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Product (mathematics)

About: Product (mathematics) is a research topic. Over the lifetime, 44382 publications have been published within this topic receiving 377809 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a linearization of the distributivity of product over sum is proposed to model Gentzen's cut rule and can be strengthened in two natural ways to generate full distributivity and ∗autonomous categories.

200 citations

Patent
30 Mar 2001
TL;DR: In this paper, the authors present a system and methods for searching a product catalog data collection in such a manner that it is easy to search, drill down, drill-up and drill across products in the data collection using multiple, independent hierarchical category taxonomies of the products.
Abstract: The present invention relates to systems and methods for searching a product catalog data collection in such a manner that it is easy to search, drill down, drill-up and drill across products in the data collection using multiple, independent hierarchical category taxonomies of the products in the product catalog data collection.

199 citations

Journal ArticleDOI
TL;DR: A least-squares approximation to a first order system which involves a discrete inner product which is related to the inner product in H -1 (Ω) (the Sobolev space of order minus one on Ω) results in a method of approximation which is optimal with respect to the required regularity.
Abstract: The purpose of this paper is to develop and analyze a least-squares approximation to a first order system. The first order system represents a reformulation of a second order elliptic boundary value problem which may be indefinite and/or nonsymmetric. The approach taken here is novel in that the least-squares functional employed involves a discrete inner product which is related to the inner product in H -1 (Ω) (the Sobolev space of order minus one on Ω). The use of this inner product results in a method of approximation which is optimal with respect to the required regularity as well as the order of approximation even when applied to problems with low regularity solutions. In addition, the discrete system of equations which needs to be solved in order to compute the resulting approximation is easily preconditioned, thus providing an efficient method for solving the algebraic equations. The preconditioner for this discrete system only requires the construction of preconditioners for standard second order problems, a task which is well understood.

198 citations

Journal ArticleDOI
TL;DR: In this article, a new distance characterization of Aleksandrov spaces of non-positive curvature is presented, where the quasi-inner product is defined by the quadrilateral cosine, a metric substitute for the angular measure between two directions at different points.
Abstract: We present a new distance characterization of Aleksandrov spaces of non-positive curvature. By introducing a quasilinearization for abstract metric spaces we draw an analogy between characterization of Aleksandrov spaces and inner product spaces; the quasi-inner product is defined by means of the quadrilateral cosine—a metric substitute for the angular measure between two directions at different points. Our main result states that a geodesically connected metric space \({\left(\mathcal{M},\rho\right)}\) is an Aleksandrov \({\Re_{0}}\) domain (also known as a CAT(0) space) if and only if the quadrilateral cosine does not exceed one for every two pairs of distinct points in \({\mathcal{M}}\) . We also observe that a geodesically connected metric space \({\left(\mathcal{M},\rho\right)}\) is an \({\Re_{0}}\) domain if and only if, for every quadruple of points in \({\mathcal{M}}\) , the quadrilateral inequality (known as Euler’s inequality in \({\mathbb{R}^{2}}\)) holds. As a corollary of our main result we give necessary and sufficient conditions for a semimetric space to be an \({\Re_{0}}\) domain. Our results provide a complete solution to the Curvature Problem posed by Gromov in the context of metric spaces of non-positive curvature.

198 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20251
20244
20239,015
202219,171
20212,013
20202,263