[PDF] Top 20 Index Terms Average Mappings, Constrained Convex
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Index Terms Average Mappings, Constrained Convex
... The following are immediately noticeable: (i) If T is nonexpansive, then is monotone; (ii) the projection mapping is a 1-ism. The inverse strongly monotone (also known as co-coercive) operators have being widely used in ... See full document
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Strong convergence of projection methods for a countable family of nonexpansive mappings and applications to constrained convex minimization problems
... the constrained convex minimization problem is well known; see, for example, [] and the references ...the constrained convex minimization problem in the consistent ... See full document
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Regularized gradient projection methods for equilibrium and constrained convex minimization problems
... In this article, based on Marino and Xu’s method, an iterative method which combines the regularized gradient-projection algorithm (RGPA) and the averaged mappings approach is proposed for finding a common solution ... See full document
22
Duality in nonlinear programming problems under fuzzy environment with exponential membership functions
... in terms of the duality principle. Introducing the concept of convex fuzzy variables for fuzzy constrained programming, Yang [21] proved a convexity theorem with convex fuzzy parameters and a ... See full document
10
Convergence theorems for equilibrium problem and asymptotically quasi-ϕ-nonexpansive mappings in the intermediate sense
... uniformly convex Banach space E and T is a self-mapping of C which is asymptotically nonexpansive in the intermediate sense, then T has a fixed point (see ...of mappings which are asymptoti- cally ... See full document
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Index Terms — Window analysis, Malmquist index, Efficiency.
... In today’s harsh competition improving production efficiency became vital. Data envelopment analysis (DEA) is a management tool which can be used in order to estimate the efficiency of number of Decision Making units ... See full document
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HARMONIC MAPPINGS RELATED TO CLOSE-TO-CONVEX FUNCTIONS OF COMPLEX ORDER b
... Moreover, let A be the class of functions in the open unit disc D that are normalized with h(0) = h ′ (0) − 1 = 0, then a function h(z) ∈ A is called convex on starlike if it maps D into a convex or ... See full document
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On coincidence theorems for a family of mappings in convex metric spaces
... of a convex metric space and as an application we shall obtain a theorem on coincidence points in metric spaces with a convex structure... First, we shall give two definitions and a prop[r] ... See full document
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The mean ergodic theorem for nonexpansive mappings in multi Banach spaces
... Abstract In this paper, we prove a mean ergodic theorem for nonexpansive mappings in multi-Banach spaces.. If X is a strictly convex Banach space, then FTj is closed and convex.[r] ... See full document
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Some remarks on lower hemicontinuity of convex multivalued mappings
... Proof. ’1 ⇒ 2’ Since X is compact and convex, as closure of a convex set, it follows by the Krein-Milman theorem that extX 6= ∅ ([4], p. 38). If extX is not a finite set, then by the Bolzano-Weierstrass ... See full document
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Iterative methods for constrained convex minimization problem in Hilbert spaces
... where f : C → R is a real valued convex function. Assume that the minimization problem (.) is consistent, and let S denote its solution set. It is known that the gradient-projection algorithm is one of the ... See full document
18
Statistics in Focus TRENDS IN THE EU AGRICULTURAL PRICE INDICES (OUTPUT AND INPUT) IN THE SECOND QUARTER OF 1996 Producer prices of agricultural products (Output) 1996 12
... Purchase prices of the means of agricultural production Input Continued rise in nominal terms +4.1%, increase in real terms +1.2% The average monthly index for the purchase prices of the[r] ... See full document
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Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization
... A particular case of the stochastic optimization problem (1) is the discrete stochastic model, where the random variable S is discrete and thus, usually the objective function is given as a finite sum of functional ... See full document
42
On the Eigenvalues Distribution of Preconditioned Block Two-by-two Matrix
... The remainder of this paper is organized as follows. In Section II, an new Schur approximation with parameter is presented and the approximate degree is studied. In Section III, an inexact Uzawa preconditioner is ... See full document
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Trends in the EU agricultural price indices (output and input) in the first quarter of 1996 1997 2
... Purchase prices of the means of agricultural production Input Continued rise in nominal terms +3.8%, increase in real terms +1.3% The average monthly index for the purchase prices of the[r] ... See full document
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An intermixed iteration for constrained convex minimization problem and split feasibility problem
... Let V : C → C be l-Lipschitz with coefficient l ≥ 0, and A : C → C a strongly positive bounded linear operator with coefficient γ and 0 < γ < γ l . Let f : C → R be a real-valued convex function and assume that ... See full document
22
The \((\alpha, \beta)\)-generalized convex contractive condition with approximate fixed point results and some consequence
... Example . Let X = R and d : X × X → R be defined by d(x, y) = |x – y| for all x, y ∈ X. Define A = [–, ], B = [, ], and T : A ∪ B → A ∪ B by Tx = – x . We will show that the mapping T is a cyclic generalized ... See full document
14
Fixed point theorems for sum of two mappings on not necessarily convex subset of a locally convex space
... closed convex and bounded subset of a Banach space E , and T : X → E, a contraction mapping and S : X → E, a compact ...two mappings T and S which satisfy the condition T x + Sy ∈ X for all x, y ∈ X ... See full document
7
ℂ convexity in infinite dimensional Banach spaces and applications to Kergin interpolation
... Our aim is to study these convexity notions in this more general setting and to show that to a large extent, the aforementioned implications remain true. The main result is Theorem 4.4, stating that C -convex ... See full document
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HARMONIC MAPPINGS RELATED TO THE CONVEX FUNCTIONS
... Abstract. The main purpose of this paper is to give the extent idea which was intro- duced by R. M. Robinson [5]. One of the interesting application of this extent idea is an investigation of the class of harmonic ... See full document
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