The Locator -- [(subject = "Mathematical optimization")]

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Author:
Wright, Stephen J., 1960- author.
Title:
Optimization for data analysis / Stephen J. Wright and Benjamin Recht.
Publisher:
Cambridge University Press,
Copyright Date:
2022
Description:
x, 227 pages : illustrations ; 24 cm
Subject:
Big data.
Mathematical optimization.
Quantitative research.
Artificial intelligence.
Other Authors:
Recht, Benjamin, author.
Notes:
Includes bibliographical references and index.
Summary:
"Optimization formulations and algorithms have long played a central role in data analysis and machine learning. Maximum likelihood concepts date to Gauss and Laplace in the late 1700s ; problems of this type drove developments in unconstrained optimization in the latter half of the 20th century. Mangasarian's papers in the 1960s on pattern separation using linear programming made an explicit connection between machine learning and optimization in the early days of the former subject. During the 1990s, optimization techniques (especially quadratic programming and duality) were key to the development of support vector machines and kernel learning. The period 1997-2010 saw many synergies emerge between regularized / sparse optimization, variable selection, and compressed sensing. In the current era of deep learning, two optimization techniques-stochastic gradient and automatic differentiation (a.k.a. back-propagation)-are essential"-- Provided by publisher.
ISBN:
1316518981
9781316518984
OCLC:
(OCoLC)1240306218
LCCN:
2021028671
Locations:
USUX851 -- Iowa State University - Parks Library (Ames)

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