Results 21 to 30 of about 2,777,888 (247)

Solution to algebraic equations of degree~4 and the fundamental theorem of algebra by Carl Friedrich Gauss

open access: yesAnnales Universitatis Paedagogicae Cracoviensis: Studia Mathematica, 2022
Since Geronimo Cardano, algebraic equations of degree 4 have been solved analytically. Frequently, the solution algorithm is given in its entirety. We discovered two algorithms that lead to the same resolvente, each with two solutions; therefore, six ...
Norbert Südland   +2 more
doaj  

SMARANDACHE SPECIAL DEFINITE ALGEBRAIC STRUCTURES [PDF]

open access: yes, 2009
Introducing the notion of Smarandache special definite algebraic structures, also called equivalently as Smarandache definite special algebraic structures.
Vasantha, Kandasamy
core   +1 more source

Necessary and sufficient conditions for the existence of invariant algebraic curves

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2021
We present a set of conditions enabling a polynomial system of ordinary differential equations in the plane to have invariant algebraic curves. These conditions are necessary and sufficient. Our main tools include factorizations over the field of Puiseux
Maria Demina
doaj   +1 more source

Degree bounds for separating invariants [PDF]

open access: yes, 2010
If V is a representation of a linear algebraic group G, a set S of G-invariant regular functions on V is called separating if the following holds: If two elements v,v' from V can be separated by an invariant function, then there is an f from S such that ...
Martin Kohls   +3 more
core  

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

A Criterion for Tameness and Wildness via Algebraicity and Jacobian Trace

open access: yesEngineered Science
This article mainly deals with the Nagata polynomial automorphism. In 2004, I. P. Shestakov and U.U. Umirbaev proved that the Nagata automorphism is wild, that is, it is not a superposition of elementary polynomial automorphisms.
Rashid Kerimbayev, Lazat Spankulova
doaj   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

open access: yesAdvanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi   +7 more
wiley   +1 more source

Similarity Sorting Method for Retrieval Results of Linear Algebra Formula [PDF]

open access: yesJisuanji gongcheng, 2018
Compared with the general mathematical formula,linear algebra formula has more complex structure and richer syntax and semantics,so it is more difficult to achieve its retrieval.Through the analysis of linear algebraic retrieval,several matching modes of
SUN Mengying,TIAN Xuedong
doaj   +1 more source

The algebraic curves of planar polynomial differential systems with homogeneous nonlinearities

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2021
We consider planar polynomial systems of ordinary differential equations of the form $\dot x = x + P_n(x,y)$, $\dot y = y + Q_n(x,y)$, where $P_n(x,y),\ Q_n(x,y)$ are homogeneous polynomials of degree $n$.
Vladimir Cheresiz, Evgenii Volokitin
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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