• No results found

Splitting Methods

Higher order operator splitting methods for an image de-noising model

Higher order operator splitting methods for an image de-noising model

... operator splitting methods such as SIM, AOS and AMOS are presented based on minimization of ROF model related with total variation ap- ...These methods successively de-noise the image until the ...

15

Qualitative behavior of splitting methods for the linear Schrödinger equation in molecular dynamics

Qualitative behavior of splitting methods for the linear Schrödinger equation in molecular dynamics

... of splitting methods to compute numerical ...by splitting methods; a specific emphasis will be put on the conservation of the space regularity of these ...

6

Accelerated normal and skew-Hermitian splitting methods for positive definite linear systems

Accelerated normal and skew-Hermitian splitting methods for positive definite linear systems

... skew-Hermitian splitting methods ...skew-Hermitian splitting meth- ods ...skew-Hermitian splitting methods (ANSS) which involve two parameters for the NSS ...

14

Forward backward resolvent splitting methods for general mixed
variational inequalities

Forward backward resolvent splitting methods for general mixed variational inequalities

... iterative-type methods for solving mixed varia- tional ...of splitting-type algorithms for various classes of variational ...of splitting and predictor- corrector type algorithms requires the ...

12

The forward–backward splitting methods for variational inequalities and minimization problems in Banach spaces

The forward–backward splitting methods for variational inequalities and minimization problems in Banach spaces

... The forward–backward method has the advantage of being easier to compute than the backward–backward method, which ensures enhanced applicability to real-life problems. Iterations have lower computational cost and can be ...

17

Numerical Solutions of a System of ODEs Based on Lie Trotter and Strang Operator splitting Methods

Numerical Solutions of a System of ODEs Based on Lie Trotter and Strang Operator splitting Methods

... exponential splitting method (or exponential Lie-Trotter splitting) and second order exponential splitting method (or exponential Strang splitting method ) for the Cauchy ...Lie-Trotter ...

5

Splitting Methods An Object-Oriented Approach

Splitting Methods An Object-Oriented Approach

... common splitting methods that were presented in literature and have gotten a wide acceptance in the oil ...constant-parameter splitting method. The improved method compared well with other ...

7

Serial and Parallel Iterative Splitting Methods: Algorithms and Applications J¨urgen Geiser a, Jose L. Huesob , Eulalia Mart´ınez b

Serial and Parallel Iterative Splitting Methods: Algorithms and Applications J¨urgen Geiser a, Jose L. Huesob , Eulalia Mart´ınez b

... Iterative splitting methods are nowadays important solver methods to solve large systems of ordinary, partial or stochastic differential equations, see [1], [3] and ...Iterative splitting ...

20

Splitting methods for treating strictly pseudocontractive and monotone operators in Hilbert spaces

Splitting methods for treating strictly pseudocontractive and monotone operators in Hilbert spaces

... B), splitting methods recently have been investigated for treating monotone operators; see [26-31] and the references ...therein. Splitting methods mean an iterative method for which each ...

17

Splitting methods and invariant imbedding for time‐independent wave propagation in focusing media and wave guides

Splitting methods and invariant imbedding for time‐independent wave propagation in focusing media and wave guides

... The splitting procedure also leads naturally to abstract transmission and reflection operators for slabs of finite thickness (a≤x≤b), and abstract invariant imbedding equations satisfied by ...

9

Systematic Improvement of Splitting Methods for the Hamilton Equations

Systematic Improvement of Splitting Methods for the Hamilton Equations

... ¿From a practical point of view the most interesting prop- erty of this formulation is that it can be interpreted directly in terms of physical processes. For instance, for Hamiltonians H(q, p) = T (p) + V (q), a ...

5

Splitting methods for time‐independent wave propagation in random media

Splitting methods for time‐independent wave propagation in random media

... Time‐independent wave propagation is treated in media where the index of refraction contains a random component, but its mean is invariant with respect to translation in some direction distinguishing the wave ...

7

The Operator Splitting Method for Black Scholes Equation

The Operator Splitting Method for Black Scholes Equation

... solver methods made it difficult to solve them ...decomposition methods or splitting methods have been introduced ...these methods is to decouple a complex equation in various simpler ...

8

New Resolution Strategy for Multi-scale Reaction Waves using
          Time Operator Splitting and Space Adaptive Multiresolution: Application to Human Ischemic
          Stroke*

New Resolution Strategy for Multi-scale Reaction Waves using Time Operator Splitting and Space Adaptive Multiresolution: Application to Human Ischemic Stroke*

... of splitting methods and demonstrate that the error of integration is given by the splitting time step even if the latter is larger than any fast scale of the problem and even if there is a loss of ...

14

Analysis of Investment Casting Components to Improve Casting Practice by Various Computational Techniques to Reduce the Causes of Defects

Analysis of Investment Casting Components to Improve Casting Practice by Various Computational Techniques to Reduce the Causes of Defects

... component-wise splitting methods and the irregular mesh technique were employed, a numerical simulation of 3D temperature field of investment castings was developed and eight practical investment castings ...

8

Modulus Based Matrix Splitting Iteration Methods for a Class of Stochastic Linear Complementarity Problem

Modulus Based Matrix Splitting Iteration Methods for a Class of Stochastic Linear Complementarity Problem

... of methods for the study of large-scale complementarity ...matrix splitting iteration ...matrix splitting iteration methods, including the corresponding multi-splitting iteration ...

10

Optimization of Oil and Gas Multi Stage Separators Pressure to Increase Stock Tank Oil

Optimization of Oil and Gas Multi Stage Separators Pressure to Increase Stock Tank Oil

... fraction splitting methods and the temperature of separators the condition with the least difference with empirical data of crude oil separator test was selected based on which the optimal pressure of ...

6

Ensembles of First Order Logical Decision Trees for Imbalanced Classification Problems

Ensembles of First Order Logical Decision Trees for Imbalanced Classification Problems

... preprocessing methods (Sampling process) method aims to balance class distribution through the random elimination of majority class examples and then Splitting decision tree algorithms generate ...

5

Splitting Maul

Splitting Maul

... Jeff Mynatt and myself did most of the groundwork and planning for the film way in advance. From the moment that I decided on shooting the Splitting Maul script, Jeff and I went to work on planning when and where ...

91

On Two Iterative Methods for Mixed Monotone Variational Inequalities

On Two Iterative Methods for Mixed Monotone Variational Inequalities

... Iterative methods play an important role in solving variational inequalities. For example, if T is a single-valued, strongly monotone i.e., Tx − Ty, x − y ≥ τx − y 2 for all x, y ∈ K and some τ > 0, and ...

10

Show all 10000 documents...

Related subjects