top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Inaugural Section Special Issue : Key Topics and Future Perspectives in Natural Hazards Research
Inaugural Section Special Issue : Key Topics and Future Perspectives in Natural Hazards Research
Autore Tapete Deodato
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (226 p.)
Soggetto topico Research & information: general
Soggetto non controllato big data
disaster management
review
natural hazards
disaster
scientometrics
bibliometrics
citation analysis
NatCatSERVICE
Sigma Explorer
Oroville Dam
spillway
incident
flood control
flood-frequency analysis
dam operation
drought
impacts
exposure
vulnerability
risk
policy
risk assessment
earthquake risk
energy security
reliability of power supply
Eurasian Economic Union (EAEU)
integration process
common electricity market
masonry aggregates
vulnerability assessment
vulnerability curves
damage scenarios
local hazard effect
psychological representation of earthquakes
open-ended and closed-questions surveys
children
seismic hazard assessment
emotions
emotional prevention
African easterly wave
attractor coexistence
chaos
hurricane
limit cycle
Lorenz model
predictability
recurrence
extended range weather prediction
Jakarta basin
site effects
shear-wave velocity
urban fabrics
seismic vulnerability
critic analysis
cost modelling
urban preservation programming
building works programming
natural hazard
earthquake
dam spillway
psychology
cyber-infrastructure
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Inaugural Section Special Issue
Record Nr. UNINA-9910557135403321
Tapete Deodato  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich
Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich
Autore Ballreich, Dominik
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica xvii, 160 p. : ill. ; 24 cm
Soggetto topico 65-XX - Numerical analysis [MSC 2020]
65D30 - Numerical integration [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
Soggetto non controllato Cubature Kalman filter
Deterministic numerical integration
Filtering in dynamical systems
Ginzburg-Landau model
Kalman Filter
Lorenz model
Maximum likelihood estimation
Numerical integration
Optimization and stabilization of cubature rules
Recursive Bayesian estimation
Six-dimentional coordinated turn model
Smolyak cubature
Smolyak cubature rules with an approximate degree of exactness
State-space models
Univariate non-stationary growth model
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN0123799
Ballreich, Dominik  
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich
Stable and Efficient Cubature-based Filtering in Dynamical Systems / Dominik Ballreich
Autore Ballreich, Dominik
Pubbl/distr/stampa Cham, : Springer, 2017
Descrizione fisica xvii, 160 p. : ill. ; 24 cm
Soggetto topico 62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62F15 - Bayesian inference [MSC 2020]
65-XX - Numerical analysis [MSC 2020]
65D30 - Numerical integration [MSC 2020]
Soggetto non controllato Cubature Kalman filter
Deterministic numerical integration
Filtering in dynamical systems
Ginzburg-Landau model
Kalman Filter
Lorenz model
Maximum likelihood estimation
Numerical integration
Optimization and stabilization of cubature rules
Recursive Bayesian estimation
Six-dimentional coordinated turn model
Smolyak cubature
Smolyak cubature rules with an approximate degree of exactness
State-space models
Univariate non-stationary growth model
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Titolo uniforme
Record Nr. UNICAMPANIA-VAN00123799
Ballreich, Dominik  
Cham, : Springer, 2017
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui