[PDF] Top 20 As vantagens da segurança do trabalho na industria da construção civil
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Iterative method for convex optimization problems in real Lebesgue spaces
... In recent times, this type of functional has been studied extensively by many authors including Alber [1], Alber and Guerre-Delabriere [2], Kamimura and Takahashi [10], Reich [13]. It has proved to be a very useful tool ... See full document
17
Descent methods for convex optimization problems in Banach spaces
... In this section, we establish several results which will be used for construction and sub- stantiation of an iterative solution method for problem (2.6). Recall that, on account of Proposition 2.2, this ... See full document
6
General Iterative Method for Convex Feasibility Problem via the Hierarchical Generalized Variational Inequality Problems
... Many problems in mathematics, for example in physical sciences, in engineering and in real-world applications of various technological innovations can be modeled as ...Hilbert spaces which captures ... See full document
96
A General Iterative Method for Equilibrium Problems and Fixed Point Problems in Hilbert Spaces
... Let H be a real Hilbert space and let C be nonempty closed convex subset of H. Recall that a mapping S of C into itself is called nonexpansive if Sx − Sy ≤ x − y for all x , y ∈ C . We denote by F ( S ) the ... See full document
12
General viscosity iterative approximation for solving unconstrained convex optimization problems
... operator and propose a generalized viscosity approximation method for solving the unconstrained convex optimization problems in a real Hilbert space H. We show that, under reasonable ... See full document
5
Convergence analysis of a variable metric forward–backward splitting algorithm with applications
... in real Hilbert ...proposed iterative algorithm to solve three typical optimization problems including the variational inequal- ities problem, constrained convex minimization problem, ... See full document
158
On Boundedness of Weighted Hardy Operator in and Regularity Condition
... in Lebesgue spaces with variable exponent, as well as the investigation of problems of regularity of nonlinear equations with nonstandard growth condition have become of late the arena of an ... See full document
193
Geometrically Constructed Families of Newton's Method for Unconstrained Optimization and Nonlinear Equations
... of iterative methods have been developed for finding out the solution of single variable nonlinear equations as well for the solution of a system of nonlinear ... See full document
80
Iterative Approximation to Convex Feasibility Problems in Banach Space
... a real Banach space, E ∗ is the dual space of E, C is a nonempty closed convex subset of E, F(T) is the set of fixed points of map- ping T , · , · is the generalized duality pairing between E and E ∗ , and ... See full document
192
Filter Design Problems with Convex Optimization
... The function 1 / α − R ( ) ω can be verified to be conver in the variables (r, α ) (since α > 0 ). Indeed, when sampled this problem can be very efficiently solved as a second-order come program (SOCP). The passband ... See full document
23
Beampattern Synthesis with Linear Matrix Inequalities Using Minimal Array Sensors
... proposed method are that the minimum number of array sensors for beampattern designs is computed in a systematic way via bisection and the number of iterations before it stops, is ...proposed method, only 5 ... See full document
140
A strong convergence theorem for equilibrium problems and split feasibility problems in Hilbert spaces
... feasibility problems, the purpose of this article is to introduce an iterative algorithm for equilibrium problems and split feasibility problems in Hilbert ...equilibrium problems and ... See full document
107
A general composite iterative method for generalized mixed equilibrium problems, variational inequality problems and optimization problems
... (1) Theorem 3.1, Corollary 3.2, Corollary 3.3, and Corollary 3.4 improve and develop the corresponding results, which were obtained recently by many authors in various references, for example, see [2,3,7-9,11-18,24,30]. ... See full document
115
New strong convergence theorems for split variational inclusion problems in Hilbert spaces
... descent-conjugate gradient algorithm for the split variational inclusion problems in Hilbert spaces. Next, a strong convergence theorem of the proposed algorithm is proved under suitable conditions. As an ... See full document
364
An Iterative Shrinking Generalized -Projection Method for -Quasi-strict Pseudo-contractions in Banach Spaces
... uniformly convex and uniformly smooth Banach spaces and studied their properties in ...uniformly convex and uniformly smooth Banach spaces to reflexive Banach spaces, and established a ... See full document
113
Iterative algorithms with regularization for hierarchical variational inequality problems and convex minimization problems
... an iterative algorithm with regularization to solve such a variational inequality problem and study the strong convergence of the sequence generated by the proposed ... See full document
20
The well posedness for a system of generalized quasi variational inclusion problems
... Motivated and inspired by research work mentioned above, in this paper, we study the LP and Hadamard well-posedness for the system of generalized quasi-variational inclu- sion problems. This paper is organized as ... See full document
15
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 ... See full document
257
A new monotone hybrid algorithm for a convex feasibiliy problem for an infinite family of nonexpansive-type maps, with applications
... a real normed space E to its dual space E ∗ has very recently been introduced and studied (see Chidume and Idu [12], Liu [24], Zegeye ...and convex minimization problems, the reader is referred to ... See full document
112
Weak convergence of explicit extragradient algorithms for solving equilibirum problems
... point method (shortly, PPM) [21] and the other one is an auxiliary problem principle ...inequality problems, and later it was continued by Rockafellar [24] for monotone ...PPM method is implemented ... See full document
157
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