Results 71 to 80 of about 14,101,579 (209)
Weighted hypergeometric functions and fractional derivative
We introduce some weighted hypergeometric functions and the suitable generalization of the Caputo fractional derivation. For these hypergeometric functions, some linear and bilinear relations are obtained by means of the mentioned derivation operator ...
JE Restrepo+3 more
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Generating functions of wormholes [PDF]
It is known that wormhole geometry could be found solving the Einstein field equations by tolerating the violation of null energy condition (NEC). Violation of NEC is not possible for the physical matter distributions, however, it can be achieved by considering distributions of “exotic matter”.
Neeraj Pant+4 more
openaire +4 more sources
Generalized Horadam Polynomials and Numbers
We consider the polynomials hn,m(x) (m ≥ 2) and the numbers hn,m (x = 1), which are the generalized Horadam polynomials and the generalized Horadam numbers, respectively. We also consider the polynomials h(s)n,m(x)- convolutions of the polynomials hn,m(x)
Djordjevic Snezana S.+1 more
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In this paper a mathematical model for obtaining probability distribution of the knowledge testing results is proposed. Differences and similarities of this model and Item Response Theory (IRT) logistic model are discussed.
Aleksandras Krylovas, Natalja Kosareva
doaj +1 more source
ON GENERATING FUNCTIONS FOR RESTRICTED PARTITIONS OF RATIONAL INTEGERS [PDF]
Charles Nicol, H. S. Vandiver
openalex +2 more sources
On Generalized Jacobsthal and Jacobsthal-Lucas polynomials
In this paper we introduce a generalized Jacobsthal and Jacobsthal-Lucas polynomials, Jh,n and jh,n, respectively, that consist on an extension of Jacobsthal's polynomials Jn(𝑥) and Jacobsthal-Lucas polynomials jn(𝑥).
Catarino Paula, Morgado Maria Luisa
doaj +1 more source
Generating Focused Molecule Libraries for Drug Discovery with Recurrent Neural Networks
In de novo drug design, computational strategies are used to generate novel molecules with good affinity to the desired biological target. In this work, we show that recurrent neural networks can be trained as generative models for molecular structures ...
Marwin H. S. Segler+3 more
semanticscholar +1 more source
MODULARITY OF THE CONCAVE COMPOSITION GENERATING FUNCTION
A composition of an integer constrained to have decreasing then increasing parts is called concave. We prove that the generating function for the number of concave compositions, denoted v(q), is a mixed mock modular form in a more general sense than is ...
G. Andrews+2 more
semanticscholar +1 more source
ON THE DISTRIBUTION OF THE SECOND DEGREES OF CONFIGURATION GRAPHS VERTICES
The object is configuration graphs with N vertices, numbered from 1 to N, whosevertex degrees are independent identically distributed random variables.
Elena Khvorostyanskaya
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A generating function approach to the calculation of spectral band shapes including Duschinsky and Herzberg-Teller effects is proposed and applied to the computation of the free-base chlorin Q absorption bands, using molecular geometries and normal ...
Raffaele Borrelli+2 more
semanticscholar +1 more source