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We study a unified framework for optimization problems defined on dual-modular instances, where the input comprises a finite ground set $V$ and two set functions: a monotone supermodular reward function $\f$ and a strictly monotone…

Discrete Mathematics · Computer Science 2025-05-27 T-H. Hubert Chan , Shinuo Ma

The authors have conjectured (\cite{KoM}) that if a normalized generalized modular function (GMF) $f$, defined on a congruence subgroup $\Gamma$, has integral Fourier coefficients, then $f$ is classical in the sense that some power $f^m$ is…

Number Theory · Mathematics 2010-03-12 Winfried Kohnen , Geoffrey Mason

We show that for any constant $\epsilon > 0$ and $p \ge 1$, it is possible to distinguish functions $f : \{0,1\}^n \to [0,1]$ that are submodular from those that are $\epsilon$-far from every submodular function in $\ell_p$ distance with a…

Data Structures and Algorithms · Computer Science 2016-11-24 Eric Blais , Abhinav Bommireddi

We investigate infinite dimensional modules for an affine group scheme $\mathbb G$ of finite type over a field of positive characteristic $p$. For any subspace $X \subset \mathcal O(\mathbb G)$ of the coordinate algebra of $\mathbb G$, we…

Representation Theory · Mathematics 2024-02-12 Eric M. Friedlander

We define the supermodular rank of a function on a lattice. This is the smallest number of terms needed to decompose it into a sum of supermodular functions. The supermodular summands are defined with respect to different partial orders. We…

Combinatorics · Mathematics 2023-05-25 Rishi Sonthalia , Anna Seigal , Guido Montufar

Given a germ of holomorphic map $f$ from $\mathbb C^n$ to $\mathbb C^{n+1}$, we define a module $M(f)$ whose dimension over $\mathbb C$ is an upper bound for the $\mathscr A$-codimension of $f$, with equality if $f$ is weighted homogeneous.…

Algebraic Geometry · Mathematics 2016-04-11 J. Fernández de Bobadilla , J. J. Nuño-Ballesteros , G. Peñafort-Sanchis

Functions with uniform sublevel sets can represent orders, preference relations or other binary relations and thus turn out to be a tool for scalarization that can be used in multicriteria optimization, decision theory, mathematical…

Optimization and Control · Mathematics 2017-12-06 Petra Weidner

The essential variables in a finite function $f$ are defined as variables which occur in $f$ and weigh with the values of that function. The number of essential variables is an important measure of complexity for discrete functions. When…

Computational Complexity · Computer Science 2015-01-05 Sl. Shtrakov , I. Damyanov

Let $(X, \mathscr{L}, \lambda)$ and $(Y, \mathscr{M}, \mu)$ be finite measure spaces for which there exist $A \in \mathscr{L}$ and $B \in \mathscr{M}$ with either $0 < \lambda(A) < 1 < \lambda(X)$ and $0 < \mu(B) < \mu(Y)$, or the other way…

Functional Analysis · Mathematics 2023-05-08 Dorota Glazowska , Paolo Leonetti , Janusz Matkowski , Salvatore Tringali

We start with an overview of a class of submodular functions called SCMMs (sums of concave composed with non-negative modular functions plus a final arbitrary modular). We then define a new class of submodular functions we call {\em deep…

Machine Learning · Computer Science 2017-02-01 Jeffrey Bilmes , Wenruo Bai

Maximizing a non-negative, monontone, submodular function $f$ over $n$ elements under a cardinality constraint $k$ (SMCC) is a well-studied NP-hard problem. It has important applications in, e.g., machine learning and influence…

Data Structures and Algorithms · Computer Science 2024-02-05 Philip Cervenjak , Junhao Gan , Anthony Wirth

It is generally believed that submodular functions -- and the more general class of $\gamma$-weakly submodular functions -- may only be optimized under the non-negativity assumption $f(S) \geq 0$. In this paper, we show that once the…

Data Structures and Algorithms · Computer Science 2019-04-23 Christopher Harshaw , Moran Feldman , Justin Ward , Amin Karbasi

In this paper we develop general formulas for the subdifferential of the pointwise supremum of convex functions, which cover and unify both the compact continuous and the non-compact non-continuous settings. From the non-continuous to the…

Optimization and Control · Mathematics 2020-04-03 Rafael Correa , Abderrahim Hantoute , Marco Antonio López

Let $D$ be a division ring, $\mathcal V$ and $ \mathcal W$ vector spaces over $D$, and ${\mathcal L(\mathcal V,\mathcal W)}$ the ${\mathcal L(\mathcal W)}$-${\mathcal L(\mathcal V)}$ bimodule of all linear transformations from $\mathcal V$…

Rings and Algebras · Mathematics 2015-08-04 M. Rahimi-Alangi , Bamdad R. Yahaghi

Let $\Diffeo=\Diffeo(\R)$ denote the group of infinitely-differentiable diffeomorphisms of the real line $\R$, under the operation of composition, and let $\Diffeo^+$ be the subgroup of diffeomorphisms of degree +1, i.e.…

Dynamical Systems · Mathematics 2014-02-11 Anthony G. O'Farrell , Maria Roginskaya

To a smooth and symmetric function $f$ defined on a symmetric open set $\Gamma\subset\mathbb{R}^{n}$ and a real $n$-dimensional vector space $V$ we assign an associated operator function $F$ defined on an open subset…

Representation Theory · Mathematics 2018-05-23 Julian Scheuer

Let V be a simple vertex operator algebra and let G be a finite automorphism group of V. In [DY], it was shown that any irreducible V-module is a completely reducible V^G-module where V^G is the G-invariant sub-vertex operator algebra of V.…

Quantum Algebra · Mathematics 2007-05-23 Gaywalee Yamskulna

In this paper, we propose the first exact algorithm for minimizing the difference of two submodular functions (D.S.), i.e., the discrete version of the D.C. programming problem. The developed algorithm is a branch-and-bound-based algorithm…

Data Structures and Algorithms · Computer Science 2011-08-23 Yoshinobu Kawahara , Takashi Washio

We show that for any continuous monotonic fixed-point free automorphism $f$ on a $\sigma$-compact subgroup $G\subset \mathbb R$ there exists a binary operation $+_f$ such that $\langle G, +_f\rangle$ is a topological group topologically…

General Topology · Mathematics 2016-06-17 Raushan Buzyakova

We investigate the possibility that supersymmetry is not a fundamental symmetry of nature, but emerges as an accidental approximate global symmetry at low energies. This can occur if the visible sector is non-supersymmetric at high scales,…

High Energy Physics - Theory · Physics 2010-02-03 Hock-Seng Goh , Markus A. Luty , Siew-Phang Ng
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