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Optimality Conditions and Duality Theory for Minimizing Sums of the Largest Eigenvalues of Symmetric Matrices (Classic Reprint) - Brossura
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Excerpt from Optimality Conditions and Duality Theory for Minimizing Sums of the Largest Eigenvalues of Symmetric Matrices
Note that the inequality U I is not required. Equation (1 11) is moderately well known; see Fletcher (1985) and Overton (1988.
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- EditoreForgotten Books
- Data di pubblicazione2018
- ISBN 10 1334016062
- ISBN 13 9781334016066
- RilegaturaCopertina flessibile
- LinguaInglese
- Numero di pagine52
- Contatto del produttorenon disponibile
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Optimality Conditions and Duality Theory for Minimizing Sums of the Largest Eigenvalues of Symmetric Matrices (Classic Reprint)
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LX-9781334016066
Quantità: 15 disponibili
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Optimality Conditions and Duality Theory for Minimizing Sums of the Largest Eigenvalues of Symmetric Matrices (Classic Reprint)
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo LX-9781334016066
Quantità: 15 disponibili
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Optimality Conditions and Duality Theory for Minimizing Sums of the Largest
Print on DemandDa: Forgotten Books, London, Regno Unito
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Paperback. Condizione: New. Print on Demand. This book meticulously details the mathematical theory and differential properties of sums of eigenvalues of symmetric matrices, examining both their largest and smallest eigenvalues. By establishing max characterizations for these values, the author successfully formulates necessary conditions for local minimizers. Additionally, the book provides a detailed analysis of the generalized gradient of eigenvalue sums, demonstrating the deep interconnections between the sets of positive semi-definite matrices and the sets of matrices whose eigenvalues lie within specific intervals. Through the development of model minimization algorithms, the book offers practical applications for the theoretical results presented, showcasing their significance in real-world problem-solving. The author's work expands our knowledge of eigenvalue sums and offers valuable insights for researchers in matrix theory and optimization. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Codice articolo 9781334016066_0
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