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Cryptographic Algorithm Using Matrix Inversion as Data Protection
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Solving transcendental equation using genetic algorithm / Masitah Hambari
Published 2004“…Genetic Algorithm is used to find the roots or set of optimal solution that satisfy the equation. …”
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Genetic algorithm techniques for the design of nonlinear microwave circuits
Published 2004“…By using Sample Balance's differential of current linear and nonlinear equation as an objective function, a Genetic Algorithm routine then been constructed. …”
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Application of refinement successive over-relaxation (RSOR) in solving the piecewise polynomial on fredholm integral equation of the second type
Published 2023“…Accordingly, we built a system of CT linear collocation approximation equations using collocation node points over the approximation equation for linear collocation. …”
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Algorithm solution for space-fractional diffusion equations
Published 2020“…By using the Caputo's finite difference approximation equation, a linear system will be generated and solved iteratively. …”
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Numerical solutions of linear fredholm integro-differential equations of the second kind using quadrature-difference methods
Published 2016“…The system of linear algebraic equation will be solved by using Gauss elimination method. …”
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Weather prediction in Kota Kinabalu using linear regressions with multiple variables
Published 2021“…This study employs machine learning algorithms, a linear regression model using statistics, and two optimization approaches, the normal equation approach, and gradient descent approach to predict the weather based on a few variables. …”
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A new stepsize for gradient method via weak secant equation
Published 2007“…The resulting algorithm belongs to the same class of gradient methods with linear convergence property. …”
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An Algorithmic Approach for Stability of an Autonomous System
Published 2002“…L2. Eigenvalues of the linear system are computed. These values are obtained from the characteristic equation IA - All = 0 , where A. is an eigenvalue and F or the nonlinear system, linearization process around the critical points are carried out. …”
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Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm
Published 2018“…The main goal of this research work is to propose the novel practical models to predict the BI through particle swarm optimization (PSO) and imperialism competitive algorithm (ICA). For this aim, two forms of equations, i.e., linear and power are considered and the weights of these equations are optimized by PSO and ICA. …”
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Quarter-sweep preconditioned relaxation method, algorithm and efficiency analysis for fractional mathematical equation
Published 2021“…The paper presents the formulation of the quarter-sweep finite difference scheme that is used to approximate the selected fractional mathematical equation. …”
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Forex trading prediction using linear regression line, artificial neural network and dynamic time warping algorithms
Published 2013“…Forex prediction has become a challenging task in the Forex market since the late 1970s due to uncertainty movement of exchange rates.In this paper, we utilised linear regression equation to analyse the historical data and discover the trends patterns in Forex.These trends patterns are modeled and learned by Artificial Neural Network algorithm, and Dynamic Time Warping algorithm is used to predict the near future trends.Our experiment result shows a satisfactory result using the proposed approach.…”
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Approximating Non Linear Higher Order ODEs By A Three Point Block Algorithm
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Numerical solution of second order linear two-point boundry value problem using direct multistep method
Published 2012“…These methods are then used together with linear shooting technique in solving second order linear two-point boundary value problems using constant step size. …”
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Partial Newton methods for a system of equations
Published 2013“…To apply a partial Newton method to a system of nonlinear equations we need a line search to ensure that the linearized equations are valid approximations of the nonlinear equations. …”
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