I: Numerical Methods (12)
GJRE: I
A New Look into the Controllability andObservability o
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 2
In this paper we establish the concept of controllability and observability of time varying dynamical systems on measure chains. we obtain a set of necessary and sufficient conditions for the controllability and observability of Lyapunov type matrix dynamical system on measure chains. ...
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Authors Goteti V.R.L. SarmaRead Journal Click Here
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Page No. 5 to 8
System Reliability Design : A Survay
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 2
In System reliability design, it is essential to know the effectiveness of different design options in improving system reliability. Various Reliability models techniques have been created to evaluate these parameters by applying both analytic and simulation techniques, and this paper reviews those related primarily to reliability optimization design problems. The purpose, type of models...
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Authors Belal AyyoubRead Journal Click Here
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Page No. 9 to 20
A SmartModel for Web Programming Agile Testing
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 2
A Model that Minimizing the number of test operations on Web Programming Exhaustive Testing is introduced. The proposed model based for the first time to the best of our knowledge, the Hebbian trained matrix algorithm. The model problem is formed as Agility WEB Programming Methodologies optimization problem. Time and web developer efforts will be reduced on white box testing type. A full...
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Authors Belal AyyoubRead Journal Click Here
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Page No. 1 to 4
P ≠NP PROOF Millennium Prize Problem Solved using the Proof of X ± Y = Bat System 1
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 1
This paper is about the proof of P ≠NP based on the limiting factor that hinders the proof of P = NP when we consider randomness in the subset sum problem algorithm presented in this paper. Randomness in this paper is referred to an act of inputting integers to the program without pattern. The paper is not about to show case the extent in which the subset problem could be ...
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Authors Martins Kolawole AlabiRead Journal Click Here
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Page No. 1 to 7
Numerical Simulation of Vertical Axis Wind Turbine at Low Speed Ratios
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 1
A renewed interest in vertical axis wind turbines (VAWT) has been seen recently, in particular at relatively low Reynolds number (Rec ≈10 5 ) appropriate to the urban applications. From this perspective, the Computational Fluid Dynamics (CFD) is regarded as a promising technique for aerodynamic studies of VAWT. The paper presents a computational investigation on a particu...
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Authors Ion Mu00c4u0192lu00c4u0192el, Horia Dumitrescu, Vladimir Cardou00c5u0178Read Journal Click Here
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Page No. 9 to 20
Comparison of Capability Analysis of Cumulative Cardiac Thoracic Ratio (CTR) Outputs
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 1
This study investigated the Capability Process Analysis of cumulative Cardiac Thoracic Ratio (CTR) during Radiological Chest Examination using MX.4 Radiological Diagnostic Machine (DRM) at the Fate Medical Foundation Radiological Department, Auchi. The data for the study are classified as raw and simulated CTR values. Statistical process control was investigated to address process stabil...
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Authors Adekeye, K.S., Shaib, I.ORead Journal Click Here
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Page No. 43 to 54
An Exponential Time Differencing Method for the Kuramoto-Sivashinsky Equation
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 1
The spectral methods offer very high spatial resolution for a wide range of nonlinear wave equations, so, for the best computational efficiency, it should be desirable to use also high order methods in time but without very strict restrictions on the step size by reason of numerical stability. In this paper we study the exponential time differencing fourthorder Runge–Kut...
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Authors Gentian ZavalaniRead Journal Click Here
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Page No. 55 to 62
Fourier Spectral Methods forNumerical Solving of the Kuramoto-Sivashinsky Equation
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 1
In this paper I presented a numerical technique for solving Kuramoto-Sivashinsky equation, based on spectral Fourier methods. This equation describes reaction diffusion problems, and the dynamics of viscous-fuid films flowing along walls. After we wrote the equation in Furie space, we get a system. In this case, the exponential time differencing methods integrate the system much more acc...
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Authors Gentian ZavalaniRead Journal Click Here
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Page No. 31 to 42
THA-A Hybrid Approach for Rule Induction System using Rough Set Theory, Genetic Algorithm and Boolean algebra
Published In: GJRE Part: I: Numerical Methods Volume: 14 Issue: 1
The major process of discovering knowledge in database is the extraction of rules from classes of data. One of the major obstacles in performing rule induction from training data set is the inconsistency of information about a problem domain. In order to deal with this problem, many theories and technology have been developed in recent years. Among them the most successful ones are decis...
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Authors Tribikram Pradhan, Harsh Anand, Akul GoyalRead Journal Click Here
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Page No. 21 to 30
Homotopy Analysis Method to Solve the Multi-order Fractional Differential Equations
Published In: GJRE Part: I: Numerical Methods Volume: 12 Issue: 1
This paper applies the homotopoy analysis method (HAM) to obtain the solution of multi-order fractional differential equation. The fractional derivative is described in Caputo sense. Some test examples have been present. ...
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Authors Dr. V.G.Gupta, Pramod KumarRead Journal Click Here
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Page No. 17 to 22
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COMPARATIVE ANALYSIS OF THRESHOLD ACCEPTANCE ALGORITHM, SIMULATED ANNEALING ALGORITHM AND GENETIC ALGORITHM FOR FUNCTION OPTIMIZATION
Published In: GJRE Part: I: Numerical Methods Volume: 12 Issue: 1
The goal of this study of threshold acceptance algorithm (TA), simulated annealing algorithm (SA) and genetic algorithm (GA) is to determine strength of Genetic Algorithm over other algorithm. It gives a clear idea of how genetic algorithm works. It gives the idea of various sub methods used in genetic algorithm to improve the results and outcome. Basically genetic algorithm and all trad...
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Authors Dr. Tejas P Patalia, Dr. G.R. KulkarniRead Journal Click Here
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Page No. 23 to 27
Quintic B-spline collocation method for sixth order boundary value problems
Published In: GJRE Part: I: Numerical Methods Volume: 12 Issue: 1
A finite element method involving collocation method with quintic B-splines as basis functions have been developed to solve sixth order boundary value problems. The sixth order and fifth order derivatives for the dependent variable are approximated by the central differences of fourth order derivatives. The basis functions are redefined into a new set of basis functions which in number m...
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Authors K.N.S.Kasi Viswanadham , Y.Showri RajuRead Journal Click Here
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Page No. 1 to 8
