First-order and Stochastic Optimization Methods for Machine Learning / Guanghui Lan |
Autore | Lan, Guanghui |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xiii, 582 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
90C25 - Convex programming [MSC 2020] 90C15 - Stochastic programming [MSC 2020] 68W15 - Distributed algorithms [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68W27 - Online algorithms; streaming algorithms [MSC 2020] |
Soggetto non controllato |
Distributed and decentralized methods
Machine learning algorithms Nonconvex optimization methods Randomized algorithms Stochastic optimization methods |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249143 |
Lan, Guanghui
![]() |
||
Cham, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
First-order and Stochastic Optimization Methods for Machine Learning / Guanghui Lan |
Autore | Lan, Guanghui |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xiii, 582 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68W15 - Distributed algorithms [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68W27 - Online algorithms; streaming algorithms [MSC 2020] 90C15 - Stochastic programming [MSC 2020] 90C25 - Convex programming [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] |
Soggetto non controllato |
Distributed and decentralized methods
Machine learning algorithms Nonconvex optimization methods Randomized algorithms Stochastic optimization methods |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00249143 |
Lan, Guanghui
![]() |
||
Cham, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2020, Oxford, United Kingdom, August 10–14 / Alexander Keller editor |
Autore | Keller, Alexander |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xvi, 311 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
65-XX - Numerical analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] |
Soggetto non controllato |
Control variates
Density Estimation Light transport simulation Low-discrepancy sequences Markov Chain Monte Carlo Monte Carlo Neural networks Quasi-Monte Carlo Quasi-Monte Carlo software Randomized algorithms Sampling Stochastic simulation Variance reduction |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0277961 |
Keller, Alexander
![]() |
||
Cham, : Springer, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Monte Carlo and Quasi-Monte Carlo Methods : MCQMC 2020, Oxford, United Kingdom, August 10–14 / Alexander Keller editor |
Autore | Keller, Alexander |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | xvi, 311 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
65-XX - Numerical analysis [MSC 2020] 65C05 - Monte Carlo methods [MSC 2020] |
Soggetto non controllato |
Control variates
Density Estimation Light transport simulation Low-discrepancy sequences Markov Chain Monte Carlo Monte Carlo Neural networks Quasi-Monte Carlo Quasi-Monte Carlo software Randomized algorithms Sampling Stochastic simulation Variance reduction |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00277961 |
Keller, Alexander
![]() |
||
Cham, : Springer, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Non-Convex Multi-Objective Optimization / Panos M. Pardalos, Antanas Žilinskas, Julius Žilinskas |
Autore | Pardalos, Panos M. |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xi, 192 p. : ill. ; 24 cm |
Altri autori (Persone) |
Žilinskas, Antanas
Žilinskas, Julius |
Soggetto topico |
90C90 - Applications of mathematical programming [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020] 90C26 - Nonconvex programming, global optimization [MSC 2020] |
Soggetto non controllato |
Applications in engineering
Binary-Linear Model Branch-and-Bound approach Continuous problems Lipschitz optimization Multidimensional Bi-Objective Lipschitz Optimization Non-convex multi-objective optimization Normal Boundary Intersection Optimal Algorithms for Lipschitz Functions Optimal Passive Algorithm Optimal Sequential Algorithm Pareto Frontier Pareto Optimal Decisions Pareto Sets Randomized algorithms Scalarization Software and applications Statistical Models for Global Optimization Tchebycheff Method Trisection of a Hyper-rectangle |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0123785 |
Pardalos, Panos M.
![]() |
||
Cham, : Springer, 2017 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Non-Convex Multi-Objective Optimization / Panos M. Pardalos, Antanas Žilinskas, Julius Žilinskas |
Autore | Pardalos, Panos M. |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xi, 192 p. : ill. ; 24 cm |
Altri autori (Persone) |
Žilinskas, Antanas
Žilinskas, Julius |
Soggetto topico |
90-XX - Operations research, mathematical programming [MSC 2020]
90C26 - Nonconvex programming, global optimization [MSC 2020] 90C90 - Applications of mathematical programming [MSC 2020] |
Soggetto non controllato |
Applications in engineering
Binary-Linear Model Branch-and-Bound approach Continuous problems Lipschitz optimization Multidimensional Bi-Objective Lipschitz Optimization Non-convex multi-objective optimization Normal Boundary Intersection Optimal Algorithms for Lipschitz Functions Optimal Passive Algorithm Optimal Sequential Algorithm Pareto Frontier Pareto Optimal Decisions Pareto Sets Randomized algorithms Scalarization Software and applications Statistical Models for Global Optimization Tchebycheff Method Trisection of a Hyper-rectangle |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00123785 |
Pardalos, Panos M.
![]() |
||
Cham, : Springer, 2017 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Probability and Simulation / Giray Ökten |
Autore | Ökten, Giray |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | x, 152 p. : ill. ; 24 cm |
Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
97K50 - Probability theory (educational aspects) [MSC 2020] |
Soggetto non controllato |
Inquiry-Based Learning
Julia programming Markov Chains Monte Carlo integration Probability Random variables Randomized algorithms Simulation Stochastic models Undergraduate probability |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249658 |
Ökten, Giray
![]() |
||
Cham, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Probability and Simulation / Giray Ökten |
Autore | Ökten, Giray |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | x, 152 p. : ill. ; 24 cm |
Soggetto topico |
60-XX - Probability theory and stochastic processes [MSC 2020]
97K50 - Probability theory (educational aspects) [MSC 2020] |
Soggetto non controllato |
Inquiry-Based Learning
Julia programming Markov Chains Monte Carlo integration Probability Random variables Randomized algorithms Simulation Stochastic models |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00249658 |
Ökten, Giray
![]() |
||
Cham, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Theory and Computation of Complex Tensors and its Applications / Maolin Che, Yimin Wei |
Autore | Che, Maolin |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xii, 250 p. : ill. ; 24 cm |
Altri autori (Persone) | Wei, Yimin |
Soggetto topico |
53-XX - Differential geometry [MSC 2020]
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 15A72 - Vector and tensor algebra, theory of invariants [MSC 2020] 62-XX - Statistics [MSC 2020] |
Soggetto non controllato |
Matrix theory
Nonnegative tensors Randomized algorithms Tensor complementarity problems Tensor spectral theory U-eigenpairs US-eigenvalues |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0250486 |
Che, Maolin
![]() |
||
Singapore, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Theory and Computation of Complex Tensors and its Applications / Maolin Che, Yimin Wei |
Autore | Che, Maolin |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xii, 250 p. : ill. ; 24 cm |
Altri autori (Persone) | Wei, Yimin |
Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
15A72 - Vector and tensor algebra, theory of invariants [MSC 2020] 53-XX - Differential geometry [MSC 2020] 62-XX - Statistics [MSC 2020] |
Soggetto non controllato |
Matrix theory
Nonnegative tensors Randomized algorithms Tensor complementarity problems Tensor spectral theory U-eigenpairs US-eigenvalues |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN00250486 |
Che, Maolin
![]() |
||
Singapore, : Springer, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Vanvitelli | ||
|