Search Results - (( (variable OR variables) evaluation step algorithm ) OR ( java application testing algorithm ))
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Variable order step size method for solving orbital problems with periodic solutions
Published 2022“…In this study, a variable order step size is presented for direct solving higher-order orbital equations. …”
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Variable order step size method for solving orbital problems with periodic solutions
Published 2024journal::journal article -
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Diagonal R-point variable step variable order block method for solving second order ordinary differential equations
Published 2016“…Further implementation of the 2DBBDF and 3DBBDF methods in variable step variable order scheme displays comparable results with other variable step variable order methods. …”
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A new variable step size block backward differentiation formula for solving stiff initial value problems
Published 2013“…At the cost of an additional function evaluation, the accuracy of the method is seen to outperform some existing backward differentiation formula algorithms. …”
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Variable step size and order strategy for delay differential equations in PIE(CIE)s mode
Published 2014“…This article deals with the strategy of variable step size and variable order implementation that has been formulated for solving first order of delay differential equations. …”
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Algorithmic approaches in model selection of the air passengers flows data
Published 2015“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification
Published 2011“…Model structure selection is one of the important steps in a system identification process. Evolutionary computation (EC) is known to be an effective search and optimization method and in this paper EC is proposed as a model structure selection algorithm. …”
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Block multistep methods for solving first order retarded and neutral delay differential equations
Published 2015“…There are two strategies that have been implemented in the numerical solutions which are the variable step size and the variable step size and variable order. …”
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RSA Encryption & Decryption using JAVA
Published 2006“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Solving ordinary differential equations using block multistep method
Published 2011“…Subsequently, a variable block method is proposed to solve first and higher order IVPs of ODEs using variable step size and order strategy. …”
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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application
Published 2020“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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A Two Pressure-Velocity Approach for Immersed Boundary Methods in Three Dimensional Incompressible Flows
Published 2013“…The fractional step method is used to solve the Navier-Stokes equations in finite difference schemes. …”
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Evaluation and Comparative Analysis of Feature Extraction Methods on Image Data to increase the Accuracy of Classification Algorithms
Published 2024“…The classification algorithm used in this research is the Convolutional Neural Network (CNN) algorithm. …”
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The framework of weighted subset-hood Mamdani fuzzy rule based system rule extraction (MFRBS-WSBA) for forecasting electricity load demand
Published 2016“…Fuzzy rules are very important elements that should be taken consideration seriously when applying any fuzzy system.This paper proposes the framework of Mamdani Fuzzy Rule-based System with Weighted Subset-hood Based Algorithm (MFRBS-WSBA) in the fuzzy rule extraction for electricity load demand forecasting.The framework consist of six main steps: (1) Data Collection and Selection; (2) Preprocessing Data; (3) Variables Selection; (4) Fuzzy Model; (5) Comparison with Other FIS and (6) Performance Evaluation. …”
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A PI based coordinated maximum power point tracking controller for grid connected photovoltaic system / Md Haidar Islam
Published 2021“…The proposed algorithm enhances the steady-state and dynamic responses by introducing an improved adaptive step-size for updating variables. …”
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Comparison between Newton’s Method and a new Scaling Newton Method / Ramizah Baharuddin
Published 2021“…Many times, a rough graph is adequate, but in other cases step-by-step evaluation of the function at various points may be necessary to locate the root. …”
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Enhanced Intelligent Water Drops Algorithm for University Examination Timetabling Problems
Published 2024“…(iii) It is a constructive-based meta-heuristic algorithm which means, the solution is incrementally constructed (step by step) until the complete solution is obtained (Noferesti and Shah-Hosseini, 2012). …”
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