- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1615-3383
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Optimization Based Methods for Partially Observed Chaotic Systems ; day:25 ; month:4 ; year:2018 ; pages:1-75
Foundations of computational mathematics ; (25.4.2018), 1-75
- Klassifikation
-
Mathematik
- Urheber
-
Paulin, Daniel
- Beteiligte Personen und Organisationen
-
Jasra, Ajay
Crisan, Dan
Beskos, Alexandros
SpringerLink (Online service)
- DOI
-
10.1007/s10208-018-9388-x
- URN
-
urn:nbn:de:101:1-2018063005182471226995
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Paulin, Daniel
- Jasra, Ajay
- Crisan, Dan
- Beskos, Alexandros
- SpringerLink (Online service)
Ähnliche Objekte (12)
Analysis of observed chaotic data
Analysis of observed chaotic data
Demand analysis with partially observed prices
Predictability limit of partially observed systems
OPTIMAL CONTROLS FOR PARTIALLY OBSERVED DIFFUSION PROCESSES
Bayesian optimization for tuning chaotic systems
Data-driven reconstruction of partially observed dynamical systems
Data-driven Reconstruction of Partially Observed Dynamical Systems
Statistical properties of partially observed integrated functional depths
On partially observed jump diffusions II: the filtering density
Bayesian optimization with partially specified queries
Chaotic Time Series Prediction Using Immune Optimization Theory
Analysis of observed chaotic data
Analysis of observed chaotic data
Demand analysis with partially observed prices
Predictability limit of partially observed systems
OPTIMAL CONTROLS FOR PARTIALLY OBSERVED DIFFUSION PROCESSES
Bayesian optimization for tuning chaotic systems
Data-driven reconstruction of partially observed dynamical systems
Data-driven Reconstruction of Partially Observed Dynamical Systems
Statistical properties of partially observed integrated functional depths
On partially observed jump diffusions II: the filtering density
Bayesian optimization with partially specified queries
Chaotic Time Series Prediction Using Immune Optimization Theory
Analysis of observed chaotic data
Analysis of observed chaotic data
Demand analysis with partially observed prices
Predictability limit of partially observed systems
OPTIMAL CONTROLS FOR PARTIALLY OBSERVED DIFFUSION PROCESSES
Bayesian optimization for tuning chaotic systems
Data-driven reconstruction of partially observed dynamical systems
Data-driven Reconstruction of Partially Observed Dynamical Systems
Statistical properties of partially observed integrated functional depths
On partially observed jump diffusions II: the filtering density
Bayesian optimization with partially specified queries