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When modeling physical properties of molecules with machine learning, it is desirable to incorporate $SO(3)$-covariance. While such models based on low body order features are not complete, we formulate and prove general completeness…

Machine Learning · Computer Science 2024-09-05 Hartmut Maennel , Oliver T. Unke , Klaus-Robert Müller

We outline a new algorithm to solve coupled systems of differential equations in one continuous variable $x$ (resp. coupled difference equations in one discrete variable $N$) depending on a small parameter $\epsilon$: given such a system…

Symbolic Computation · Computer Science 2014-07-11 Johannes Bluemlein , Abilio De Freitas , Carsten Schneider

We define a categorical framework in which we build a systematic construction that provides generic invariants for C*-algebras. The benefit is significant as we show that any invariant arising this way automatically enjoys nice properties…

Operator Algebras · Mathematics 2023-09-06 Laurent Cantier

This is a sequel to our previous paper of oriented bivariant theory [14]. In 2001 M. Levine and F. Morel constructed algebraic cobordism $\Omega_*(X)$ for schemes $X$ over a field $k$ in an abstract way and later M. Levine and R.…

Algebraic Geometry · Mathematics 2019-10-10 Shoji Yokura

A variational approach is used to develop a robust numerical procedure for solving the nonlinear Poisson-Boltzmann equation. Following Maggs et al., we construct an appropriate constrained free energy functional, such that its…

Soft Condensed Matter · Physics 2020-04-29 M. Baptista , R. Schmitz , B. Duenweg

We use classical invariant theory to construct invariants of complex graded Gorenstein algebras of finite vector space dimension. As a consequence, we obtain a way of extracting certain numerical invariants of quasi-homogeneous isolated…

Complex Variables · Mathematics 2012-07-03 M. G. Eastwood , A. V. Isaev

We propose a modification of the Sp(2) covariant superfield quantization to realize a superalgebra of generating operators isomorphic to the massless limit of the corresponding superalgebra of the osp(1,2) covariant formalism. The modified…

High Energy Physics - Theory · Physics 2015-06-26 D. M. Gitman , P. Yu. Moshin

Many hard combinatorial problems can be modeled by a system of polynomial equations. N. Alon coined the term polynomial method to describe the use of nonlinear polynomials when solving combinatorial problems. We continue the exploration of…

Combinatorics · Mathematics 2010-06-08 J. A. De Loera , C. Hillar , P. N. Malkin , M. Omar

A new analytical operator method is discussed which solves linear ordinary differential equations with regular singularities. Solutions are obtained in analytic series form and also in Mellin-Barnes-type contour integral form. Exact series…

Mathematical Physics · Physics 2009-02-06 Wrick Sengupta

A formula for computation of the Poincar\'e series $P_d(z)$ of the algebra of the covariants of binary $d$-form is found. By using it, we have computed the $P_d(z)$ for $d \leq 20.$

Algebraic Geometry · Mathematics 2010-10-12 Leonid Bedratyuk

The first quantum algorithm to offer an exponential speedup (in the query complexity setting) over classical algorithms was Simon's algorithm for identifying a hidden exclusive-or mask. Here we observe how part of Simon's algorithm can be…

Quantum Physics · Physics 2008-08-04 D. Bacon

The purpose of this paper is to present a class of particular solutions of a C(2,1) conformally invariant nonlinear Klein-Gordon equation by symmetry reduction. Using the subgroups of similitude group reduced ordinary differential equations…

solv-int · Physics 2009-10-31 F. Gungor

Let K be a number field with euclidean ring of integers O. Let G be a finite-index torsion-free subgroup of Sp(2n, O). We exhibit a finite, geometrically defined spanning set of the top dimensional integral cohomology of G by generalizing…

Number Theory · Mathematics 2007-05-23 Paul E. Gunnells

We provide a numerical scheme to approximate as closely as desired the Gaussian or exponential measure $\mu(\om)$ of (not necessarily compact) basic semi-algebraic sets$\om\subset\R^n$. We obtain two monotone (non increasing and non…

Optimization and Control · Mathematics 2017-07-11 Jean-Bernard Lasserre

We give an alternative presentation of Khovanov homology of links with strict functoriality result over integers. The construction uses an oriented $sl(2)$ state model allowing a natural definition of the boundary operator as twisted action…

Geometric Topology · Mathematics 2014-05-29 Christian Blanchet

In order to obtain a classification of all possible quantum deformations of the two-photon algebra $h_6$, we introduce its corresponding general Lie bialgebra, which is a coboundary one. Two non-standard quantum deformations of $h_6$,…

Quantum Algebra · Mathematics 2007-05-23 Preeti Parashar , Angel Ballesteros , Francisco J. Herranz

InfoMod is a new software and application devoted to the modular group, PSL2(Z). It has algorithms that deals with the classical correspondences among continued fractions, geodesics on the modular surface and binary quadratic forms. In…

Number Theory · Mathematics 2017-04-05 Ayberk Zeytin , Hakan Ayral , A. Muhammed Uludağ

Binary image based classification and retrieval of documents of an intellectual nature is a very challenging problem. Variations in the binary image generation mechanisms which are subject to the document artisan designer including drawing…

Computer Vision and Pattern Recognition · Computer Science 2020-04-28 Juan Castorena , Manish Bhattarai , Diane Oyen

This article provides a method for constructing invariants and semi-invariants of a binary $N$-ic form over a field $k$ characteristics $0$ or $p > N$. A practical and broadly applicable sufficient condition for ensuring nontriviality of…

Commutative Algebra · Mathematics 2021-04-16 Shashikant Mulay

We present an alternative way of solving the steerable kernel constraint that appears in the design of steerable equivariant convolutional neural networks. We find explicit real and complex bases which are ready to use, for different…

Machine Learning · Computer Science 2026-03-16 Alan Garbarz