Search Results - (( developing _ odes algorithm ) OR ( java application learning algorithm ))
Search alternatives:
- application learning »
- learning algorithm »
- java application »
- odes algorithm »
-
1
Approximating Non Linear Higher Order ODEs By A Three Point Block Algorithm
Published 2024journal::journal article -
2
-
3
Numerical algorithm of block method for general second order ODEs using variable step size
Published 2017“…This paper outlines an alternative algorithm for solving general second order ordinary differential equations (ODEs). …”
Get full text
Get full text
Get full text
Article -
4
Numerical algorithm of block method for general second order ODEs using variable step size
Published 2017“…This paper outlines an alternative algorithm for solving general second order ordinary differential equations (ODEs). …”
Get full text
Get full text
Get full text
Article -
5
Parallel block methods for solving higher order ordinary differential equations directly
Published 1999“…The accuracy of the parallel block and 1-point methods is comparable particularly when finer step sizes are used. A new parallel algorithm for solving systems of ODEs using variable step size and order is also developed. …”
Get full text
Get full text
Thesis -
6
ODEcal: ordinary differential equation calculator by using MATLAB-GUI
Published 2023“…It is a standalone application developed using MATLAB App Designer to solve initial value problems of Differential Equations (ODEs) numerically. …”
Get full text
Get full text
Book Section -
7
Parallel Block Methods for Solving Ordinary Differential Equations
Published 2004“…In conclusion, the new codes developed in this thesis are suitable for solving systems of first and higher order ODEs…”
Get full text
Get full text
Thesis -
8
Multivalue-multistage method for second-order ODEs
Published 2016“…The aim of this paper is to generate the needed framework to develop order conditions for second-order Ordinary Differential Equations (ODEs) by class of multivalue-multistage Nystrom method. …”
Get full text
Get full text
Conference or Workshop Item -
9
Runge-Kutta-Nystrom Methods For Solving Oscillatory Problems
Published 2010“…The performance of the PERKN algorithm for solving large system of ODEs are presented. …”
Get full text
Get full text
Thesis -
10
Solving Boundary Value Problems for Ordinary Differential Equations Using Direct Integration and Shooting Techniques
Published 1999“…In this thesis, an efficient algorithm and a code BVPDI is developed for solving Boundary Value Problems (BVPs) for Ordinary Differential Equations (ODEs). …”
Get full text
Get full text
Thesis -
11
-
12
Parallel block backward differentiation formulas for solving ordinary differential equations.
Published 2008“…A parallel block method based on Backward Differentiation Formulas (BDF) is developed for the parallel solution of stiff Ordinary Differential Equations (ODEs). …”
Get full text
Article -
13
Block backward differentiation alpha-formulas for solving stiff ordinary differential equations
Published 2017“…A new family of block methods, namely block backward differentiation alpha-formulas (BBDF-) are developed for solving first and second order stiff ordinary differential equations (ODEs) directly. …”
Get full text
Get full text
Thesis -
14
Direct Integration Block Method for Solving Higher Order Ordinary Differential Equations
Published 2010“…In this thesis, the implicit block methods presented as in the simple form of Adams Moulton method are developed for solving higher order systems of Ordinary Differential Equations (ODEs). …”
Get full text
Get full text
Thesis -
15
An effective wavelet neural network approach for solving first and second order ordinary differential equations
Published 2024“…The development of efficient numerical methods for obtaining numerical solutions of first and second order ordinary differential equations (ODEs) is of paramount importance, given the widespread utilization of ODEs as a means of characterizing the behavior in various scientific and engineering disciplines. …”
Get full text
Get full text
Get full text
Article -
16
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
17
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
Get full text
Get full text
Get full text
Thesis -
18
Adaptive step size of diagonally implicit block backward differentiation formulas for solving first and second order stiff ordinary differential equations with applications
Published 2020“…Thus, the new methods developed can be included as viable alternatives for solving first and second order stiff ODEs.…”
Get full text
Get full text
Thesis -
19
Parallel Diagonally Implicit Runge-Kutta Methods For Solving Ordinary Differential Equations
Published 2009“…Comparisons on numerical results to existing methods show a competitive efficiency when solving small systems of stiff ODEs. A parallel code is developed with the same capability of the modified sequential code to handle stiff ODEs, linear and nonlinear problems. …”
Get full text
Get full text
Thesis -
20
Family of singly diagonally implicit block backward differentiation formulas for solving stiff ordinary differential equations
Published 2021“…Numerical algorithm of the method is designed to solve the second order stiff ODEs directly. …”
Get full text
Get full text
Thesis
