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An Introduction to the Mathematical Theory of Inverse Problems / Andreas Kirsch
| An Introduction to the Mathematical Theory of Inverse Problems / Andreas Kirsch |
| Autore | Kirsch, Andreas |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvii, 400 p. : ill. ; 24 cm |
| Soggetto topico |
35-XX - Partial differential equations [MSC 2020]
35R30 - Inverse problems for PDEs [MSC 2020] 65J15 - Numerical solutions to equations with nonlinear operators [MSC 2020] 35P25 - Scattering theory for PDEs [MSC 2020] 34B24 - Sturm-Liouville theory [MSC 2020] 65J10 - Numerical solutions to equations with linear operators [MSC 2020] 65J20 - Numerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020] 35J05 - Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation [MSC 2020] |
| Soggetto non controllato |
Conjugate Gradient Method
Ill-posed problems Inverse Problems Landweber's method Scattering Theory Tikhonov regularization impedance tomography inverse spectral problems regularization techniques |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274541 |
Kirsch, Andreas
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
An Introduction to the Mathematical Theory of Inverse Problems / Andreas Kirsch
| An Introduction to the Mathematical Theory of Inverse Problems / Andreas Kirsch |
| Autore | Kirsch, Andreas |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xvii, 400 p. : ill. ; 24 cm |
| Soggetto topico |
34B24 - Sturm-Liouville theory [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 35J05 - Laplace operator, Helmholtz equation (reduced wave equation), Poisson equation [MSC 2020] 35P25 - Scattering theory for PDEs [MSC 2020] 35R30 - Inverse problems for PDEs [MSC 2020] 65J10 - Numerical solutions to equations with linear operators [MSC 2020] 65J15 - Numerical solutions to equations with nonlinear operators [MSC 2020] 65J20 - Numerical solutions of ill-posed problems in abstract spaces; regularization [MSC 2020] |
| Soggetto non controllato |
Conjugate Gradient Method
Ill-posed problems Inverse Problems Landweber's method Scattering Theory Tikhonov regularization impedance tomography inverse spectral problems regularization techniques |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274541 |
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Kirsch, Andreas
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to scientific computing and data analysis / Mark H. Holmes
| Introduction to scientific computing and data analysis / Mark H. Holmes |
| Autore | Holmes, Mark H. |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | xvi, 554 p. : ill. ; 24 cm |
| Soggetto topico |
00A06 - Mathematics for nonmathematicians (engineering, social sciences, etc.) [MSC 2020]
62-XX - Statistics [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62Jxx - Linear inference, regression [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65D05 - Numerical interpolation [MSC 2020] 65D30 - Numerical integration [MSC 2020] 65F15 - Numerical computation of eigenvalues and eigenvectors of matrices [MSC 2020] 65Gxx - Error analysis and interval analysis [MSC 2020] 65H05 - Numerical computation of solutions to single equations [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] 65L05 - Numerical methods for initial value problems [MSC 2020] 65Yxx - Computer aspects of numerical algorithms [MSC 2020] |
| Soggetto non controllato |
Conjugate Gradient Method
Data analysis Interpolation Nonlinear equations Numerical integration Numerical linear algebra Optimization Partial differential equations Scientific Computing Singular value decomposition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00278839 |
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Holmes, Mark H.
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| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to scientific computing and data analysis / Mark H. Holmes
| Introduction to scientific computing and data analysis / Mark H. Holmes |
| Autore | Holmes, Mark H. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIV, 497 p. : ill. ; 24 cm |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
65K10 - Numerical optimization and variational techniques [MSC 2020] 15-XX - Linear and multilinear algebra; matrix theory [MSC 2020] 65Zxx - Applications to the sciences [MSC 2020] 49Sxx - Variational principles of physics [MSC 2020] 65L12 - Finite difference and finite volume methods for ordinary differential equations [MSC 2020] 65L05 - Numerical methods for initial value problems [MSC 2020] 65Hxx - Nonlinear algebraic or transcendental equations [MSC 2020] 65D05 - Numerical interpolation [MSC 2020] 65D32 - Numerical quadrature and cubature formulas [MSC 2020] 65D30 - Numerical integration [MSC 2020] 65D07 - Numerical computation using splines [MSC 2020] 65Fxx - Numerical linear algebra [MSC 2020] 49Mxx - Numerical methods in optimal control [MSC 2020] 65D25 - Numerical differentiation [MSC 2020] |
| Soggetto non controllato |
Conjugate Gradient Method
Data analysis Interpolation Nonlinear equations Numerical integration Numerical linear algebra Optimization Partial differential equations Scientific Computing Singular value decomposition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0114896 |
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Holmes, Mark H.
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||
| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to scientific computing and data analysis / Mark H. Holmes
| Introduction to scientific computing and data analysis / Mark H. Holmes |
| Autore | Holmes, Mark H. |
| Pubbl/distr/stampa | [Cham], : Springer, 2016 |
| Descrizione fisica | XIV, 497 p. : ill. ; 24 cm |
| Soggetto topico |
15-XX - Linear and multilinear algebra; matrix theory [MSC 2020]
49Mxx - Numerical methods in optimal control [MSC 2020] 49Sxx - Variational principles of physics [MSC 2020] 65-XX - Numerical analysis [MSC 2020] 65D05 - Numerical interpolation [MSC 2020] 65D07 - Numerical computation using splines [MSC 2020] 65D25 - Numerical differentiation [MSC 2020] 65D30 - Numerical integration [MSC 2020] 65D32 - Numerical quadrature and cubature formulas [MSC 2020] 65Fxx - Numerical linear algebra [MSC 2020] 65Hxx - Nonlinear algebraic or transcendental equations [MSC 2020] 65K10 - Numerical optimization and variational techniques [MSC 2020] 65L05 - Numerical methods for initial value problems [MSC 2020] 65L12 - Finite difference and finite volume methods for ordinary differential equations [MSC 2020] 65Zxx - Applications to the sciences [MSC 2020] |
| Soggetto non controllato |
Conjugate Gradient Method
Data analysis Interpolation Nonlinear equations Numerical integration Numerical linear algebra Optimization Partial differential equations Scientific Computing Singular value decomposition |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00114896 |
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Holmes, Mark H.
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| [Cham], : Springer, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to Unconstrained Optimization with R / Shashi Kant Mishra, Bhagwat Ram
| Introduction to Unconstrained Optimization with R / Shashi Kant Mishra, Bhagwat Ram |
| Autore | Mishra, Shashi Kant |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xvi, 304 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ram, Bhagwat |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020] |
| Soggetto non controllato |
Basics of R
Conjugate Direction Methods Conjugate Gradient Method Newton's method Numerical optimization One-dimensional Optimization Optimization Text Quasi-Newton Methods Steepest Descent Method Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0127314 |
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Mishra, Shashi Kant
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| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Introduction to Unconstrained Optimization with R / Shashi Kant Mishra, Bhagwat Ram
| Introduction to Unconstrained Optimization with R / Shashi Kant Mishra, Bhagwat Ram |
| Autore | Mishra, Shashi Kant |
| Pubbl/distr/stampa | Singapore, : Springer, 2019 |
| Descrizione fisica | xvi, 304 p. : ill. ; 24 cm |
| Altri autori (Persone) | Ram, Bhagwat |
| Soggetto topico |
65-XX - Numerical analysis [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020] |
| Soggetto non controllato |
Basics of R
Conjugate Direction Methods Conjugate Gradient Method Newton's method Numerical optimization One-dimensional Optimization Optimization Text Quasi-Newton Methods Steepest Descent Method Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00127314 |
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Mishra, Shashi Kant
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||
| Singapore, : Springer, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modern Numerical Nonlinear Optimization / Neculai Andrei
| Modern Numerical Nonlinear Optimization / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxxiii, 807 p. : ill. ; 24 cm |
| Soggetto non controllato |
Augmented Lagrangian
Conjugate Gradient Method Constrained nonlinear optimization Filter methods Inexact Newton method Interior point methods Newton method Penalty Lagrangian Quadratic programming Quasi-Newton Methods Sequential quadratic programming Simple bound optimization Steepest Descent Method Stepsize computation Trust-region method Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0277959 |
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Andrei, Neculai
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| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Modern Numerical Nonlinear Optimization / Neculai Andrei
| Modern Numerical Nonlinear Optimization / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | xxxiii, 807 p. : ill. ; 24 cm |
| Soggetto non controllato |
Augmented Lagrangian
Conjugate Gradient Method Constrained nonlinear optimization Filter methods Inexact Newton method Interior point methods Newton method Penalty Lagrangian Quadratic programming Quasi-Newton Methods Sequential quadratic programming Simple bound optimization Steepest Descent Method Stepsize computation Trust-region method Unconstrained Optimization |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00277959 |
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Andrei, Neculai
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||
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Nonlinear Conjugate Gradient Methods for Unconstrained Optimization / Neculai Andrei
| Nonlinear Conjugate Gradient Methods for Unconstrained Optimization / Neculai Andrei |
| Autore | Andrei, Neculai |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xxviii, 498 p. : ill. ; 24 cm |
| Soggetto topico |
90C90 - Applications of mathematical programming [MSC 2020]
90C30 - Nonlinear programming [MSC 2020] 49M37 - Numerical methods based on nonlinear programming [MSC 2020] 65K05 - Numerical mathematical programming methods [MSC 2020] 90C06 - Large-scale problems in mathematical programming [MSC 2020] |
| Soggetto non controllato |
BFGS method
Conjugate Gradient Method Conjugate gradient algorithm Dai and Lao Quasi-Newton method Steepest Descent Method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249538 |
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Andrei, Neculai
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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