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adaptive methods

ADAPTIVE METHODS FOR SOLVING OPERATOR EQUATIONS BY USING FRAMES OF SUBSPACES

ADAPTIVE METHODS FOR SOLVING OPERATOR EQUATIONS BY USING FRAMES OF SUBSPACES

... an adaptive algorithm in order to give an approximate solution to the exact solution U of the equation ...analyze adaptive methods, we compare them with the best N -term ...

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A Novel Technique for Speech Processing Using
Combinational Adaptive Methods

A Novel Technique for Speech Processing Using Combinational Adaptive Methods

... of Adaptive filter with Normalized LMS Algorithm and variable step- sized Least mean square algorithm by Shadow technic In shadow filter mechanism the Low pass filter output is feedback either positively or ...

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Adaptive Methods For Determining Dbscan Parameters

Adaptive Methods For Determining Dbscan Parameters

... There are many clustering algorithms proposed, these algorithms may be classified into partitioning, hierarchical, density, model based and grid based methods [8]. The first two types are the most common. ...

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New Trends in Multiresolution and Adaptive Methods
for Convection-Dominated Problems

New Trends in Multiresolution and Adaptive Methods for Convection-Dominated Problems

... scalar conservation laws is proposed by Kr¨ oner and Ohlberger [51]. More recently, explicit and implicit finite volume solvers on adaptively refined meshes have been coupled with adjoint techniques to control the time ...

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Numerical simulations of multicomponent ecological models with adaptive methods

Numerical simulations of multicomponent ecological models with adaptive methods

... In this paper, firstly, the dynamic complexities of the ecological models consisting of prey-predator, competitive and mutualism reaction-diffusion dynamics are studied by considering their linear stability analysis in ...

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Adaptive design methods in clinical trials – a review

Adaptive design methods in clinical trials – a review

... applying adaptive design methods in clinical trials, it is suggested that the feasibility of certain adaptations such as changes in study endpoints/hypotheses be care- fully evaluated to prevent from any ...

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Adaptive Steffensen-like Methods with Memory for Solving Nonlinear Equations with the Highest Possible Efficiency Indices

Adaptive Steffensen-like Methods with Memory for Solving Nonlinear Equations with the Highest Possible Efficiency Indices

... iterative methods for ap- proximating zero(s) of a given nonlinear equation falls within this matter, and many studies have been devoted to it [9, ...two adaptive Steffensen-like methods with memory ...

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Adaptive multiresolution or adaptive mesh refinement?  
 A case study for 2D Euler equations

Adaptive multiresolution or adaptive mesh refinement? A case study for 2D Euler equations

... paper, adaptive computations of the two-dimensional compressible Euler equations for a classical Riemann problem are ...two adaptive methods: the adaptive multiresolution (MR) method and the ...

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Adaptive multiresolution methods

Adaptive multiresolution methods

... space–adaptive methods, which mostly employ explicit or semi–explicit time discretizations, is that the finest spatial grid size imposes a small time step in order to fulfill the stability criterion of the ...

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The geometry of r adaptive meshes generated using optimal transport methods

The geometry of r adaptive meshes generated using optimal transport methods

... contrast, adaptive mesh redistribution methods, or r-adaptive methods, relocate a fixed number of mesh points in an attempt to generate an optimal mesh on which to represent the solution to ...

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Adaptive numerical methods for PDEs

Adaptive numerical methods for PDEs

... Adaptive methods are an important tool for numerically solving Partial Differential Equations ...Many adaptive numerical algorithms have been suggested for both elliptic equations and time varying ...

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Fast optimization methods for image registration in adaptive radiation therapy

Fast optimization methods for image registration in adaptive radiation therapy

... multiple methods have been developed targeting the transformation model, the interpolation scheme or the ...25]. Methods include gradient descent [26, 27], Levenberg-Marquardt [28, 29], quasi-Newton [30, ...

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Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming

Two-Stage Interpolation Algorithm Based on Fuzzy Logics and Edges Features for Image Zooming

... CFLS methods blur the details and edges, but the proposed algorithm preserves ...interpolation methods were ...different methods, Figure 11 illustrates an error map of the ...

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THE DESIGN OF AN ADAPTIVE CONTENT MANAGEMENT LEARNING SYSTEM FOR CHILDREN WITH AUTISM Khaled Ismail , Nazean Jomhari

THE DESIGN OF AN ADAPTIVE CONTENT MANAGEMENT LEARNING SYSTEM FOR CHILDREN WITH AUTISM Khaled Ismail , Nazean Jomhari

... an Adaptive Content Management Learning System (ACMLS) model to assist caregivers to produce, design and fine-tune or customise the learning materials appropriately so that the system interface and the materials ...

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Adaptive grid methods for Q-tensor theory of liquid crystals : a one-dimensional feasibility study

Adaptive grid methods for Q-tensor theory of liquid crystals : a one-dimensional feasibility study

... these methods in the accurate representation of regions of high elastic distortion (defects) in novel liquid crystal display ...such methods have not yet been used for applications in liquid ...

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hp Adaptive discontinuous Galerkin methods for neutron transport criticality problems

hp Adaptive discontinuous Galerkin methods for neutron transport criticality problems

... Finally, in Figure 13 we show the final meshes generated by both the h- and hp- adaptive refinement algorithms. Here, in both cases, the meshes have been refined in the center of the KNK fast reactor geometry, ...

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hp Adaptive discontinuous Galerkin methods for bifurcation phenomena in open flows

hp Adaptive discontinuous Galerkin methods for bifurcation phenomena in open flows

... our adaptive algorithm based on employing 5 ...the adaptive meshes employed, indicating that the computed error representation formula again provides a reliable estimate for the error in the computed ...

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Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

... Many successful algorithms have been developed over the past few years to minimize regret in the online learning setting. A modern view of these algorithms casts the problem as the task of following the (regularized) ...

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Adaptive Multi-Grid Methods for Parallel CFD Applications

Adaptive Multi-Grid Methods for Parallel CFD Applications

... The solution process of the Poisson equation for the pressure correction could be considerably improved by applying a multi-grid-like solver on an adaptive domain. Future work includes further optimisation of the ...

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Integral equation analysis of complex (M)MIC-structures with optimized system matrix decomposition and novel quadrature techniques

Integral equation analysis of complex (M)MIC-structures with optimized system matrix decomposition and novel quadrature techniques

... We can observe that the topology of the (M)MIC-circuitry is completely transferred to the submatrix decomposition of Z i . As next step, we perform an adapted Cholesky decom- position of Z i using the described submatrix ...

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