Results 101 to 110 of about 72,702 (264)
I analyze an unexpected connection between multiple orthogonal polynomials, d d -orthogonal polynomials, production matrices and branched continued fractions. This work can be viewed as a partial extension of Viennotâs combinatorial theory of orthogonal polynomials to the case where the production matrix is lower-Hessenberg but is not ...
openaire +3 more sources
Trustâregion filter algorithms utilizing Hessian information for grayâbox optimization
Abstract Optimizing industrial processes often involves grayâbox models that couple algebraic glassâbox equations with blackâbox components lacking analytic derivatives. Such systems challenge derivativeâbased solvers. The classical trustâregion filter (TRF) algorithm provides a robust framework but requires extensive parameter tuning and numerous ...
Gul Hameed +4 more
wiley +1 more source
The authors evaluated six machineâlearned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Multiple orthogonal polynomials of two real variables
Polynomials known as Multiple Orthogonal Polynomials in a single variable are polynomials that satisfy orthogonality conditions concerning multiple measures and play a significant role in several applications such as Hermite-Pad\'e approximation, random matrix theory or integrable systems.
Lidia FernĂĄndez, Juan Antonio Villegas
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This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of realâworld data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, GuoâWei Wei
wiley +1 more source
A note on certain classes of multivariable q-series transformations
The present note envisage to derive some new classes of multiple q-series transformations and reduction formulae. Special cases in terms ofthe known and new results are also derived.
Sunil Dutt Purohit, Rajendra Kumar Yadav
doaj
We propose a residualâbased adversarialâgradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Uji in Vitro Penghambatan Aktivitas Escherichia coli dengan Tepung Cacing Tanah (Lumbricus rubellus)
This research was conducted to study the inhibition growth of E. coli by using earthworm (Lumbricus rubellus) meal. The earthworm meal was used in various concentrations, i.e. 0, 25, 50, 75 and 100 mg of earthworm meal in 100 ml DMSO for 0%, 25%, 50%, 75%
H. Julendra, A. Sofyan
doaj
The maximally-decoupled method has been considered as a theory to apply an basic idea of an integrability condition to certain multiple parametrized symmetries.
Seiya Nishiyama +4 more
doaj +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source

