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The excedance number for S_n is known to have an Eulerian distribution. Nevertheless, the classical proof uses descents rather than excedances. We present a direct recursive proof which seems to be folklore and extend it to the colored…

Combinatorics · Mathematics 2008-06-03 Eli Bagno , David Garber , Toufik Mansour , Robert Shwartz

We introduce a non-increasing tree growth process $((T_n,\sigma_n),\, n\ge 1)$, where $T_n$ is a rooted labeled tree on $n$ vertices and ${\sigma}_n$ is a permutation of the vertex labels. The construction of $(T_{n},{\sigma}_n)$ from…

Probability · Mathematics 2021-11-11 Laura Eslava

Given an $n$-vertex digraph $D$ and a labeling $\sigma:V(D)\to [n]$, we say that an arc $u\to v$ of $D$ is a descent of $\sigma$ if $\sigma(u)>\sigma(v)$. Foata and Zeilberger introduced a generating function $A_D(t)$ for labelings of $D$…

Combinatorics · Mathematics 2023-09-20 Kyle Celano , Nicholas Sieger , Sam Spiro

We introduce bud generating systems, which are used for combinatorial generation. They specify sets of various kinds of combinatorial objects, called languages. They can emulate context-free grammars, regular tree grammars, and synchronous…

Combinatorics · Mathematics 2019-03-12 Samuele Giraudo

For any finite partially ordered set $P$, the $P$-Eulerian polynomial is the generating function for the descent number over the set of linear extensions of $P$, and is closely related to the order polynomial of $P$ arising in the theory of…

Combinatorics · Mathematics 2024-09-11 T. Kyle Petersen , Yan Zhuang

Generating natural language under complex constraints is a principled formulation towards controllable text generation. We present a framework to allow specification of combinatorial constraints for sentence generation. We propose TSMH, an…

Computation and Language · Computer Science 2020-12-01 Maosen Zhang , Nan Jiang , Lei Li , Yexiang Xue

We address the non-redundant random generation of k words of length n from a context-free language. Additionally, we want to avoid a predefined set of words. We study the limits of a rejection-based approach, whose time complexity is shown…

Data Structures and Algorithms · Computer Science 2010-12-22 Yann Ponty

The central role of the lexicon in Meaning-Text Theory (MTT) and other dependency-based linguistic theories cannot be replicated in linguistic theories based on context-free grammars (CFGs). We describe Tree Adjoining Grammar (TAG) as a…

cmp-lg · Computer Science 2008-02-03 Owen Rambow , Aravind Joshi

Various specifiable combinatorial structures, with d extensive parameters, can be exactly sampled both by the recursive method, with linear arithmetic complexity if a heavy preprocessing is performed, or by the Boltzmann method, with…

Data Structures and Algorithms · Computer Science 2013-07-09 Frederique Bassino , Andrea Sportiello

We prove a generalization of Kirchhoff's matrix-tree theorem in which a large class of combinatorial objects are represented by non-Gaussian Grassmann integrals. As a special case, we show that unrooted spanning forests, which arise as a q…

Statistical Mechanics · Physics 2009-11-10 Sergio Caracciolo , Jesper Lykke Jacobsen , Hubert Saleur , Alan D. Sokal , Andrea Sportiello

Let $A_{n,i,j}$ be the number of permutations on $[n]$ with $(i-1)$ descents and $(j-1)$ inverse descents.Carlitz, Roselle and Scoville in 1966 first revealed some combinatorial and arithmetic properties of $A_{n,i,j}$,which contain a…

Combinatorics · Mathematics 2024-10-07 Frank Z. K. Li , Xunhao Liu

In this paper, we characterize a duality relation between Eulerian recurrences and Eulerian recurrence systems, which generalizes and unifies Hermite-Biehler decompositions of several enumerative polynomials, including flag descent…

Combinatorics · Mathematics 2020-10-20 Shi-Mei Ma , Jun Ma , Jean Yeh , Yeong-Nan Yeh

Tandem duplication is an evolutionary process whereby a segment of DNA is replicated and proximally inserted. The different configurations that can arise from this process give rise to some interesting combinatorial questions. Firstly, we…

Combinatorics · Mathematics 2016-11-25 L Penso-Dolfin , CD Greenman

A ballot permutation is a permutation {\pi} such that in any prefix of {\pi} the descent number is not more than the ascent number. In this article, we obtained a formula in close form for the multivariate generating function of {A(n,d,j)},…

Combinatorics · Mathematics 2021-02-18 Tongyuan Zhao , Yue Sun , Feng Zhao

It is known that the combinatorial classes in the cohomology of the mapping class group of punctures surfaces defined by Witten and Kontsevich are polynomials in the adjusted Miller-Morita-Mumford classes. The leading coefficient was…

Algebraic Topology · Mathematics 2014-11-11 Kiyoshi Igusa , Michael Kleber

A permutation can be locally classified according to the four local types: peaks, valleys, double rises and double falls. The corresponding classification of binary increasing trees uses four different types of nodes. Flajolet demonstrated…

Combinatorics · Mathematics 2021-06-22 Markus Kuba , Anna L. Varvak

Maxmin trees are labeled trees with the property that each vertex is either a local maximum or a local minimum. Such trees were originally introduced by Postnikov, who gave a formula to count them and different combinatorial interpretations…

Combinatorics · Mathematics 2019-02-06 William Dugan , Sam Glennon , Paul E. Gunnells , Einar Steingrimsson

We introduce a systematic approach to express generating functions for the enumeration of maps on surfaces of high genus in terms of a single generating function relevant to planar surfaces. Central to this work is the comparison of two…

Mathematical Physics · Physics 2023-02-07 Nicholas Ercolani , Joceline Lega , Brandon Tippings

We address the non-redundant random generation of $k$ words of length $n$ in a context-free language. Additionally, we want to avoid a predefined set of words. We study a rejection-based approach, whose worst-case time complexity is shown…

Formal Languages and Automata Theory · Computer Science 2012-11-05 Andy Lorenz , Yann Ponty

Machine Learning produces efficient decision and prediction models based on input-output data only. Such models have the form of decision trees or neural nets and are far from transparent analytical models, based on mathematical formulas.…

Artificial Intelligence · Computer Science 2025-05-20 Jakub Skrzyński , Dominik Sepioło , Antoni Ligęza
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