Results 11 to 20 of about 66,619 (234)

Fractional Newton-Raphson Method

open access: yes, 2021
The Newton-Raphson (N-R) method is useful to find the roots of a polynomial of degree n. However, this method is limited since it diverges for the case in which polynomials only have complex roots if a real initial condition is taken. In the present work,
Torres-Hernandez, A., Brambila-Paz, F.
core   +1 more source

Performance investigation of quasi-Newton-based parallel nonlinear FEM for large-deformation elastic-plastic analysis over 100 thousand degrees of freedom

open access: yesMechanical Engineering Journal, 2021
Quasi-Newton-based nonlinear finite element methods were extensively studied in the 1970s and 1980s. However, they have almost disappeared due to their poorer convergence performance than the Newton-Raphson method.
Yasunori YUSA   +2 more
doaj   +1 more source

Power system steady state calculations using artificial neural networks [PDF]

open access: yesE3S Web of Conferences, 2020
The power systems steady-state problem are described by a system of nonlinear equations, and for their solution are widely used iterative techniques such as the Newton-Raphson and others.
Khudayarov Muzaffar, Normamatov Nuriddin
doaj   +1 more source

PERBANDINGAN SOLUSI SISTEM PERSAMAAN NONLINEAR MENGGUNAKAN METODE NEWTON-RAPHSON DAN METODE JACOBIAN

open access: yesE-Jurnal Matematika, 2013
System of nonlinear equations is a collection of some nonlinear equations. The Newton-Raphson method and Jacobian method are methods used for solving systems of nonlinear equations.
NANDA NINGTYAS RAMADHANI UTAMI   +2 more
doaj   +1 more source

Accelerated Newton-Raphson GRAPE methods for optimal control

open access: yesPhysical Review Research, 2023
A Hessian-based state-to-state optimal control method in Liouville space is presented to mitigate previously undesirable polynomial scaling of Hessian computation time.
David L. Goodwin, Mads Sloth Vinding
doaj   +1 more source

Quadratically convergent algorithm for computing real root of non-linear transcendental equations

open access: yesBMC Research Notes, 2018
Objectives The present paper describes a new algorithm to find a root of non-linear transcendental equations. It is found that Regula-Falsi method always gives guaranteed result but slow convergence.
Srinivasarao Thota   +1 more
doaj   +1 more source

Vector Form Implementation in Three-Phase Power Flow Analysis Based on Power Injection Rectangular Coordinate

open access: yesJurnal Nasional Teknik Elektro, 2019
This paper aims to propose the vector form implementation into three-phase power flow analysis. The developed algorithm is based on Newton-Raphson method with voltage is represented in rectangular coordinate.
Lukmanul Hakim   +3 more
doaj   +3 more sources

Wilkinson Polynomials: Accuracy Analysis Based on Numerical Methods of the Taylor Series Derivative

open access: yesDesimal, 2020
Some of the numeric methods for solutions of non-linear equations are taken from a derivative of the Taylor series, one of which is the Newton-Raphson method. However, this is not the only method for solving cases of non-linear equations.
Vera Mandailina   +4 more
doaj   +1 more source

El Mètode de Newton-Raphson... i Simpson: una aplicació d'eines de programació per a analitzar textos matemàtics històrics [PDF]

open access: yes, 2015
The Newton-Raphson method is a well-known numerical method for finding approximations to the real roots of a real-valued function. It is named after Isaac Newton (1643-1727) and Joseph Raphson (1668-1715), who, towards the end of the 17th century ...
Blanco Abellán, Mónica
core   +1 more source

Comparative Analysis of Techniques for Solving the Hydraulics of Pressurized Irrigation Pipe Networks [PDF]

open access: yesمجلة جامعة النجاح للأبحاث العلوم الطبيعية, 1997
This study presents a comparative analysis for three techniques in analyzing the hydraulics of pressurized irrigation systems: Linear Theory, Newton Raphson, and Iterative Distal Outlet.
Numan Mizyed
doaj   +1 more source

Home - About - Disclaimer - Privacy