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Iterative Algorithms

Strong convergence of iterative algorithms for the split equality problem

Strong convergence of iterative algorithms for the split equality problem

... RACQA algorithms; and we prove the strong con- vergence of the algorithm, more importantly, its limit is the minimum-norm solution of SEP ...KM-CQ-like iterative algorithm which converges strongly to a ...

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A VLSI design concept for parallel iterative algorithms

A VLSI design concept for parallel iterative algorithms

... parallel iterative algorithms di- rectly which was almost impossible 10 years ...for iterative algorithms and present design strate- gies from an algorithmic and architectural point of ...an ...

6

Iterative Algorithms for Computing the Takagi Factorization of Complex Symmetric Matrices

Iterative Algorithms for Computing the Takagi Factorization of Complex Symmetric Matrices

... establish iterative algorithms for computing the Takagi factorization of complex symmetric ...classical iterative algorithms of computing the eigenpairs of real symmetric matrices, we derive ...

9

Iterative Algorithms with Variable Coefficients for Asymptotically Strict Pseudocontractions

Iterative Algorithms with Variable Coefficients for Asymptotically Strict Pseudocontractions

... It is our purpose in this paper to try to obtain some new fixed point theorems for asymptotically strict pseudocontractions without the boundedness conditions as in Theorem B. Motivated by Nakajo and Takahashi 2, ...

8

Regularized hybrid iterative algorithms for triple hierarchical variational inequalities

Regularized hybrid iterative algorithms for triple hierarchical variational inequalities

... Recently, Iiduka [, ] considered a variational inequality with a variational inequal- ity constraint over the set of fixed points of a nonexpansive mapping. Since this problem has a triple structure in contrast with ...

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Multi Criteria Decision Making Technique For Machine Learning Algorithms: Iterative And   Non-Iterative Algorithms

Multi Criteria Decision Making Technique For Machine Learning Algorithms: Iterative And Non-Iterative Algorithms

... learning algorithms that are iterative and non-iterative are compared and the best algorithm is decided using Multi Criteria Decision Making (MCDM) technique like ...TOPSIS. Iterative ...

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Iterative Algorithms for Nonexpansive Mappings

Iterative Algorithms for Nonexpansive Mappings

... tive algorithms for approximating fixed points of a nonexpansive mapping T ...proposed iterative algorithms converge strongly to a fixed point of T under some mild ...

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Degree of Convergence of Iterative Algorithms for Boundedly Lipschitzian Strong Pseudocontractions

Degree of Convergence of Iterative Algorithms for Boundedly Lipschitzian Strong Pseudocontractions

... Three iterative algorithms are proposed for approximating the unique fixed point of T; one of them is for the self- mapping case, and the others are for the nonself-mapping ...three iterative ...

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Alternate Iterative Algorithms for Minimization of Non-linear Functions

Alternate Iterative Algorithms for Minimization of Non-linear Functions

... Optimization algorithms presents the most effective methods in continuous ...alternative iterative algorithms, with different order of convergence for minimization of non-linear ...proposed ...

9

Iterative algorithms for finding the zeroes of sums of operators

Iterative algorithms for finding the zeroes of sums of operators

... the algorithms are largely dependent on the maximal monotonicity of A and ...some algorithms for finding a zero of the sum of A and B which ignore the conditions of the maximal monotonicity of A and ...

16

Iterative algorithms with errors for zero points of m-accretive operators

Iterative algorithms with errors for zero points of m-accretive operators

... In this paper, we study the convergence of paths for continuous pseudocontractions in a real Banach space by viscosity approximation methods. As applications, we consider the problem of finding zeros of m-accretive ...

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Convergence and weaker control conditions for hybrid iterative algorithms

Convergence and weaker control conditions for hybrid iterative algorithms

... their iterative algorithm to a common fixed point of an infinite family of nonexpansive mappings, which solves a variational ...their iterative algorithm involving an infinite family of nonexpansive ...

14

Convergence of iterative algorithms for a generalized variational inequality and a nonexpansive mapping

Convergence of iterative algorithms for a generalized variational inequality and a nonexpansive mapping

... Abstract. In this paper, fixed point problems of nonexpansive mappings and solution problems of generalized variational inequalities are investigated based on a viscosity approximate iterative algorithm. Strong ...

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Hybrid iterative algorithms for nonexpansive and nonspreading mappings in Hilbert spaces

Hybrid iterative algorithms for nonexpansive and nonspreading mappings in Hilbert spaces

... Recently, Iemoto and Takahashi considered a weak convergence iterative scheme for a nonspreading mapping and a nonexpansive mapping in Hilbert spaces.. In this paper, we suggest two hybr[r] ...

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Viscosity iterative algorithms for variational inequality

Viscosity iterative algorithms for variational inequality

... Zhou, Strong convergence of a general iterative method for variational inequality problems and fixed point problems in Hilbert spaces, Appl.. Yao, On modified iterative method for nonexp[r] ...

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On some Mann’s type iterative algorithms

On some Mann’s type iterative algorithms

... In the next section we see that the proof of all these results can be obtained by a very general two-step iterative algorithm. In the last section we give the proof of our main theorem and compare the rate of ...

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Some results on parallel iterative algorithms for strictly pseudocontractive mappings

Some results on parallel iterative algorithms for strictly pseudocontractive mappings

... In , Acedo and Xu proposed a parallel iterative algorithm for strictly pseudocon- tractive mappings in the framework of Hilbert spaces. Weak and strong convergence the- orems for common fixed points of a family ...

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General Object-oriented Framework for Iterative Optimization Algorithms

General Object-oriented Framework for Iterative Optimization Algorithms

... of iterative algo- rithms, it is always necessary to devote a certain amount of time and effort to write the program code that is not directly associated to the actual problem solving, but is common to all ...

7

Review on Analytical and Iterative Reconstruction Algorithms for Computerized Tomography

Review on Analytical and Iterative Reconstruction Algorithms for Computerized Tomography

... To Iterative algorithms has several advantages than the analytical ...multiple iterative steps, allows to obtain a better reconstruction at higher computational ...time. Iterative ...

5

Cyclic-by-row approximation of iterative polynomial EVD algorithms

Cyclic-by-row approximation of iterative polynomial EVD algorithms

... To calculate the PEVD, a number of iterative algorithms have been developed. The second order sequential best rotation (SBR2) algorithm [3] is a generalisation of the Jacobi method whereby in every step the ...

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