A distance-squared function is one of the most significant functions in the application of singularity theory to differential geometry. Moreover, distance-squared mappings are naturally extended mappings of distance-squared functions, wherein each component is a distance-squared function. In this paper, compositions of…
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We study square-tiled tori, that is, tori obtained from a finite collection of unit squares by parallel side identifications. Square-tiled tori can be parametrized in a natural way that allows to count the number of square-tiled tori tiled by a given number of square tiles. There is a natural $\mathrm{SL}(2,\mathbf{Z})…
Study finds Hilbert square of real surfaces can be maximal even when the surface has disconnected real locus.
Directly simulates squared Bessel processes efficiently.
CD converges linearly for MCP/SCAD penalized least squares.
Study on Nijenhuis tensor forms and vanishing properties.
Study differential properties of matrix square roots in specific cases.
Square-like quadrilaterals inscribed in space curves proven for finite total curvature.
Shear moves connect square-tiled surfaces in quadratic differentials.
A square complex is a 2-complex formed by gluing squares together. This article is concerned with the fundamental group of certain square complexes of nonpositive curvature, related to quaternion algebras. The abelian subgroup structure of is studied in some detail.
Square can fit inside curves close to smooth ones.
A distance-squared function is one of the most significant functions in the application of singularity theory to differential geometry. In this paper, we define naturally extended mappings of distance-squared functions, wherein each component is a distance-squared function. We investigate the properties of these mappin…
The study finds arithmetic groups often in square-tiled surface monodromies.
New expressions for Nijenhuis tensor squares found.
In the context of Synthetic Differential Geometry, we describe the square volume of a ``second-infinitesimal simplex'', in terms of square-distance between its vertices. The square-volume function thus described is symmetric in the vertices. The square-volume gives rise to a characterization of the volume form in the t…
A new method simulates square-root processes efficiently.
Square metrics is an important class of Finsler metrics. Recently, we introduced a special class of non-regular Finsler metrics called singular square metrics. The main purpose of this paper is to provide a necessary and sufficient condition for singular square metrics to be of constant Ricci or flag curvature when dim…
Cross validation residuals are well known for the ordinary least squares model. Here leave-M-out cross validation is extended to generalised least squares. The relationship between cross validation residuals and Cook's distance is demonstrated, in terms of an approximation to the difference in the generalised residual …
The study calculates the Smith-Thom deficiency of Hilbert squares and provides conditions for maximality.
Square percolation determines threshold for group divergence in random graphs.
The Lorentzian length, which is one of the most significant functions in Lorentzian geometry, is a complex-valued function. Its square gives a real-valued non-degenerate quadratic function. In this paper, we define naturally extended mappings of Lorentzian distance-squared functions, wherein each component is a Lorentz…
New model for STSs with restricted horizontal gluings, focusing on maximal horizontal cylinders.
Illustrates interleaved learning with Kalman Filter for linear least squares.
Study of group orderability using tensor and exterior squares.
We consider a special class of Finsler metrics --- square metrics which are defined by a Riemannian metric and a 1-form on a manifold. We show that an analogue of the Beltrami Theorem in Riemannian geometry is still true for square metrics in dimension , namely, an -dimensional square metric is locall…
In this paper we give an example of a linear group such that its tensor square is not linear. Also, we formulate some sufficient conditions for the linearity of non-abelian tensor products and tensor squares . Using these results we prove that tensor squares of some groups with one relation a…
We define generalized distance-squared mappings, and we concentrate on the plane to plane case. We classify generalized distance-squared mappings of the plane into the plane in a recognizable way.
Computes Steenrod squares on Khovanov homology for knots up to 11 crossings.
New proof of four squares theorem using projective geometry.
We study randomized sketching methods for approximately solving least-squares problem with a general convex constraint. The quality of a least-squares approximation can be assessed in different ways: either in terms of the value of the quadratic objective function (cost approximation), or in terms of some distance meas…
Any generalized distance-squared mapping of equidimensional case has singularities, and their singularity types are wrapped into mystery in higher dimensional cases. Any generalized distance-squared mapping of equidimensional case is not injective. Nevertheless, in this paper, it is shown that the non-singular property…
Researchers find a Steenrod square for link Floer homology.
Squared families are a new model class derived from linear transformations, offering convenient properties and universal approximation.
We compare the risk of ridge regression to a simple variant of ordinary least squares, in which one simply projects the data onto a finite dimensional subspace (as specified by a Principal Component Analysis) and then performs an ordinary (un-regularized) least squares regression in this subspace. This note shows that …
Guarantees uniform convergence for square-root Lipschitz losses.
Square loss performs comparably or better than cross-entropy in neural architectures for various tasks.
Square-tiled surfaces are a class of translation surfaces that are of particular interest in geometry and dynamics because, as covers of the square torus, they share some of its simplicity and structure. In this paper, we study counting problems that result from focusing on properties of the square torus one by one. Af…
Square inscribed in a curve made of two graph functions.
Investigates hypersurfaces in Finsler spaces with generalized square metrics.
This is a survey article on distance-squared mappings and related topics.
In the following text we compute possible heights of (Alexandroff square), (unit square with lexicographic order topology) and (unit square with induced topology of Euclidean plane). We prove , $P_h(\m…
In this paper, we study an important class of Finsler metrics--square metrics. We give two expressions of such metrics in terms of a Riemannian metric and a 1-form. We show that Einstein square metrics can be classified up to the classification of Einstein Riemannian metrics.
The paper improves bounds on how many squares can fit in a rectangle and still have stable homology.
This book introduces linear models and their theories rigorously.
Proposes a method to compute the second Steenrod square for odd Khovanov homology.
Ancient formula connects volume forms and infinitesimal square volumes in manifolds.
We study the asymptotic behaviour of doubly periodic instantons with square-integrable curvature. Then, we establish the equivalence given by the Nahm transform between the doubly periodic instantons with square integrable curvature and the wild harmonic bundles on the dual torus.
We introduce the implicitly constrained least squares (ICLS) classifier, a novel semi-supervised version of the least squares classifier. This classifier minimizes the squared loss on the labeled data among the set of parameters implied by all possible labelings of the unlabeled data. Unlike other discriminative semi-s…