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An Introduction to the Topological Derivative Method / Antonio André Novotny, Jan Sokołowski
An Introduction to the Topological Derivative Method / Antonio André Novotny, Jan Sokołowski
Autore Novotny, Antonio André
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica x, 114 p. : ill. ; 24 cm
Altri autori (Persone) Sokołowski, Jan
Soggetto topico 49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
65K10 - Numerical optimization and variational techniques [MSC 2020]
49J20 - Existence theories for optimal control problems involving partial differential equations [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
49Q10 - Optimization of shapes other than minimal surfaces [MSC 2020]
94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020]
35J20 - Variational methods for second-order elliptic equations [MSC 2020]
49Q12 - Sensitivity analysis for optimization problems on manifolds [MSC 2020]
74A45 - Theories of fracture and damage [MSC 2020]
54C56 - Shape theory in general topology [MSC 2020]
Soggetto non controllato Asymptotic analysis
Necessary optimality condition
Nonconvex optimization
Partial differential equations
Sensitivity analysis
Shape Optimization
Topological derivatives
Topology optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248682
Novotny, Antonio André  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
An Introduction to the Topological Derivative Method / Antonio André Novotny, Jan Sokołowski
An Introduction to the Topological Derivative Method / Antonio André Novotny, Jan Sokołowski
Autore Novotny, Antonio André
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica x, 114 p. : ill. ; 24 cm
Altri autori (Persone) Sokołowski, Jan
Soggetto topico 35J20 - Variational methods for second-order elliptic equations [MSC 2020]
49-XX - Calculus of variations and optimal control; optimization [MSC 2020]
49J20 - Existence theories for optimal control problems involving partial differential equations [MSC 2020]
49Q10 - Optimization of shapes other than minimal surfaces [MSC 2020]
49Q12 - Sensitivity analysis for optimization problems on manifolds [MSC 2020]
54C56 - Shape theory in general topology [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
65K10 - Numerical optimization and variational techniques [MSC 2020]
74A45 - Theories of fracture and damage [MSC 2020]
90-XX - Operations research, mathematical programming [MSC 2020]
94A08 - Image processing (compression, reconstruction, etc.) in information and communication theory [MSC 2020]
Soggetto non controllato Asymptotic analysis
Necessary optimality condition
Nonconvex optimization
Partial differential equations
Sensitivity analysis
Shape Optimization
Topological derivatives
Topology optimization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00248682
Novotny, Antonio André  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Applying Quantitative Bias Analysis to Epidemiologic Data / Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash
Applying Quantitative Bias Analysis to Epidemiologic Data / Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash
Autore Fox, Matthew P.
Edizione [2. rev. ed]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xvi, 467 p. : ill. ; 24 cm
Altri autori (Persone) Lash, Timothy L.
MacLehose, Richard F.
Soggetto topico 62-XX - Statistics [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
92D30 - Epidemiology [MSC 2020]
62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020]
Soggetto non controllato Bayesian methods
Bias analysis
Classification
Confounding
Epidemiology
Information bias
Master Patient Index
Measurement bias
Measurement error
Misclassification
Monte Carlo analysis
Selection bias
Sensitivity analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274564
Fox, Matthew P.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Applying Quantitative Bias Analysis to Epidemiologic Data / Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash
Applying Quantitative Bias Analysis to Epidemiologic Data / Matthew P. Fox, Richard F. MacLehose, Timothy L. Lash
Autore Fox, Matthew P.
Edizione [2. rev. ed]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xvi, 467 p. : ill. ; 24 cm
Altri autori (Persone) Lash, Timothy L.
MacLehose, Richard F.
Soggetto topico 62-XX - Statistics [MSC 2020]
62H20 - Measures of association (correlation, canonical correlation, etc.) [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
92D30 - Epidemiology [MSC 2020]
Soggetto non controllato Bayesian methods
Bias analysis
Classification
Confounding
Epidemiology
Information bias
Master Patient Index
Measurement bias
Measurement error
Misclassification
Monte Carlo analysis
Selection bias
Sensitivity analysis
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274564
Fox, Matthew P.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
COMPSTAT : Proceedings in Computational Statistics : 7th Symposium held at Rome 1986 / F. De Antoni, N. Lauro, A. Rizzi editors
COMPSTAT : Proceedings in Computational Statistics : 7th Symposium held at Rome 1986 / F. De Antoni, N. Lauro, A. Rizzi editors
Pubbl/distr/stampa Heidelberg [etc.], : Physica-Verlag, 1986
Descrizione fisica xvi, 512 p. : ill. ; 24 cm
Soggetto topico 65-XX - Numerical analysis [MSC 2020]
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
Soggetto non controllato Algorithms
Calculus
Cluster analysis
Computer Science
Data analysis
Distribution
Econometrics
Management
Modeling
Rating
Regression analysis
Sensitivity analysis
Simulation
Statistical analysis
Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0254278
Heidelberg [etc.], : Physica-Verlag, 1986
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
COMPSTAT : Proceedings in Computational Statistics : 7th Symposium held at Rome 1986 / F. De Antoni, N. Lauro, A. Rizzi editors
COMPSTAT : Proceedings in Computational Statistics : 7th Symposium held at Rome 1986 / F. De Antoni, N. Lauro, A. Rizzi editors
Pubbl/distr/stampa Heidelberg [etc.], : Physica-Verlag, 1986
Descrizione fisica xvi, 512 p. : ill. ; 24 cm
Soggetto topico 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
Soggetto non controllato Algorithms
Calculus
Cluster analysis
Computer Science
Data analysis
Distribution
Econometrics
Management
Modeling
Rating
Regression analysis
Sensitivity analysis
Simulation
Statistical analysis
Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00254278
Heidelberg [etc.], : Physica-Verlag, 1986
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Design of Observational Studies / Paul R. Rosenbaum
Design of Observational Studies / Paul R. Rosenbaum
Autore Rosenbaum, Paul R.
Edizione [2. ed]
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xxvii, 547 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
62D20 - Causal inference from observational studies [MSC 2020]
Soggetto non controllato Analysis
Causal inference
Natural experiment
Observational study
Propensity score
Sensitivity analysis
Statistical inference
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0248983
Rosenbaum, Paul R.  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Design of Observational Studies / Paul R. Rosenbaum
Design of Observational Studies / Paul R. Rosenbaum
Autore Rosenbaum, Paul R.
Edizione [2. ed]
Pubbl/distr/stampa Cham, : Springer, 2020
Descrizione fisica xxvii, 547 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
62D20 - Causal inference from observational studies [MSC 2020]
62Kxx - Design of statistical experiments [MSC 2020]
62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020]
Soggetto non controllato Analysis
Causal inference
Natural experiment
Observational study
Propensity score
Sensitivity analysis
Statistical inference
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00248983
Rosenbaum, Paul R.  
Cham, : Springer, 2020
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Handbook of Uncertainty Quantification / Roger Ghanem, David Higdon, Houman Owhadi editors
Handbook of Uncertainty Quantification / Roger Ghanem, David Higdon, Houman Owhadi editors
Edizione [Continuously updated edition]
Pubbl/distr/stampa Cham, : Springer, 2019-
Descrizione fisica pag. varia : ill. ; 24 cm
Soggetto topico 91B05 - Risk models (general) [MSC 2020]
60-XX - Probability theory and stochastic processes [MSC 2020]
60A05 - Axioms; other general questions in probability [MSC 2020]
62-XX - Statistics [MSC 2020]
62Pxx - Applications of statistics [MSC 2020]
Soggetto non controllato Polynomial chaos
Risk Models
Risk analysis
Sensitivity analysis
Uncertainty Quantification
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0127510
Cham, : Springer, 2019-
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Handbook of Uncertainty Quantification / Roger Ghanem, David Higdon, Houman Owhadi editors
Handbook of Uncertainty Quantification / Roger Ghanem, David Higdon, Houman Owhadi editors
Edizione [Continuously updated edition]
Pubbl/distr/stampa Cham, : Springer, 2019-
Descrizione fisica pag. varia : ill. ; 24 cm
Soggetto topico 60-XX - Probability theory and stochastic processes [MSC 2020]
60A05 - Axioms; other general questions in probability [MSC 2020]
62-XX - Statistics [MSC 2020]
62Pxx - Applications of statistics [MSC 2020]
91B05 - Risk models (general) [MSC 2020]
Soggetto non controllato Polynomial chaos
Risk Models
Risk analysis
Sensitivity analysis
Uncertainty Quantification
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00127510
Cham, : Springer, 2019-
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui