local convergence
An Adaptive Time-Stepping Scheme with Local Convergence Verification Using Support Vector Machines
... conducted Local Convergence Verification and Data Generation outlined in ...the local convergence was confirmed, and 130,208 learning data sets were ...
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Local convergence of the Levenberg-Marquardt method under Hölder metric subregularity
... superlinear convergence of the sequence generated by the Levenberg–Marquardt method with the adaptive parameter ...prove local convergence for every parameter η smaller than a constant depending on ...
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Local convergence of the symmetric rank-one iteration
... a local convergence result using the concept of uniform linear independence from [5], extend that result to structured updates where part of the Jacobian can be computed exactly, and then apply those ...
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Microloop prevention by introducting a local convergence delay
... Distinguishing local node failure from remote or multiple link failure requires additional logic which is future work to fully ...delaying local convergence can be ...
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Retinal Microaneurysms Detection using Local Convergence Index Features
... A retinal image has varying thickness and foreground lighting and blood vessel contrast. For thick vessels, the contrast is higher and lower for thin vessels. Extraction of tree structure becomes more difficult due to ...
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Local convergence of random graph colorings
... The single most tantalising feature of the random graph coloring problem is the interplay between local and global effects. Locally around almost any vertex the random graph is bipartite w.h.p. In fact, for any ...
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Convergence of Halley’s method for operators with the bounded second Fréchet derivative in Banach spaces
... semi-local convergence anal- ...semi-local convergence of Halley’s method, whereas the numerical examples are presented in the concluding ...
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Search | Preprints
... The semi-local convergence of method (??) was given in [?]. It is well known that as the convergence order increases the convergence region decreases in general. To avoid this problem, we ...
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On iterative computation of fixed points and optimization
... Semi-local convergence analysis of the method (GNA) using L-average conditions is presented in Section ...semi-local convergence of the method ...
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A smoothing and regularization predictor corrector method for nonlinear inequalities
... In this paper, we present a new smoothing and regularization predictor-corrector algo- rithm to solve the nonlinear inequalities, the global and local convergence are obtained. Furthermore, the smoothing ...
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A Trust Region Algorithm Using Curve-Linear Searching Direction for Unconstrained Optimization
... “ local convergence ” , some people presented the trust region method and curve-linear searching techniques to quality the global convergence of iterative method Curve-linear searching method is a ...
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An Efficient Continued Fraction Algorithm for Nonlinear Optimization and Its Computer Implementation
... In this work, we develop a simple yet practical algorithm for solving nonlinear optimization problems by solving nonlinear equations with a good local convergence. The algorithm uses a continued fraction ...
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Robust Correlates of County Level Growth in the U S
... conditional convergence using state-level data; and with Young et ...conditional convergence within many individual ...conditional convergence is always encouraging in the limited sense that it ...
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Dynamic Self Adaptive Double Population Particle Swarm Optimization Algorithm Based on Lorenz Equation
... and local search steps of the particles can be weighed and the exploration factors can be changed to realize the local optimal algorithm, when the algorithm is in precocious ...
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Improvement of Artificial Bee Colony Algorithm Based on Self Adaptive Random Optimization Strategy
... The convergence rate was slow in the bee colony algorithm, while it was relatively faster in the particle swarm optimization algorithm, which was introduced into the initial stage for improving the algorithm for ...
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Gradient flows as a selection procedure for equilibria of nonconvex energies
... The first difficulty to notice is that the passage to higher dimensions in a simple nearest-neighbor system based on the Lennard–Jones potential suffers from a loss of λ-convexity, since the atomistic deformations do not ...
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Investigation Effects of Selection Mechanisms for Gravitational Search Algorithm
... In order to provide enough diversification in the population, a certain number of particles are selected from the population. Instead of whole population, the selected particles are used for calculating force acting on ...
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Some remarks about Mackey convergence
... In particular, we prove that: Mackey convergence and local completeness imply property K; there are spaces having K- convergent sequences that are not Mackey convergent; there exists a s[r] ...
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International convergence and local divergence
... in local production functions but for the initial stocks of capital and public ...fast convergence rates towards rather diverse steady states, emphasizing sectoral specialization and TFP di¤erences as ...
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The Mathematica Kernel Programming Codes Designed for Implementing Block Milne’s Device
... principal local truncation error of the predictor-corrector pair in absence of estimating higher derivatives of ...principal local truncation errors as ...
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