THE PROHOROV METRIC FRAMEWORK AND AGGREGATE DATA INVERSE PROBLEMS FOR RANDOM PDEs.

Banks, H T; Flores, K B; Rosen, I G; Rutter, E M; Sirlanci, Melike; Thompson, W Clayton

Banks, H T; Flores, K B; Rosen, I G; Rutter, E M; Sirlanci, Melike; Thompson, W Clayton.

Afiliación

Banks HT; Center for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, NC, USA.
Flores KB; Center for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, NC, USA.
Rosen IG; Department of Mathematics, University of Southern California, Los Angeles, CA, USA.
Rutter EM; Center for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, NC, USA.
Sirlanci M; Department of Mathematics, University of Southern California, Los Angeles, CA, USA.
Thompson WC; Center for Research in Scientific Computation, Department of Mathematics, North Carolina State University, Raleigh, NC, USA.

Commun Appl Anal ; 22(3): 415-446, 2018.

Article en En | MEDLINE | ID: mdl-35958041

Palabras clave

34A55; 46S50; 62G07; 93E24; aggregate data; existence and approximation of estimators; individual data; inverse problems

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: Commun Appl Anal Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google