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[PDF] Top 20 On Optimal Parameter Not Only for the SOR Method

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On Optimal Parameter Not Only for the SOR Method

On Optimal Parameter Not Only for the SOR Method

... their method can be used only for symmetric diagonally dominant ...direct method to obtain an approximate solution and then use an iterative method to improve its ...Jacobi method, the ... See full document

6

A Single Convergent Control Parameter Optimal Homotopy Asymptotic Method Approximate-Analytical Solution of Fuzzy Heat Equation

A Single Convergent Control Parameter Optimal Homotopy Asymptotic Method Approximate-Analytical Solution of Fuzzy Heat Equation

... This research has met its key objective by developing OHAM to derive an approximate-analytical solution of FPDEs, and then applying it with single convergent control parameter to obtain the solution to FHE, figure ... See full document

6

Optimization with the time-dependent Navier-Stokes equations as constraints

Optimization with the time-dependent Navier-Stokes equations as constraints

... general method based on adjoint formulation for the optimal control of distributed parameter systems and applied it to the problem of controlling vortex shedding behind a cylinder governed by the ... See full document

12

The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation

The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation

... Taguchi method and computer simulation to find the optimum factor setting for three controllable factors which are a number of welding machines, hydraulic machines, and cutting machines by analyzing the effect of ... See full document

18

Some generalizations of the new SOR like method for solving symmetric saddle point problems

Some generalizations of the new SOR like method for solving symmetric saddle point problems

... the SOR-like method and studied their convergence properties for solving prob- lem ...generalized SOR-like method, which has two parameters and is more effective than the SOR-like ... See full document

12

Decrease of the Penalty Parameter in Differentiable Penalty Function Methods

Decrease of the Penalty Parameter in Differentiable Penalty Function Methods

... penalty parameter and the ill-conditioning of the penalty method and leads to a faster convergence to the optimal ...grangian method and report some numerical results on several nonlinear ... See full document

7

Parameter Auto-tuning Method Based on Selflearning Algorithm

Parameter Auto-tuning Method Based on Selflearning Algorithm

... control parameter choice is very ...tuned parameter is difficult to insure always locating optimal status of the system by traditional tuning method of ...the parameter. The ... See full document

8

On the Homotopy Analysis Method and Optimal Value of the Convergence Control Parameter: Solution of Euler Lagrange Equation

On the Homotopy Analysis Method and Optimal Value of the Convergence Control Parameter: Solution of Euler Lagrange Equation

... analysis method to find an approximate solution of variational problems is ...An optimal value of the convergence control parameter is given through the square residual ...the optimal ... See full document

9

Determining the optimal decision delay parameter for a linear equalizer

Determining the optimal decision delay parameter for a linear equalizer

... efficient method has been presented to determine the optimal decision delay parameter that achieves the smallest bit error rate for a given linear equalizer ...proposed method calculates a ... See full document

5

Estimation of Scale () and Shape (α) Parameters of Power Function Distribution by Median Ranks Regression Method using Optimally Constructed Grouped Data

Estimation of Scale () and Shape (α) Parameters of Power Function Distribution by Median Ranks Regression Method using Optimally Constructed Grouped Data

... the optimal grouped sample and then we record some arbitrary time point after failure of the number of the test units that are to be failed in that group, but before starting the failure of a test unit in the next ... See full document

7

A general framework for shiftable position-based dual-image reversible data hiding

A general framework for shiftable position-based dual-image reversible data hiding

... s method [31], and the proposed ...specified method, whether it is [32] or the proposed ...proposed method, the optimal parameter n * can be sought adap- tively, so the performance ... See full document

10

Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques

Identification of Recurrent Neural Networks by Bayesian Interrogation Techniques

... We introduce novel online Bayesian methods for the identification of a family of noisy recurrent neural networks (RNNs). We present Bayesian active learning techniques for stimulus selection given past experiences. In ... See full document

40

Controlling User Perceptions of Linguistic Style: Trainable Generation of Personality Traits

Controlling User Perceptions of Linguistic Style: Trainable Generation of Personality Traits

... SNLG method based on parameter estimation models that estimate optimal generation parameters given target stylistic scores, which are then used directly by the base generator to produce the output ... See full document

34

Performance Analysis of a Special GPIU Method for Singular Saddle Point Problems

Performance Analysis of a Special GPIU Method for Singular Saddle Point Problems

... Uzawa) method with singular preconditioners for solving sin- gular saddle point ...GPIU method with singular preconditioners by comparing its performance with that of other existing iterative methods for ... See full document

7

MODIFIED SUCCESSIVE OVERRELAXATION (SOR) TYPE METHODS FOR M-MATRICES

MODIFIED SUCCESSIVE OVERRELAXATION (SOR) TYPE METHODS FOR M-MATRICES

... modified SOR method was first proposed by Devogelaere ...one parameter for the SOR ...(AOR) method, introduced by Hadjidimos (1978), was an improvement of Sisler’s ...the SOR ... See full document

5

Online Full Text

Online Full Text

... a method for solving nonlinear double dynamic robust parameter design using genetic algorithm (GA) and Taguchi method to get an optimal or near optimal setting of controllable ... See full document

6

A Method for Finding Optimal Parameter Values Using Bifurcation Based Procedure

A Method for Finding Optimal Parameter Values Using Bifurcation Based Procedure

... to parameter perturbation which corresponds to environmental changes or major ...obtaining optimal parameter values in a parameterized dynamical ...the optimal parameter values in both ... See full document

7

An optimal parameter extraction and crack 
		identification method for solar photovoltaic modules

An optimal parameter extraction and crack identification method for solar photovoltaic modules

... module parameter extraction process and compared with four other methods namely GA, CPSO, SA and ...of parameter extraction with double diode model and parameter dependent on temperature and ... See full document

14

Determination of Optimal ValveTiming for Internal Combustion Engines Using Parameter Estimation Method

Determination of Optimal ValveTiming for Internal Combustion Engines Using Parameter Estimation Method

... valve train and the engine management system were also developed. Extensive engine dynamometer and vehicle tests were completed to evaluate fuel economy and emissions potential of the system and finally they reported ... See full document

11

Methods for Determining the Solubility Parameter of Additives for Lubricating Oils

Methods for Determining the Solubility Parameter of Additives for Lubricating Oils

... solubility parameter by two methods for an additive KELTAN 4200 used in lubricating ...solubility parameter, it is necessary to know the intrinsic viscosities of the polymer in as many solvents with ... See full document

5

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