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On Convexity of Cooperative Games (Nonlinear Analysis and Convex Analysis)

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Convex multiresolution analysis

Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96), 1998
A standard wavelet multiresolution analysis can be defined via a sequence of projection operators onto a monotone sequence of closed vector subspaces possessing suitable invariance properties. We propose an extension of this framework in which the linear projection operators are replaced by nonlinear retractions onto convex sets.
P.L. Combettes, J.-C. Pesquet
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Local convex analysis

Journal of Soviet Mathematics, 1984
Translation from Itogi Nauki Tekh., Ser. Sovrem. Probl. Mat. 19, 155-206 (Russian) (1982; Zbl 0516.46026).
Kusraev, A. G., Kutateladze, S. S.
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Convex Analysis

1995
This chapter discusses the elements of convex analysis which are very important in the study of optimization problems. In section 2.1 the fundamentals of convex sets are discussed. In section 2.2 the subject of convex and concave functions is presented, while in section 2.3 generalizations of convex and concave functions are outlined.
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Analysis of Matrix-Convex Functions

Cybernetics and Systems Analysis, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Amirgalieva, S. N.   +2 more
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Strongly convex analysis

Sbornik: Mathematics, 1996
Summary: Properties of strongly convex sets (that is, of sets that can be represented as intersections of balls of radius fixed for each particular set) are investigated. A connection between strongly convex sets and strongly convex functions is established.
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Convex Functionals on Convex Sets and Convex Analysis

1985
Over the last 20 years, parallel to the theory of monotone operators, a calculus for the investigation of convex functionals designated by convex analysis has emerged, which allows one to solve a number of problems in a simple way. To this calculus belong: (α) The subgradient ∂F (a generalization of the classical concept of derivative).
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Preliminaries: Convex Analysis and Convex Programming

2001
In this chapter, we give some definitions and results connected with convex analysis, convex programming, and Lagrangian duality. In Part Two, these concepts and results are utilized in developing suitable optimality conditions and numerical methods for solving some convex problems.
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Convex Analysis

2022
Indu Solomon, Uttam Kumar
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Convex Analysis

2021
Vladimir A. Bushenkov, Georgi V. Smirnov
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