiting the banded structure of differentiation matrices and embedding boundary conditions directly into the operator through a scaling law relating ...
Osvaldo Guimarães, José R. C. Piqueira
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Upward Extension of the Jacobi Matrix for Orthogonal Polynomials
Journal of Approximation Theory, 1996 Orthogonal polynomials on the real line always satisfy a three-term recurrence relation. The recurrence coefficients determine a tridiagonal semi-infinite matrix (Jacobi matrix) which uniquely characterizes the orthogonal polynomials. We investigate new orthogonal polynomials by adding to the Jacobi matrix $r$ new rows and columns, so that the original
Ronveaux, André, Van Assche, Walter
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