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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.


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Journal ArticleDOI
TL;DR: In this paper, a necessary and sufficient condition for a ranked partially ordered set to be rank symmetric, rank unimodal and strongly Sperner is presented, which is used to provide a new short proof that this combination of properties is preserved under the product operation.
Abstract: A ranked partially ordered set is said to be Sperner if it has no antichain bigger than its largest rank. A necessary and sufficient condition for a ranked partially ordered set to be rank symmetric, rank unimodal and strongly Sperner is presented. This condition involves representations of $\mathfrak{sl} ( 2,\mathbb{C} )$. It is used to provide a new, short proof that this combination of properties is preserved under the product operation. The sufficient part of this condition is also used to provide new, simpler proofs that certain combinatorially interesting partially ordered sets are rank symmetric, rank unimodal and strongly Sperner.

61 citations

Journal ArticleDOI
TL;DR: This paper considers the computation of matrix chain products of the form M_1 \times M_2 \times \cdots M_{n - 1} and presents some theorems about an optimum order of computing the matrices.
Abstract: This paper considers the computation of matrix chain products of the form $M_1 \times M_2 \times \cdots \times M_{n - 1} $. If the matrices are of different dimensions, the order in which the product is computed affects the number of operations. An optimum order is an order which minimizes the total number of operations. We present some theorems about an optimum order of computing the matrices. Based on these theorems, an $O(n\log n)$ algorithm for finding an optimum order will be presented in Part II.

61 citations

Journal ArticleDOI
TL;DR: In this paper, a matrix-based product model and a genetic algorithm are used for forward assembly sequence planning, and the fitness function of the GA is used to find enhanced product assembly sequences that are improved for stability, that require fewer assembly direction reorientations, and meet product geometric assembly constraints.

61 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