Matrix Chain Multiplication

Michal Mankowski; Mikhail Moshkov

doi:10.1007/978-3-030-63920-4_5

Matrix Chain Multiplication

Michal Mankowski^*, Mikhail Moshkov

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Matrix chain multiplication is one of the classic optimization problems in computer science. For a given sequence A₁, A₂, …, A_n of matrices, we need to compute the product of these matrices using the minimum number of scalar multiplications on a single processor machine.

Original language	English (US)
Title of host publication	Studies in Systems, Decision and Control
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	51-62
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-030-63920-4_5
State	Published - 2021

Publication series

Name	Studies in Systems, Decision and Control
Volume	331
ISSN (Print)	2198-4182
ISSN (Electronic)	2198-4190

ASJC Scopus subject areas

Computer Science (miscellaneous)
Control and Systems Engineering
Automotive Engineering
Social Sciences (miscellaneous)
Economics, Econometrics and Finance (miscellaneous)
Control and Optimization
Decision Sciences (miscellaneous)

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10.1007/978-3-030-63920-4_5

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abstract = "Matrix chain multiplication is one of the classic optimization problems in computer science. For a given sequence A1, A2, …, An of matrices, we need to compute the product of these matrices using the minimum number of scalar multiplications on a single processor machine.",

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M3 - Chapter

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BT - Studies in Systems, Decision and Control

PB - Springer Science and Business Media Deutschland GmbH

ER -

Matrix Chain Multiplication

Abstract

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