Results 91 to 100 of about 98,087 (266)
NEWI'ON'S METHOD be derived quite naturally from Newton's method. Newton's Method
, 2020 Newton's method plays a central role in the development of numerical techniques for optimization. In fact, most of the current practical methods for optimization can be viewed as variations on Newton's method.
Jorge J Mord +3 more
core
A New Newton Method with Memory for Solving Nonlinear Equations
, 2020 A new Newton method with memory is proposed by using a variable self-accelerating parameter. Firstly, a modified Newton method without memory with invariant parameter is constructed for solving nonlinear equations. Substituting the invariant parameter of
Yuxi Tao, Xiaofeng Wang
core +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.An electromagnetic manipulation system enhances magnetic field strength in the Z‐direction for 3D control of microrobots and nanoparticles. Featuring eight metal‐core coils and two air‐core coils arranged hemispherically, it ensures unimpeded workspace access and integrates imaging tools.
Nader Latifi Gharamaleki +4 more
wiley +1 more source
Autofocusing of Maneuvering Targets in Terahertz Inverse Synthetic Aperture Radar Imaging Based on Damped Newton Method. [PDF]
Sensors (Basel), 2022 Wang H, Yang Q, Wang H, Deng B.
europepmc +1 more source
The reading of Newton in the early eighteenth century : Tories and Newtonianism [PDF]
, 2004 This dissertation examines Tory High-Church and Jacobite Episcopalian responses to Newton in early eighteenth century England and Scotland, providing a systematic analysis of the relationship between Newtonian natural philosophy, politics and religion ...
Friesen, John Paul
core
Advanced Intelligent Systems, EarlyView.This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +1 more source
Minimizing Uniformly Convex Functions by Cubic Regularization of Newton Method. [PDF]
J Optim Theory Appl, 2021 Doikov N, Nesterov Y.
europepmc +1 more source
Equilibrium Propagation for Dissipative Dynamics
Advanced Intelligent Systems, EarlyView.This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley +1 more source
Cluster Gauss-Newton method analyses of PBPK model parameter combinations of coproporphyrin-I based on OATP1B-mediated rifampicin interaction studies. [PDF]
CPT Pharmacometrics Syst Pharmacol, 2022 Yoshikado T +6 more
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Advanced Intelligent Systems, EarlyView.Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source