Results 21 to 30 of about 7,608 (193)

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

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

A variant of Newton–Raphson method with third‐order convergence for energy flow calculation of the integrated electric power and natural gas system

open access: yesIET Generation, Transmission & Distribution, 2022
The energy flow calculation of the integrated electric power and natural gas system (IEGS) is generally tackled by the classical Newton–Raphson (NR) method with second‐order convergence.
J.H. Zheng   +4 more
doaj   +1 more source

Solution for Forward Kinematics of Parallel Mechanism based on PSO-BPNN and Newton-Raphson Algorithm

open access: yesJixie chuandong, 2021
Taking parallel mechanism as a research object, aiming at the problem that neural network algorithm is easy to fall into local optimization and the Newton-Raphson algorithm is sensitive to the initial value of iteration when solving forward kinematics, a
Qiguo Hu   +3 more
doaj  

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

Perbandingan Tingkat Kecepatan Konvergensi dari Metode Newton Raphson dan Metode Secant Setelah Mengaplikasikan Metode Aiken’s dalam Perhitungan Akar Pangkat Tiga

open access: yesJurnal Matematika Integratif, 2017
Persamaan nonlinier merupakan salah satu kajian dalam ilmu matematika. Pencarian akar dalam persamaan non linier yang rumit dapat diselesaikan dengan metode numerik. Banyak metode untuk menyelesaikan persamaan tersebut.
Elis Ratna Wulan   +2 more
doaj   +1 more source

On the Proper Treatment of Dynamics in Cognitive Science

open access: yesTopics in Cognitive Science, EarlyView., 2023
Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley   +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

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

On the Newton-Raphson method of Approximation [PDF]

open access: yesEdinburgh Mathematical Notes, 1944
The Method.—An equation F(x) = 0 has, a root x = r, not known exactly. From a first approximation to r, x = a, a second approximation, x = b, is obtained from the formulaFrom b a third approximation, x = c, is obtained by the same formula, and so on. The method is pointless unless the successive approximations do actually tend to r; a rule that ensures
openaire   +2 more sources

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