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These notes provide a self-contained introduction to kernel methods and their geometric foundations in machine learning. Starting from the construction of Hilbert spaces, we develop the theory of positive definite kernels, reproducing…

Many parametrization and mapping-related problems in geometry processing can be viewed as metric optimization problems, i.e., computing a metric minimizing a functional and satisfying a set of constraints, such as flatness. Penner…

Computational Geometry · Computer Science 2024-03-06 Ryan Capouellez , Denis Zorin

Consider a finite scheme of length l contained in a smooth quadric surface over the complex numbers. We determine the number of linearly independent curves passing through the scheme, of degree at least l - 1.

Algebraic Geometry · Mathematics 2022-03-29 Mario Maican

We give two new global and algorithmic constructions of the reproducing kernel Hilbert space associated to a positive definite kernel. We further present ageneral positive definite kernel setting using bilinear forms, and we provide new…

Functional Analysis · Mathematics 2020-11-20 Daniel Alpay , Palle Jorgensen

The Severi variety $V_{d,n}$ of plane curves of a given degree $d$ and exactly $n$ nodes admits a map to the Hilbert scheme $\mathbb{P}^{2[n]}$ of zero-dimensional subschemes of $\mathbb{P}^2$ of degree $n$. This map assigns to every curve…

Algebraic Geometry · Mathematics 2021-11-04 Cesar Lozano Huerta , Tim Ryan

We study the geometry of varieties parametrizing degree d rational and elliptic curves in P^n intersecting fixed general linear spaces and tangent to a fixed hyperplane H with fixed multiplicities along fixed general linear subspaces of H.…

alg-geom · Mathematics 2008-02-03 Ravi Vakil

In the recent years, Riemannian shape analysis of curves and surfaces has found several applications in medical image analysis. In this paper we present a numerical discretization of second order Sobolev metrics on the space of regular…

Differential Geometry · Mathematics 2015-07-01 Martin Bauer , Martins Bruveris , Philipp Harms , Jakob Møller-Andersen

We develop two approaches to Quantum (or Non-commutative) Graphs based on arbitrary von Neumann algebras $M\subseteq\mathcal B(H)$: one looking at operator bimodules of Hilbert--Schmidt (instead of bounded) operators, and the second looking…

Operator Algebras · Mathematics 2025-12-01 Matthew Daws

We present a new method for visualizing implicit real algebraic curves inside a bounding box in the $2$-D or $3$-D ambient space based on numerical continuation and critical point methods. The underlying techniques work also for tracing…

Symbolic Computation · Computer Science 2019-12-17 Changbo Chen , Wenyuan Wu , Yong Feng

A plane curve $C$ in $\mathbb{P}^2$ defined over $\mathbb{F}_q$ is called plane-filling if $C$ contains every $\mathbb{F}_q$-point of $\mathbb{P}^2$. Homma and Kim, building on the work of Tallini, proved that the minimum degree of a smooth…

Algebraic Geometry · Mathematics 2023-07-07 Shamil Asgarli , Dragos Ghioca

We analyze the problem of fitting a fonction en escalier or multi-step function to a curve in L^2 Hilbert space. We propose a two-stage optimization approach whereby the step positions are initially fixed, corresponding to a classic linear…

Optimization and Control · Mathematics 2025-10-21 Sebastien Bossu , Andrew Papanicolaou , Nour El Hatto

We present a technique to coarse-grain quantum states in a finite-dimensional Hilbert space. Our method is distinguished from other approaches by not relying on structures such as a preferred factorization of Hilbert space or a preferred…

Quantum Physics · Physics 2018-03-16 Ashmeet Singh , Sean M. Carroll

Spatially correlated data with an excess of zeros, usually referred to as zero-inflated spatial data, arise in many disciplines. Examples include count data, for instance, abundance (or lack thereof) of animal species and disease counts, as…

Methodology · Statistics 2024-04-23 Ben Seiyon Lee , Murali Haran

In this paper we find an algorithm which computes the Hilbert function of schemes $Z$ of "fat points" in $\PP3$ whose support lies on a rational normal cubic curve $C$. The algorithm shows that the maximality of the Hilbert function in…

alg-geom · Mathematics 2008-02-03 M. V. Catalisano , A. Gimigliano

In this article, the reproducing kernel Hilbert space [0, 1] is employed for solving a class of third-order periodic boundary value problem by using fitted reproducing kernel algorithm. The reproducing kernel function is built to get fast…

Numerical Analysis · Mathematics 2017-04-18 Asad Freihat , Radwan Abu-Gdairi , Hammad Khalil , Eman Abuteen , Mohammed Al-Smadi , Rahmat Ali Khan

The `linear orbit' of a plane curve of degree d is its orbit in the projective space of dimension d(d+3)/2 parametrizing such curves under the natural action of PGL(3). In this paper we compute the degree of the closure of the linear orbits…

Algebraic Geometry · Mathematics 2012-04-10 Paolo Aluffi , Carel Faber

Skeleton is a new notion designed for constructing space-filling curves of self-similar sets. It is shown in [Dai, Rao and Zhang, Space-filling curves of self-similar sets (II): Edge-to-trail substitution…

Dynamical Systems · Mathematics 2019-10-17 Hui Rao , Shu-Qin Zhang

We propose a variation of the classical Hilbert scheme of points - the double nested Hilbert scheme of points - which parametrizes flags of zero-dimensional subschemes whose nesting is dictated by a Young diagram. Over a smooth…

Algebraic Geometry · Mathematics 2022-11-08 Sergej Monavari

In the past 20 years, compactifications of the families of curves in algebraic varieties X have been studied via stable maps, Hilbert schemes, stable pairs, unramified maps, and stable quotients. Each path leads to a different enumeration…

Algebraic Geometry · Mathematics 2016-05-10 R. Pandharipande , R. P. Thomas

We show that there is a fast algorithm that embeds hierarchical structures in three-dimensional Minkowski spacetime. The correlation of data ends up purely encoded in the causal structure. Our model relies solely on oriented token pairs --…

Machine Learning · Computer Science 2025-05-15 Andres Anabalon , Hugo Garces , Julio Oliva , Jose Cifuentes
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