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Generating functions for generating trees

Discrete Mathematics, 2002
This article corresponds, up to minor typo corrections, to the article submitted to Discrete Mathematics (Elsevier) in Nov. 1999, and published in its vol. 246(1-3), March 2002, pp.
Cyril Banderier, Alain Denise, Philippe Flajolet   +2 more
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Generating functions for the generalized Gauss hypergeometric functions

Applied Mathematics and Computation, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Praveen Agarwal, Shilpi Jain, H M Srivastava   +2 more
exaly   +3 more sources

Generalized jump functions

Proceedings of the Genetic and Evolutionary Computation Conference, 2021
Jump functions are the most studied non-unimodal benchmark in the theory of evolutionary algorithms (EAs). They have significantly improved our understanding of how EAs escape from local optima. However, their particular structure - to leave the local optimum the EA can only jump directly to the global optimum - raises the question of how ...
Henry Bambury, Antoine Bultel, Benjamin Doerr   +2 more
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Generating Functions for Hermite Functions

Canadian Journal of Mathematics, 1959
Hermite's function Hn(x) is denned for all complex values of x and n bywhere F (α; γ; x) is Kummer's function with the customary indices omitted. It satisfies the differential equation1.1of whichis a second solution. Every solution of (1.1) is an entire function.
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Generalized Production Functions

The Review of Economic Studies, 1969
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Zellner, A., Revankar, N. S.
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