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We are interested in the problem of learning the directed acyclic graph (DAG) when data are generated from a linear structural equation model (SEM) and the causal structure can be characterized by a polytree. Under the Gaussian polytree…

Machine Learning · Statistics 2024-05-15 Xingmei Lou , Yu Hu , Xiaodong Li

We develop a tropical analogue of the classical double description method allowing one to compute an internal representation (in terms of vertices) of a polyhedron defined externally (by inequalities). The heart of the tropical algorithm is…

Computational Geometry · Computer Science 2011-12-30 Xavier Allamigeon , Stephane Gaubert , Eric Goubault

Given an input graph and weights on its vertices, the maximum co-2-plex problem is to find a subset of vertices maximizing the sum of their weights and inducing a graph of degree at most 1. In this article, we analyze polyhedral aspects of…

Discrete Mathematics · Computer Science 2025-12-09 Alexandre Dupont-Bouillard , Pierre Fouilhoux , Roland Grappe , Mathieu Lacroix

We generalise the insertion into a binary heap to any directed acyclic graph (DAG) with one source vertex. This lets us formulate a general method for converting any such DAG into a data structure with priority queue interface. We apply our…

Data Structures and Algorithms · Computer Science 2017-10-04 Mikhail Gudim

In this paper, we continue our study of blade arrangements and the positroidal subdivisions which are induced by them on $\Delta_{k,n}$. A blade is a tropical hypersurface which is generated by a system of $n$ affine simple roots of type…

Combinatorics · Mathematics 2022-10-14 Nick Early

We study the structure of the asymptotic expansion of the probability that a combinatorial object is connected. We show that the coefficients appearing in those asymptotics are integers and can be interpreted as the counting sequences of…

Combinatorics · Mathematics 2024-01-02 Thierry Monteil , Khaydar Nurligareev

It is known that any tropical polytope is the image under the valuation map of ordinary polytopes over the Puiseux series field. The latter polytopes are called lifts of the tropical polytope. We prove that any pure tropical polytope is the…

Combinatorics · Mathematics 2015-12-24 Xavier Allamigeon , Ricardo D. Katz

For a natural class of $r \times n$ integer matrices, we construct a non-convex polytope which periodically tiles $\mathbb R^n$. From this tiling, we provide a family of geometrically meaningful maps from a generalized sandpile group to a…

Combinatorics · Mathematics 2022-03-30 Alex McDonough

The Chow polytope of an algebraic cycle in a torus depends only on its tropicalisation. Generalising this, we associate a Chow polytope to any abstract tropical variety in a tropicalised toric variety. Several significant polyhedra…

Algebraic Geometry · Mathematics 2010-06-01 Alex Fink

Tropical geometry has recently found several applications in the analysis of neural networks with piecewise linear activation functions. This paper presents a new look at the problem of tropical polynomial division and its application to…

Machine Learning · Computer Science 2023-06-28 Ioannis Kordonis , Petros Maragos

We propose a definition of tropical linear series that isolates some of the essential combinatorial properties of tropicalizations of not-necessarily-complete linear series on algebraic curves. The definition combines the Baker-Norine…

Algebraic Geometry · Mathematics 2022-10-03 David Jensen , Sam Payne

We introduce tropical analogues of the notion of volume of polytopes, leading to a tropical version of the (discrete) classical isoperimetric inequality. The planar case is elementary, but a higher-dimensional generalization leads to an…

Combinatorics · Mathematics 2019-12-30 Jules Depersin , Stéphane Gaubert , Michael Joswig

We discuss a novel analysis method for reaction network systems with polynomial or rational rate functions. This method is based on computing tropical equilibrations defined by the equality of at least two dominant monomials of opposite…

Molecular Networks · Quantitative Biology 2015-08-25 Satya Swarup Samal , Dima Grigoriev , Holger Fröhlich , Ovidiu Radulescu

A chain is defined as a directed acyclic graph (DAG) with one source and one sink, where the children are ordered and the spanning tree computed using a depth-first search is a path. Such DAGs emerge in the context of tree compression and…

Combinatorics · Mathematics 2026-04-22 Michael Wallner

Modern applications of algebraic topology to point cloud data analysis have motivated active investigation of combinatorial clique complexes -- high-dimensional extensions of combinatorial graphs. We show that meaningful invariants of such…

Algebraic Topology · Mathematics 2014-10-29 Gregory Henselman , Paweł Dłotko

The (torsion) complexity of a finite edge-weighted graph is defined to be the order of the torsion subgroup of the abelian group presented by its Laplacian matrix. When G is d-periodic (i.e., G has a free action of the rank-d free abelian…

Combinatorics · Mathematics 2017-01-24 Daniel S. Silver , Susan G. Williams

In this paper we bring together tropical linear algebra and convex 3-dimensional bodies. We show how certain convex 3-dimensional bodies having 20 vertices and 12 facets can be encoded in a $4\times 4$ integer zero-diagonal matrix $A$. A…

Combinatorics · Mathematics 2012-11-01 A. Jiménez , M. J. de la Puente

Arboreal networks are multi-rooted phylogenetic networks whose underlying graph is a tree. We give an encoding of stack-free arboreal networks in terms of triplets and the novel concept of a duet. This yields a polynomial time algorithm to…

Discrete Mathematics · Computer Science 2026-05-05 Katharina T. Huber , Katherine St. John

Context-specific Bayesian networks (i.e. directed acyclic graphs, DAGs) identify context-dependent relationships between variables, but the non-convexity induced by the acyclicity requirement makes it difficult to share information between…

Machine Learning · Statistics 2021-11-02 Ben Lengerich , Caleb Ellington , Bryon Aragam , Eric P. Xing , Manolis Kellis

In Bayesian structure learning, we are interested in inferring a distribution over the directed acyclic graph (DAG) structure of Bayesian networks, from data. Defining such a distribution is very challenging, due to the combinatorially…

Machine Learning · Computer Science 2022-06-30 Tristan Deleu , António Góis , Chris Emezue , Mansi Rankawat , Simon Lacoste-Julien , Stefan Bauer , Yoshua Bengio