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A p-Laplacian approximation for some mass optimization problems

Author
BOUCHITTE, G1 ; BUTTAZZO, G2 ; DE PASCALE, L3
[1] Département de Mathématiques, Université de Toulon et du Var, La Garde, France
[2] Dipartimento di Matematica, Università di Pisa, Pisa, Italy
[3] Dipartimento di Matematica Applicata, Università di Pisa, Pisa, Italy
Source

Journal of optimization theory and applications. 2003, Vol 118, Num 1, pp 1-25, 25 p ; ref : 14 ref

CODEN
JOTABN
ISSN
0022-3239
Scientific domain
Control theory, operational research; Computer science
Publisher
Springer, New York, NY
Publication country
United States
Document type
Article
Language
English
Author keyword
Monge-Kantorovich differential equation Shape optimization mass transportation problems p-Laplacian
Keyword (en)
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40D Heat transfer / 001B40D10 Heat conduction

Pascal
001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40F Solid mechanics / 001B40F30 Structural and continuum mechanics / 001B40F30C Static elasticity (thermoelasticity...)

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D01 Operational research. Management science / 001D01A Operational research and scientific management / 001D01A03 Mathematical programming

Pacs
4410 Heat conduction

Pacs
4625 Static elasticity

Discipline
Operational research. Management Physics : heat transfer Physics : solid mechanics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
15066470

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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