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Journal of Mathematical Analysis and Applications, ISSN 0022-247X, 01/2001, Volume 253, Issue 1, pp. 290 - 296
A convex Fréchet differentiable function is minimized subject to a certain hyperplane at a point if the function is minimized in all directions which are defined by a finite set of vectors... 
convex function | quadratic programming | Fréchet differentiable | Fré | chet differentiable | Convex function; Fréchet differentiable; quadratic programming | MATHEMATICS | MATHEMATICS, APPLIED | Frechet differentiable
Journal Article
Journal Article
SIAM Journal on Optimization, ISSN 1052-6234, 2007, Volume 18, Issue 2, pp. 613 - 642
...). C, where F is a nonlinear Frechet differentiable function from R-v to R-m. When C is the set of minimum points of a convex real- valued function h on Rm and F... 
Convex composite optimization | The Gauss-Newton method | Majorizing function | Convergence | majorizing function | MATHEMATICS, APPLIED | convex composite optimization | MULTIFUNCTIONS | convergence | THEOREM | STABILITY | SYSTEMS | ERROR-BOUNDS | INVERSE | the Gauss-Newton method
Journal Article
Computational optimization and applications, ISSN 1573-2894, 2018, Volume 72, Issue 3, pp. 769 - 795
Journal Article
Mathematical programming, ISSN 1436-4646, 2019, pp. 1 - 24
.... We extend the partition of the identity into a sum of firmly nonexpansive mappings and Moreau’s decomposition of the quadratic function into envelopes and proximal mappings into the multi-marginal settings... 
Operators (mathematics) | Quadratic equations | Transport theory | Convex analysis
Journal Article
Computational Optimization and Applications, ISSN 0926-6003, 5/2019, Volume 73, Issue 1, pp. 129 - 158
Journal Article
Optimal Control Applications and Methods, ISSN 0143-2087, 09/2016, Volume 37, Issue 5, pp. 1035 - 1055
Journal Article