Results 81 to 90 of about 230,209 (328)

On some extensions for degenerate Frobenius-Euler-Genocchi polynomials with applications in computer modeling

open access: yesApplied Mathematics in Science and Engineering
In this work, we consider the degenerate Frobenius-Euler-Genocchi polynomials utilizing the degenerate exponential function and the degenerate Changhee-Frobenius-Euler-Genocchi polynomials utilizing the degenerate logarithm function.
Waseem Ahmad Khan   +3 more
doaj   +1 more source

Defect correction from a galerkin viewpoint [PDF]

open access: yes, 1985
We consider the numerical solution of systems of nonlinear two point boundary value problems by Galerkin's method. An initial solution is computed with piecewise linear approximating functions and this is then improved by using higher—order piecewise ...
Moore, G
core   +1 more source

Lie group analysis of a generalized Krichever-Novikov differential-difference equation

open access: yes, 2014
The symmetry algebra of the differential--difference equation $$\dot u_n = [P(u_n)u_{n+1}u_{n-1} + Q(u_n)(u_{n+1}+u_{n-1})+ R(u_n)]/(u_{n+1}-u_{n-1}),$$ where $P$, $Q$ and $R$ are arbitrary analytic functions is shown to have the dimension $1 \le \mbox ...
Decio Levi   +10 more
core   +1 more source

Difference dimension quasi-polynomials

open access: yesAdvances in Applied Mathematics, 2017
We consider Hilbert-type functions associated with difference (not necessarily inversive) field extensions and systems of algebraic difference equations in the case when the translations are assigned some integer weights. We will show that such functions are quasi-polynomials, which can be represented as alternative sums of Ehrhart quasi-polynomials ...
openaire   +3 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

open access: yesAdvanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu   +5 more
wiley   +1 more source

Fractional Supersymmetric Hermite Polynomials

open access: yesMathematics, 2020
We provide a realization of fractional supersymmetry quantum mechanics of order r, where the Hamiltonian and the supercharges involve the fractional Dunkl transform as a Klein type operator.
Fethi Bouzeffour, Wissem Jedidi
doaj   +1 more source

Value distribution of difference polynomials

open access: yesProceedings of the Japan Academy, Series A, Mathematical Sciences, 2007
We continue to studying value distribution of difference polynomials of meromorphic functions. In particular, we show that extending classical theorems of Tumura-Clunie type to difference polynomials needs additional assumptions.
Laine, Ilpo, Yang, Chung Chun
openaire   +4 more sources

Value distribution of difference and q-difference polynomials [PDF]

open access: yesAdvances in Difference Equations, 2013
In this paper, we investigate the value distribution of difference polynomial and obtain the following result, which improves a recent result of K. Liu and L.Z. Yang: Let f be a transcendental meromorphic function of finite order σ , c be a nonzero constant, and α(z) ≡ 0 be a small function of f ,a nd let P(z )= anz n + an-1z n-1 + ··· + a1z ...
Nan Li, Lianzhong Yang
openaire   +2 more sources

Selective Laser Sintering 3D Printing of Drug‐Loaded Intravitreal Implants

open access: yesAdvanced Functional Materials, EarlyView.
Selective laser sintering enables the fabrication of biodegradable and biocompatible intravitreal implants with tunable microstructures for sustained drug delivery. By modulating laser scanning speed, the polymer matrix architecture is engineered to control the release kinetics of dexamethasone and riboflavin over several months. This approach offers a
Iria Seoane‐Viaño   +5 more
wiley   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque   +5 more
wiley   +1 more source

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