Results 131 to 140 of about 7,608 (193)

Qualitative analysis and numerical simulation of ABC fractional impulsive differential systems with implicit nonlinear terms and integral boundary conditions. [PDF]

PLoS One
Sharif AA, Hamood M, Ghadle KP.
europepmc   +1 more source

Three-torsion subgroups and wild conductor exponents of plane quartics. [PDF]

Res Number Theory
Lupoian E, Rawson J.
europepmc   +1 more source

Employing deep-learning techniques for the conservative-to-primitive recovery in binary neutron star simulations. [PDF]

Eur Phys J A Hadron Nucl
Mudimadugula R, Schianchi F, Neuweiler A, Wouters T, Gieg H, Dietrich T.   +5 more
europepmc   +1 more source

Vibration Analysis of Shape Memory Alloy Enhanced Multi-Layered Composite Beams with Asymmetric Material Behavior. [PDF]

Materials (Basel)
Samadi-Aghdam K, Fahimi P, Shahsavari H, Rahmatabadi D, Baghani M.   +4 more
europepmc   +1 more source

Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Health Analytics. [PDF]

JMIR Med Inform
Camirand Lemyre F, Lévesque S, Domingue MP, Herrmann K, Ethier JF.   +4 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Improvements of the Newton–Raphson method

Journal of Computational and Applied Mathematics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kim-Hung Pho
exaly   +2 more sources

Historical Development of the Newton–Raphson Method

SIAM Review, 1995
Accounts, some of which had been published previously, on the iterative algorithm called Newton's method, are assembled into a readily accessible whole, including instructive excerpts from original sources: Viète (who influenced Newton); the secant method in Newton's `Waste Book'; several letters and other writings by Newton; Raphson's book on ...
Tjalling J Ypma
exaly   +4 more sources

A modified Newton-Raphson method

Communications in Numerical Methods in Engineering, 2004
AbstractIn this paper, we propose the following modified Newton–Raphson iteration formulation: In case r=1, the obtained formulation reduces to the Newton–Raphson formulation. The present technique circumvent pitfalls of the Newton–Raphson iteration method. Some examples are illustrated. Copyright © 2004 John Wiley & Sons, Ltd.
Ji-Huan He
exaly   +2 more sources