# The joint MATHEXP-Polsys seminar

Since 2021 the Specfun seminar has merged with the Polsys seminar. In 2022, Specfun becomes MATHEXP. The joint seminar is held in Paris or Palaiseau and broadcasted online.

## Upcoming talks

### NEXT TBA

- speaker
- Simone Naldi, XLIM, université de Limoges (France)
- date
- location
- Paris, Jussieu, couloir 25-26, salle 105 + online

### UPCOMING TBA

- speaker
- Fredrik Johansson, Inria, IMB, université de Bordeaux (France)
- date
- location
- Inria Saclay, bâtiment Turing, amphithéâtre Sophie-Germain + online

### UPCOMING TBA

- speaker
- Anna-Laura Sattelberger, KTH Royal Institute of Technology (Sweden)
- date
- location
- Inria Saclay, bâtiment Turing, amphithéâtre Sophie-Germain + online

## 2022

### PAST Special session on holonomy

*Jointly organized with the “Groupe de travail Transcendance et combinatoire”.*

#### Guessing with little data

- speaker
- Christoph Koutschan, RICAM, Linz (Austria)
- date
- location
- Paris, Jussieu, couloir 25-26, salle 105 + online
- abstract
Reconstructing a hypothetical recurrence equation from the first terms of an infinite sequence is a well-known technique in experimental mathematics, also referred to as “guessing”. We combine the classical linear-algebra approach to guessing with lattice reduction, which in many instances allows us to find the desired recurrence using fewer input terms. We have successfully applied our method to sequences from the OEIS and have identified several examples, for which it would have been very difficult to obtain the same result with the traditional approach.

This is joint work with Manuel Kauers.

- paper
- 2202.07966
- extra
- slides

#### Gerrymandering

- speaker
- Manuel Kauers, Johannes Kepler University, Linz (Austria)
- date
- location
- Paris, Jussieu, couloir 25-26, salle 105 + online
- abstract
We report on some efforts to compute the next few terms of the so-called gerrymandering sequence A348456 that counts the number of ways to dissect a square grid into two connected regions of the same size.

This is joint work with Christoph Koutschan and George Spahn.

- paper
- 2209.01787
- extra
- slides

#### Vector spaces of generalized Euler integrals

- speaker
- Claudia Fevola, MPI MiS, Leipzig (Germany)
- date
- location
- Paris, Jussieu, couloir 25-26, salle 105 + online
- abstract
We study vector spaces associated to a family of generalized Euler integrals. Their dimension is given by the Euler characteristic of a very affine variety. Motivated by Feynman integrals from particle physics, this has been investigated using tools from homological algebra and the theory of D-modules. In this talk, I will present an overview of the main tools needed to study these vector spaces, namely twisted de Rham cohomology and Mellin transform. Finally, I will discuss relations between these approaches.

This is a joint project with Daniele Agostini, Anna-Laura Sattelberger, and Simon Telen.

- paper
- 2208.08967
- extra
- slides

### PAST Sylvester forms and elimination matrices

- speaker
- Laurent Busé, Inria, université Côte d'Azur (France)
- date
- location
- Paris, Jussieu, couloir 25-26, salle 105 + online
- abstract
- Sylvester forms of \(n\) homogeneous polynomials in \(n\) variables have been introduced by Jean-Pierre Jouanolou to make explicit a certain duality that unravel the structure of some graded components of elimination ideals. By definition, they are determinants that generalize the classical Jacobian determinant. In this talk, the construction and properties of Sylvester forms will be reviewed, with a particular focus on the construction of a family of “hybrid elimination matrices”, that can be seen as a generalization of the family of hybrid Bézout matrices for univariate polynomials. These matrices are more compact than the usual Macaulay matrices, but they can still be used to solve zero-dimensional polynomial systems by means of linear algebra methods. If time permits, extension of the theory of Sylvester forms to multi-projective spaces (joint work with Marc Chardin and Navid Nemati) and to toric varieties (joint work with Carles Checa) will be discussed.

### PAST Walks avoiding a quadrant and the reflection principle

- speaker
- Michael Wallner, Institute of Discrete Mathematics and Geometry, TU Wien (Austria)
- date
- location
- Inria Saclay, bâtiment Turing, amphithéâtre Sophie-Germain + online
- abstract
We continue the enumeration of plane lattice walks with small steps avoiding the negative quadrant, initiated by Bousquet-Mélou in 2016. We solve in detail a new case, namely the king model where all eight nearest neighbour steps are allowed. The associated generating function satisfies an algebraicity pheonomeon: it is the sum of a simple, explicit D-finite series (related to the number of walks confined to the first quadrant), and an algebraic one. The principle of the approach is the same as in [Bousquet-Mélou, 2016], but challenging theoretical and computational difficulties arise as we now handle algebraic series of degree up to 216. We expect a similar algebraicity phenomenon to hold for the seven Weyl step sets, which are those for which walks confined to the first quadrant can be counted using the reflection principle. This is now proved for three of them. For the remaining four, we predict the D-finite part of the solution, and in three of the four cases, give evidence for the algebraicity of the remaining part.

This is joint work with Mireille Bousquet-Mélou.

### PAST Sums of powers of binomials, their Apéry limits, and Franel's suspicions

- speaker
- Armin Straub, University of South Alabama (USA)
- date
- location
- Paris, Jussieu, couloir 25-26, salle 105 + online
- abstract
Apéry's proof of the irrationality of ζ(3) relies on representing that value as the limit of the quotient of two rational solutions to a three-term recurrence. We review such Apéry limits and explore a particularly simple instance. We then explicitly determine the Apéry limits attached to sums of powers of binomial coefficients. As an application, we prove a weak version of Franel's conjecture on the order of the recurrences for these sequences. This is based on joint work with Wadim Zudilin.

*This session is jointly organized with the “Groupe de travail Transcendance et combinatoire”.*

### PAST Sparse polynomial interpolation and exact division over ℤ

- speaker
- Armelle Perret du Cray, LIRMM, University of Montpellier (France)
- date
- location
- Paris, Jussieu + online
- abstract
We present a new Monte Carlo randomized algorithm to recover an integer polynomial \(f(x)\) given a way to evaluate \(f(a) \mod m\) for any chosen integers \(a\) and \(m\). This algorithm has nearly-optimal bit complexity, meaning that the total bit-length of the probes, as well as the computational running time, is softly linear (ignoring logarithmic factors) in the bit-length of the resulting sparse polynomial. As an application, we adapt this interpolation algorithm to the problem of computing the exact quotient of two given polynomials. The best previously known results have at least a cubic dependency on the bit-length of the exponents.

This is a joint work with Pascal Giorgi, Bruno Grenet and Daniel S. Roche.

### PAST Validated Numerics and Formal Proof for Computer-Aided Proofs in Mathematics: A Case Study on Abelian Integrals

- speaker
- Florent Bréhard, CNRS, University of Lille (France)
- date
- location
- Inria Saclay, bâtiment Turing, amphithéâtre Sophie-Germain + online
- abstract
Last decades saw the emergence of validated numerics (i.e., numerical computations with rigorous error bounds) in computer-aided proofs for mathematics, with major achievements notably in analysis and dynamical systems. This raises questions and challenges which computer scientists are familiar with, such as complexity (how long does is take to compute N correct digits?) and reliability (can we trust an implementation the same way we do for pen-and-paper mathematics?).

In this talk, we will illustrate these challenges with a concrete problem, namely the rigorous numerical evaluation of Abelian integrals. These functions play an essential role in Hilbert's sixteenth problem, since their zeros are connected to the limit cycles of perturbed planar Hamiltonian vector fields. Using truncated Fourier series and rigorous error bounds obtained via fixed- point theorems, we design an efficient algorithm that is also suitable for a formal proof implementation in the Coq theorem prover. Also, we will discuss strategies to compute continuous representations (Taylor, Chebyshev…) of such functions via the associated Picard-Fuchs ODE, and the perspectives of formalizing them in Coq.

This is a joint work with Nicolas Brisebarre, Mioara Joldes and Warwick Tucker.

### PAST Modeling piecewise polynomial functions with polynomial minimizers

- speaker
- Didier Henrion, LAAS-CNRS, University of Toulouse (France) and Czech Techncal University in Prague (Czech Republic)
- date
- location
- Paris, Jussieu, salle 25-26/105
- abstract
- In data science, the quantity to be approximated numerically can be a discontinuous function, e.g. the solution of a nonlinear PDE with shocks, or a bang-bang optimal control. Numerical algorithms may face troubles when approximating such functions, e.g. standard polynomial approximations suffer from the Gibbs phenomenon, namely large oscillations near the discontinuity points that do not vanish when the polynomial degree goes to infinity. In this talk, we introduce a new family of functions designed to deal with such discontinuities. We propose to model or approximate a function of a vector \(x\) by the minimizer with respect to additional (lifting) variables \(y\) of a polynomial of \(x\) and \(y\). We show that piecewise polynomial functions can be modeled exactly this way. For any Lebesgue measurable function, we describe a systematic method to construct a family of approximants of increasing degree such that their minimizers converge to the function pointwise almost everywhere and in the Lebesgue one norm. These approximants are polynomial sums of squares generated from the moments or the samples of the function.

### PAST P-adic algorithm to find a basis of pivariate primary components

- speaker
- Catherine St-Pierre, University of Waterloo (France)
- date
- location
- online only (zoom)
- abstract
- Inspired by the characterization of a Gröbner cell from Conca and Valla (2007), we will present a quadratically convergent \(p\)-adic algorithm that we developed to find a basis of the primary component of zero dimensional ideal \(I \subset K[x,y]\), where \(K\) is a rational function field (or the rationals). We will also discuss the probability of finding a good prime for the \(p\)-adic expansion and bound the growth of coefficients in a basis.

### PAST On finite convergence and convergence rates in polynomial optimization

- speaker
- Lorenzo Baldi, Inria (France)
- date
- location
- online only (zoom)
- abstract
In Polynomial Optimization, finite convergence of the Lasserre's Moment and Sums of Squares hierarchies is often observed in applications, but it is less understood theoretically. We show that finite convergence happens under the so-called Boundary Hessian Conditions at the minimizers, and that this degree is related to the Castelnuovo-Mumford regulaty of the ideal they define. On the contrary, the general, theoretical convergence rate is not well understood, and is deduced from effective versions of Putinar's Positvstellensatz. We give new polynomial bounds for this theorem: these bounds involve a Łojasiewicz exponent associated to the description of the semialgebraic set and, under regularity conditions, to the conditioning number of the Jacobian matrix of the defining inequalities.

Based on joint works with Bernard Mourrain.

### PAST New data structure for univariate polynomial approximation and applications to root isolation, numerical multipoint evaluation, and other problems

- speaker
- Guillaume Moroz, Inria (France)
- date
- location
- online only (zoom)
- extra
- slides + paper
- abstract
- We present a new data structure to approximate accurately and efficiently a polynomial \(f\) of degree \(d\) given as a list of coefficients. Its properties allow us to improve the state-of-the-art bounds on the bit complexity for the problems of root isolation and approximate multipoint evaluation. This data structure also leads to a new geometric criterion to detect ill-conditioned polynomials, implying notably that the standard condition number of the zeros of a polynomial is at least exponential in the number of roots of modulus less than 1/2 or greater than 2.

## 2021

### PAST Multiplication in finite fields with Chudnovsky-type algorithms over the projective line

- speaker
- Bastien Pacifico, I2M, Aix-Marseille Université (France)
- date
- location
- Paris, Jussieu, salle 25-26/105
- abstract
- We propose a generic construction of interpolation algorithms over the projective line for the multiplication in any finite extension of finite fields. This is a specialization of the method of interpolation on algebraic curves introduced by David and Gregory Chudnovsky. We will use generalizations of this method, in particular the evaluation at places of arbitrary degrees. Our algorithms correspond to usual techniques of polynomial interpolation in small extensions and are defined recursively as the degree of the extension increases. We show that their bilinear complexity is competitive and that they can be constructed in polynomial time.

### PAST Fast list decoding of algebraic geometry codes

- speaker
- Grigory Solomatov, Danmarks Tekniske Universitet
- date
- location
- Paris, Jussieu, salle 24-25/509
- abstract
In this talk, we present an efficient list decoding algorithm for algebraic geometry (AG) codes. They are a natural generalization of Reed-Solomon codes and include some of the best codes in terms of robustness to errors. The proposed decoder follows the Guruswami-Sudan paradigm and is the fastest of its kind, generalizing the decoder for one-point Hermitian codes by J. Rosenkilde and P. Beelen to arbitrary AG codes. In this fully general setting, our decoder achieves the complexity \(\widetilde{\mathcal{O}}(s \ell^{\omega}\mu^{\omega - 1}(n+g))\), where \(n\) is the code length, \(g\) is the genus, \(\ell\) is the list size, \(s\) is the multiplicity and \(\mu\) is the smallest nonzero element of the Weierstrass semigroup at some special place.

Joint work with J. Rosenkilde and P. Beelen.

### PAST Computing the Smith normal form and multipliers of a nonsingular integer matrix

- speaker
- George Labahn, Cheriton School of Computer Science, University of Waterloo (Canada)
- date
- location
- Paris, Jussieu, salle 25-26/105
- extra
- slides
- abstract
The Smith normal form of an \(n \times n\) matrix \(A\) of integers or polynomials is a diagonal matrix \(S = diag(s_1, s_2, … , s_n)\) satisfying \(s_1 | s_2 | .. | s_n\) with \(A V = U S\), where \(U\) and \(V\) are unimodular matrices (i.e. det \(U\) = det \(V\) = \(\pm 1\) (integers) or a constant (polynomials). The \(U\) and \(V\) matrices represent row and column operations converting \(A\) into \(S\).

In this talk we give a Las Vegas randomized algorithm for computing \(S, U, V\) in the case where the matrix \(A\) is a nonsingular integer matrix. The expected running time of our algorithm is about the same as the cost required to multiply two matrices of the same dimension and size of entries of \(A\). We also give explicit bounds on the sizes of the entries of our unimodular multipliers. The main tool used in our construction is the so called Smith massager, a relaxed version of our column multiplier \(V\).

This is joint work with Stavros Birmpilis and Arne Storjohann

### PAST C^{2}-finite sequences

- speaker
- Antonio Jiménez-Pastor, École polytechnique, LIX (France)
- date
- location
- Inria Saclay, bâtiment Turing, amphithéâtre Sophie-Germain
- extra
- slides
- abstract
- Holonomic sequences are widely studied as many objects interesting to mathematicians and computer scientists are in this class. In the univariate case, these are the sequences satisfying linear recurrences with polynomial coefficients and also referred to as P-finite sequences. A subclass are \(C\)-finite sequences satisfying a linear recurrence with constant coefficients. We'll see in this talk a natural extension of this set of sequences: which satisfy linear recurrence equations with coefficients that are C-finite sequences. We will show that \(C^2\)-finite sequences form a difference ring and provide methods to compute in this ring.

### PAST Truncated Moment Cone and Connections to the Coalescence Manifold

- speaker
- Georgy Scholten, Sorbonne Université, LIP6 (France)
- date
- location
- Paris, Jussieu, salle 25-26/105
- extra
- slides
- abstract
- We study the univariate moment problem of piecewise-constant density functions on the interval [0,1] and its consequences for an inference problem in population genetics. We show that, up to closure, any collection of \(n\) moments is achieved by a step function with at most \(n−1\) breakpoints and that this bound is tight. We use this to show that any point in the \(n\)th coalescence manifold in population genetics can be attained by a piecewise constant population history with at most \(n−2\) changes. We give a semi-algebraic description of the \(n\)th coalescence manifold as a projected spectrahedron.

### PAST Effective coefficient asymptotics of multivariate rational functions via semi-numerical algorithms for polynomial systems

- speaker
- Bruno Salvy, Inria, LIP, ENS Lyon (France)
- date
- extra
- slides + paper
- abstract
The coefficient sequences of multivariate rational functions appear in many areas of combinatorics. Their diagonal coefficient sequences enjoy nice arithmetic and asymptotic properties, and the field of analytic combinatorics in several variables (ACSV) makes it possible to compute asymptotic expansions. We consider these methods from the point of view of effectivity. In particular, given a rational function, ACSV requires one to determine a (generically) finite collection of points that are called critical and minimal. Criticality is an algebraic condition, meaning it is well treated by classical methods in computer algebra, while minimality is a semi-algebraic condition describing points on the boundary of the domain of convergence of a multivariate power series. We show how to obtain dominant asymptotics for the diagonal coefficient sequence of multivariate rational functions under some genericity assumptions using symbolic-numeric techniques. To our knowledge, this is the first completely automatic treatment and complexity analysis for the asymptotic enumeration of rational functions in an arbitrary number of variables.

This is joint work with Stephen Melczer.

### PAST Accelerating the moment-SOS hierarchy for volume approximation

- speaker
- Didier Henrion, CNRS, LAAS (Toulouse, France), Czech technical university in Prague
- date
- extra
- slides + paper
- abstract
The moment-SOS hierarchy can be used to approximate numerically the volume of a semialgebraic set \(X\) at the price of solving increasingly large convex optimization problems. In its original form, the dual SOS problem in the hierarchy consists of approximating from above the indicator function of \(X\) with a polynomial of increasing degree, thereby suffering from the Gibbs effect (large overshoots near the discontinuity points). In this talk we explain how to suppress this effect by adding redundant linear constraints in the primal moment problem. These constraints are a consequence of Stokes' theorem. This results in a significant acceleration of the hierarchy.

This is joint work with Matteo Tacchi and Jean Bernard Lasserre.

### PAST Picard-Fuchs equations for Feynman integrals

- speaker
- Pierre Vanhove, CEA (France), HSE University (Moscow, Russia)
- date
- extra
- slides
- abstract
In this talk we will present various methods for computing the Picard-Fuchs equations for Feynman integrals that arise in quantum field theory. After reviewing the main properties of Feynman integrals, we will discuss two methods for deriving their ideal of differential equations, a first one using the Gel'fand-Kapranov-Zelevinsky construction and the other one using the creative telescoping. In this talk we will compare the two approaches and give a physical intepretation of the certificate.

This based on some work done in collaboration with Charles Doran and Andrey Novoseltsev.

### PAST A refined laser method and faster matrix multiplication

- speaker
- Virginia Vassilevska Williams, MIT (USA)
- date
- extra
- slides
- abstract
The complexity of matrix multiplication is measured in terms of \(\omega\), the smallest real number such that two \(n\times n\) matrices can be multiplied using \(O(n^{\omega+\epsilon})\) field operations for all \(\epsilon>0\); the best bound until now is \(\omega<2.37287\) [Le Gall'14]. All bounds on \(\omega\) since 1986 have been obtained using the so-called laser method, a way to lower-bound the “value” of a tensor in designing matrix multiplication algorithms.

The main result of this paper is a refinement of the laser method that improves the resulting value bound for most sufficiently large tensors. Thus, even before computing any specific values, it is clear that we achieve an improved bound on \(\omega\), and we indeed obtain the best bound on \(\omega\) to date: \(\omega<2.37286\). The improvement is of the same magnitude as the improvement that [Le Gall'14] obtained over the previous bound [Vassilevska W.'12]. Our improvement to the laser method is quite general, and we believe it will have further applications in arithmetic complexity. (Joint work with Josh Alman.)

### PAST Separating variables in bivariate polynomial ideals

- speaker
- Manfred Buchacher, Johannes Kepler Universität, Linz (Austria)
- date
- extra
- slides
- abstract
- We present an algorithm which for any given ideal \(I \subseteq \mathbb{K}[x,y]\) computes \(I \cap (\mathbb{K}[x] + \mathbb{K}[y])\). Our motivation for looking at the problem came from enumerative combinatorics in the context of lattice walks: an elimination of this kind appears in Bousquet-Mélou’s proof of the algebraicity of the generating function of Gessel’s walks. The problem also arises when one wants to compute the intersection of two \(\mathbb {K}\)-algebras. This is joint work with Manuel Kauers and Gleb Pogudin.

### PAST Linear PDE with constant coefficients

- speaker
- Bernd Sturmfels, UC Berkerley (USA), MPI Leipzig (Germany)
- date
- extra
- slides
- abstract
- We discuss algebraic methods for solving systems of homogeneous linear partial differential equations with constant coefficients. The setting is the Fundamental Principle established by Ehrenpreis and Palamodov in the 1960's. Our approach rests on recent advances in commutative algebra, and it offers new vistas on schemes and coherent sheaves in computational algebraic geometry.

### PAST Symmetric situations in polynomial optimization,

- speaker
- Philippe Moustrou, University of Tromsø (Norway)
- date
- extra
- slides
- abstract
In the first part of the talk, we will discuss symmetric polynomial ideals, namely ideals of polynomials closed under permutations of variables. The Specht polynomials are fundamental in the understanding of the representations of the symmetric group. We show a connection between the leading monomials of polynomials in a symmetric ideal and the Specht polynomials contained in the ideal. This provides applications in several contexts, in particular for algorithmic purposes. Most notably, this connection gives information about the points in the corresponding algebraic variety. From another perspective, it restricts the isotypic decomposition of the ideal viewed as a representation of the symmetric group.This allows further algorithmic consequences, in particular for non-negativity certifications of symmetric polynomials on symmetric variety via sums of squares.

Besides sums of squares, alternative methods have been recently introduced to certify the non-negaitivity of polynomials. The second part of the talk will focus on methods based on Sums of Arithmetic-Geometric Exponentials (SAGE) and Sums Of Non-negative Circuit polynomials (SONC) for symmetric polynomials. We will discuss the theoretical aspects such as the comparison between these cones and the cone of non-negative symmetric polynomials, as well as symmetry-reduction techniques for the corresponding algorithms.

Based on joint works with Helen Naumann, Cordian Riener, Thorsten Theobald and Hugues Verdure.

### PAST Simultaneous rational function reconstruction and applications to algebraic coding theory

- date
- speaker
- Ilaria Zappatore, INRIA Saclay (France)
- extra
- slides
- abstract
The simultaneous rational function reconstruction (SRFR) is the problem of reconstructing a vector of rational functions with the same denominator given its evaluations (or more generally given its remainders modulo different polynomials).

The peculiarity of this problem consists in the fact that the common denominator constraint reduces the number of evaluation points needed to guarantee the existence of a solution, possibly losing the uniqueness.

One of the main contributions presented in this talk consists in the proof that uniqueness is guaranteed for

*almost all*instances of this problem. This result was obtained by elaborating some other contributions and techniques derived by the applications of SRFR, from the polynomial linear system solving to the decoding of Interleaved Reed-Solomon codes.In this talk it is also presented another application of the SRFR problem, concerning the problem of constructing

*fault-tolerant*algorithms: algorithms*resilients*to computational errors. These algorithms are constructed by introducing redundancy and using error correcting codes tools to detect and possibly correct errors which occur during computations. In this application context, we improve an existing fault-tolerant technique for polynomial linear system solving by interpolation-evaluation, by focusing on the related SRFR.Contains joint works with Eleonora Guerrini and Romain Lebreton.

### PAST Gröbner bases in Tate algebras

- speaker
- Thibaut Verron, Johannes Kepler Universität, (Linz, Austria)
- date
- extra
- slides
- abstract
Tate series are a generalization of polynomials introduced by John Tate in 1962, when defining a \(p\)-adic analogue of the correspondence between algebraic geometry and analytic geometry. This \(p\)-adic analogue is called rigid geometry, and Tate series, similar to analytic functions in the complex case, are its fundamental objects. Tate series are defined as multivariate formal power series over a \(p\)-adic ring or field, with a convergence condition on a closed ball. Tate series are naturally approximated by multivariate polynomials over \(\mathbb{F}_p\) or \(\mathbb{Z}/p^n \mathbb{Z}\), and it is possible to define a theory of Gröbner bases for ideals of Tate series, which opens the way towards effective rigid geometry. In this talk, I will present those definitions, as well as different algorithms to compute Gröbner bases for Tate series.

Joint work with Xavier Caruso and Tristan Vaccon.

### PAST Structured algorithms for algebraic curves

- speaker
- Simon Abelard, École polytechnique, LIX (Palaiseau, France)
- date
- extra
- slides
- abstract
In this talk we will discuss two different algorithmic problems related to algebraic curves : counting points and computing Riemann-Roch spaces, both of them having applications in various fields of computer science such as cryptography and coding theory. These tasks are actually closely related to well-known problems from computer algebra.

The first problem mostly boils down to solving polynomial systems. We will see how the underlying structure of these systems helps to derive better complexity bounds and to perform practical computations. For the second problem, previous algorithms (Khuri-Makdisi in 2007, Le Gluher and Spaenlehauer in 2018) compute Riemann-Roch spaces through the use of linear algebra. The main novelty of our work is to rely on a \(K[x]\)-module structure instead so that we can replace linear algebra by faster algorithms for computing interpolation bases (such as the one of Neiger in 2016), thus deriving a subquadratic complexity bound. We will also talk about the ongoing implementation of this algorithm.

The first part of the talk contains joint work with Pierrick Gaudry and Pierre-Jean Spaenlehauer, the second part is joint work with Alain Couvreur and Grégoire Lecerf.

### PAST Complex roots clustering

- speaker
- Rémi Imbach, Courant Institute, New York University (USA)
- date
- abstract
- We are interested in computing clusters of complex roots of polynomials and square polynomials systems. Root clustering differs of root isolation in that it can be performed softly, i.e. avoiding some decisions of zero. This allows clustering algorithms to be robust to multiple roots and to accept inputs given by black boxes for approximation, for instance polynomials which coefficients are in towers of field extensions. The starting point of our talk is the existence of a clustering algorithm for roots of univariate polynomials. We will show how this algorithm can be embedded in an algorithm for computing clusters of roots of triangular systems of polynomials resulting in particular of a symbolic step to process non-triangular systems. We will also present recent practical improvements for the univariate case.

## 2020 and before

Until 2020, Specfun, ancestor of MATHEXP, held the seminar “Computations and proofs”.

## Organizers

- current
- Jérémy Berthomieu

Pierre Lairez

Hadrien Notarantonio

Rémi Prébet - former
- Alin Bostan

Frédéric Chyzak

Huu Phuoc Le

Mohab Safey El Din

This seminar receives funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 101040794, project 10000 DIGITS).

## Announcements

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