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Numerical Nonsmooth Optimization : State of the Art Algorithms / Adil M. Bagirov ... [et al.] editors
Numerical Nonsmooth Optimization : State of the Art Algorithms / Adil M. Bagirov ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xvii, 698 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
Soggetto non controllato Bundle methods
Derivative-free methods
Discrete gradient based methods
Inexact data
Linearization
Noncontinuous NSO
Nondifferentiable optimization
Nonsmooth analysis
Penalty functions
Piecewise smooth
Stochastic methods for NSO
Subgradient methods
Test problems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0249559
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Numerical Nonsmooth Optimization : State of the Art Algorithms / Adil M. Bagirov ... [et al.] editors
Numerical Nonsmooth Optimization : State of the Art Algorithms / Adil M. Bagirov ... [et al.] editors
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xvii, 698 p. : ill. ; 24 cm
Soggetto topico 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
68-XX - Computer science [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
Soggetto non controllato Bundle methods
Derivative-free methods
Discrete gradient based methods
Inexact data
Linearization
Noncontinuous NSO
Nondifferentiable optimization
Nonsmooth analysis
Penalty functions
Piecewise smooth
Stochastic methods for NSO
Subgradient methods
Test problems
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00249559
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
The Linearization Method for Constrained Optimization / Boris N. Pshenichnyj ; Translated from the Russian by Stephen S. Wilson
The Linearization Method for Constrained Optimization / Boris N. Pshenichnyj ; Translated from the Russian by Stephen S. Wilson
Autore Pshenichnyj, Boris N.
Pubbl/distr/stampa Berlin ; Heidelberg, : Springer-Verlag, 1994
Descrizione fisica vii, 147 p. ; 24 cm
Soggetto topico 49K35 - Optimality conditions for minimax problems [MSC 2020]
49M37 - Numerical methods based on nonlinear programming [MSC 2020]
65Hxx - Nonlinear algebraic or transcendental equations [MSC 2020]
90C05 - Linear programming [MSC 2020]
90C20 - Quadratic programming [MSC 2020]
90C25 - Convex programming [MSC 2020]
Soggetto non controllato Algorithm optimization
Algorithms
Economics
Linear optimization
Newton's methods
Nonlinear Programming
Optimization
Optimization theory
Penalty functions
Programming
Quadratic programming
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00292410
Pshenichnyj, Boris N.  
Berlin ; Heidelberg, : Springer-Verlag, 1994
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui