Research output: Contribution to journal › Review article › peer-review
Non-smooth variational problems and applications. / Kovtunenko, Victor A.; Itou, Hiromichi; Khludnev, Alexander M. et al.
In: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, Vol. 380, No. 2236, 20210364, 14.11.2022.Research output: Contribution to journal › Review article › peer-review
}
TY - JOUR
T1 - Non-smooth variational problems and applications
AU - Kovtunenko, Victor A.
AU - Itou, Hiromichi
AU - Khludnev, Alexander M.
AU - Rudoy, Evgeny M.
N1 - Funding.The authors gratefully acknowledge the support of the Japan Society for the Promotion of Science(JSPS) and the Russian Foundation for Basic Research (RFBR) under the Japan–Russia Research CooperativeProgram (project no. JPJSBP120194824).
PY - 2022/11/14
Y1 - 2022/11/14
N2 - Mathematical methods based on the variational approach are successfully used in a broad range of applications, especially those fields that are oriented on partial differential equations. Our problem area addresses a wide class of nonlinear variational problems described by all kinds of static and evolution equations, inverse and ill-posed problems, non-smooth and non-convex optimization, and optimal control including shape and topology optimization. Within these directions, we focus but are not limited to singular and unilaterally constrained problems arising in mechanics and physics, which are governed by complex systems of generalized variational equations and inequalities. Whereas classical mathematical tools are not applicable here, we aim at a non-standard well-posedness analysis, numerical methods, asymptotic and approximation techniques including homogenization, which are successful within the primal as well as the dual variational formalism. In a broad scope, the theme issue objectives are directed toward advances that are attained in the mathematical theory of non-smooth variational problems, its physical consistency, numerical simulation and application to engineering sciences. This article is part of the theme issue 'Non-smooth variational problems and applications'.
AB - Mathematical methods based on the variational approach are successfully used in a broad range of applications, especially those fields that are oriented on partial differential equations. Our problem area addresses a wide class of nonlinear variational problems described by all kinds of static and evolution equations, inverse and ill-posed problems, non-smooth and non-convex optimization, and optimal control including shape and topology optimization. Within these directions, we focus but are not limited to singular and unilaterally constrained problems arising in mechanics and physics, which are governed by complex systems of generalized variational equations and inequalities. Whereas classical mathematical tools are not applicable here, we aim at a non-standard well-posedness analysis, numerical methods, asymptotic and approximation techniques including homogenization, which are successful within the primal as well as the dual variational formalism. In a broad scope, the theme issue objectives are directed toward advances that are attained in the mathematical theory of non-smooth variational problems, its physical consistency, numerical simulation and application to engineering sciences. This article is part of the theme issue 'Non-smooth variational problems and applications'.
KW - continuum mechanics
KW - non-smooth variational methods
KW - non-smooth variational methods
UR - http://www.scopus.com/inward/record.url?scp=85138524003&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/b168e9ed-538e-3476-99c4-86d326eb9201/
U2 - 10.1098/rsta.2021.0364
DO - 10.1098/rsta.2021.0364
M3 - Review article
C2 - 36154476
AN - SCOPUS:85138524003
VL - 380
JO - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
JF - Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
SN - 0962-8428
IS - 2236
M1 - 20210364
ER -
ID: 38049436