Results 61 to 70 of about 1,099,998 (291)

From Folding Mechanics to Robotic Function: A Unified Modeling Framework for Compliant Origami

open access: yesAdvanced Science, EarlyView.
A geometry‐consistent DDG framework captures compliant origami deformation from rigid‐like folding to soft panel bending. By tuning crease and panel stiffness, bistable snap‐through responses transform into smooth monostable deformation, enabling programmable stability and robot‐scale locomotion.
Bohan Zhang   +7 more
wiley   +1 more source

ROBUST QUASI-NEWTON EQUATIONS IN QUASI-NEWTON METHOD FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS

open access: yesBarekeng
Quasi-Newton methods are among the most widely used and effective general-purpose algorithms for unconstrained optimization. These methods traditionally rely on the quasi-Newton equation, which serves as the foundation for updating approximations of the
Basim A. Hassan, Manal I. Mohammed
doaj   +1 more source

A Modified Broyden Algorithm

open access: yesJournal of Harbin University of Science and Technology, 2017
A Modified Broyden algorithm is presented to solve nonlinear equations in this paper. The convergence of the new algorithml is proved. The convergent order and effectiveness of improved Broyden method can be verified by numerical experiments. Through ...
LI Fu-xiang, HUANG Jia-yue
doaj   +1 more source

Quasi-Newton methods for machine learning: forget the past, just sample [PDF]

open access: yesOptim. Methods Softw., 2019
We present two sampled quasi-Newton methods (sampled LBFGS and sampled LSR1) for solving empirical risk minimization problems that arise in machine learning.
A. Berahas   +3 more
semanticscholar   +1 more source

Active Oscillations of Elastic Membranes Arising from the Coupling with a Catalytic Reaction

open access: yesAdvanced Science, EarlyView.
Coupling an elastic membrane to a catalytic reaction produces active oscillations that self‐sustain for hours: the membrane cyclically inflates and deflates as the reaction spontaneously activates and deactivates, without external power. Energy release is directly embodied in the oscillation dynamics, opening elasto‐chemical strategies for the physical
Alberto Comoretto   +5 more
wiley   +1 more source

Improved Diagonal Hessian Approximations for Large-Scale Unconstrained Optimization

open access: yesSultan Qaboos University Journal for Science
We consider some diagonal quasi-Newton methods for solving large-scale unconstrained optimization problems. A simple and effective approach for diagonal quasi-Newton algorithms is presented by proposing new updates of diagonal entries of the Hessian ...
Ahmed Al-Siyabi
doaj   +1 more source

Partitioned Quasi-Newton Approximation for Direct Collocation Methods and Its Application to the Fuel-Optimal Control of a Diesel Engine

open access: yesJournal of Applied Mathematics, 2014
The numerical solution of optimal control problems by direct collocation is a widely used approach. Quasi-Newton approximations of the Hessian of the Lagrangian of the resulting nonlinear program are also common practice.
Jonas Asprion   +2 more
doaj   +1 more source

Multi-Constrained Seismic Multi-Parameter Full Waveform Inversion Based on Projected Quasi-Newton Algorithm

open access: yesRemote Sensing, 2023
The multi-parameter full waveform inversion (FWI) that integrates velocity and density can make full use of the kinematic and dynamic information of the measured data to reconstruct the underground model.
Deshan Feng   +5 more
doaj   +1 more source

Habitat‐Specific Design Strategies for Untethered Soft Robots

open access: yesAdvanced Science, EarlyView.
Habitat shapes the design of untethered soft robots. Across land, water, air, and living tissues, environmental constraints govern viable combinations of compliant structures, actuation mechanisms, and energy delivery. This review connects these constraints with robotic performance and identifies design principles for advancing adaptable, durable, and ...
Siyang Li   +3 more
wiley   +1 more source

IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate [PDF]

open access: yesSIAM Journal on Optimization, 2017
The problem of minimizing an objective that can be written as the sum of a set of $n$ smooth and strongly convex functions is considered. The Incremental Quasi-Newton (IQN) method proposed here belongs to the family of stochastic and incremental methods ...
Aryan Mokhtari   +2 more
semanticscholar   +1 more source

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