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Numerical convergence analysis of the SLP algorithm ( - section model)

Convergence analysis of the direct algorithm

Convergence analysis of the direct algorithm

... B = ∪ k B k . The objective of this paper is to study the cluster points of B. 2.2. General Constraints. Bound constraints are part of DIRECT’s sampling strat- egy, and are incorporated automatically into the ...

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Convergence analysis of an improved pagerank algorithm

Convergence analysis of an improved pagerank algorithm

... applying Algorithm 3 to a matrix QP Q T that is permutationally similar to P ...can Algorithm 3 converge faster than the power method on a suitably reordered ...

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Convergence analysis for the equilibrium problems with numerical results

Convergence analysis for the equilibrium problems with numerical results

... strong convergence theorem for approximating a common element of the set of fixed points of nonspreading mappings and a finite family of the set of solutions of the equilibrium ...strong convergence theorem ...

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An Efficient Summation Algorithm for the Accuracy, Convergence and Reproducibility of Parallel Numerical Methods

An Efficient Summation Algorithm for the Accuracy, Convergence and Reproducibility of Parallel Numerical Methods

... and convergence speed of numerical ...summation algorithm has on the accuracy of numerical methods involving ...our algorithm on several representative numerical methods by ...

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Convergence of the Key Algorithm of Traffic-Flow Analysis

Convergence of the Key Algorithm of Traffic-Flow Analysis

... traffic-flow analysis ( TFA ) 1 ] is a novel method for the performance estimation of communication ...and numerical meth- ...routing algorithm of the ...The convergence of the ...

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Convergence analysis of an iterative algorithm for monotone operators

Convergence analysis of an iterative algorithm for monotone operators

... iterative algorithm. Strong convergence of the proposed iterative algorithm has been obtained in the framework of Hilbert ...In Section , we provide some necessary pre- liminaries. In ...

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Convergence Analysis of a Mixed Controlled  Adaptive Algorithm

Convergence Analysis of a Mixed Controlled Adaptive Algorithm

... proposed algorithm is a mixture of two norms, namely, the l 2 -norm and the l p -norm (p ≥ 1), where a controlling parameter in the range [0, 1] is used to control the mixture of the two ...proposed ...

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Convergence Analysis of the African Buffalo Optimization Algorithm

Convergence Analysis of the African Buffalo Optimization Algorithm

... Keywords - African Buffalo Optimization, convergence analysis, communication topology, landscape topology, objective function. I. I NTRODUCTION The African Buffalo Optimization (ABO) is a recently-developed ...

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Numerical analysis of an osseointegration model

Numerical analysis of an osseointegration model

... remodeling model used to reproduce the phenomenon of osseointegration around endosseous ...linear convergence of the algorithm is derived under some suitable regularity conditions and tested with a ...

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Algorithm Analysis of Numerical Solutions to the Heat Equation

Algorithm Analysis of Numerical Solutions to the Heat Equation

... The numerical algorithms employed in the solution of Parabolic Partial Differential Equations are the subject of this ...stability analysis, but also absolute relative error analysis to guide ...

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Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm

Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm

... subspace algorithm which has been introduced more recently has shown good practical performance when compared with other methods on various optimization problems arising in signal and image ...theoretical ...

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The Firefly Optimization Algorithm: Convergence Analysis and Parameter Selection

The Firefly Optimization Algorithm: Convergence Analysis and Parameter Selection

... FFA) algorithm is an optimization method with these features. The algorithm is inspired by the flashing behavior of ...the algorithm, randomly generated solutions will be considered as fireflies, and ...

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Relatively Inexact Proximal Point Algorithm and Linear Convergence Analysis

Relatively Inexact Proximal Point Algorithm and Linear Convergence Analysis

... Convergence analysis, based on this new model, is simpler and compact than that of the celebrated technique of Rockafellar in which the Lipschitz continuity at 0 of the inverse of the set-valued ...

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Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems

Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems

... global convergence results, we have established that there is a subsequence of successful iterations converging to the set of stationary points X ∗ ...this section, we begin by considering the subsequence ...

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Convergence Analysis of a Proximal Point Algorithm for Minimizing Differences of Functions

Convergence Analysis of a Proximal Point Algorithm for Minimizing Differences of Functions

... point algorithm (PPA for short) was suggested by Martinet [9] for solving convex optimization problems and was extensively developed by Rockafellar [10] in the con- text of monotone variational ...Although ...

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Stability and Convergence Analysis of Smoking Impact in Society with Algorithm Aspects

Stability and Convergence Analysis of Smoking Impact in Society with Algorithm Aspects

... epidemic model employed the dynamics of drugs usage among ...mathematical model is employed to study and assess the dynamics of smoking and its impact on public health in a ...stability analysis has ...

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CONVERGENCE ANALYSIS OF THE EAPG ALGORITHM FOR NON-NEGATIVE MATRIX FACTORIZATION

CONVERGENCE ANALYSIS OF THE EAPG ALGORITHM FOR NON-NEGATIVE MATRIX FACTORIZATION

... (eAPG) algorithm was proposed to overcome the ...the convergence of the eAPG algorithm. By using a classic model, the equilibrium point is obtained and the invari- ant sets are constructed to ...

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Sequential algorithm and numerical analysis on mathematical model for thermal control curing process of thermoset composite materials

Sequential algorithm and numerical analysis on mathematical model for thermal control curing process of thermoset composite materials

... mathematical model of 2D convection-diffusion of the heat equation of thick thermoset composite during its curing process is employed for this ...some numerical approximation such as Jacobi and Gauss Seidel ...

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Numerical method for a system of integro-differential equations and convergence analysis by Taylor collocation

Numerical method for a system of integro-differential equations and convergence analysis by Taylor collocation

... in Section 2 . We will present a numerical framework for solving the system of integro-differential equations by modifying diffusion of the known method for integral equa- ...

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Convergence analysis of a variable metric forward–backward splitting algorithm with applications

Convergence analysis of a variable metric forward–backward splitting algorithm with applications

... Inspired by solving large-scale convex optimization problems arising in image process- ing, machine learning, and economic management, many efficient primal–dual splitting algorithms have been proposed for structured ...

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