Results 31 to 40 of about 97,762 (292)
Disguised and new quasi-Newton methods for nonlinear eigenvalue problems [PDF]
, 2017 In this paper, we take a quasi-Newton approach to nonlinear eigenvalue problems (NEPs) of the type M(λ)v = 0, where (Formula presented.) is a holomorphic function.
A. Koskela +8 more
core +1 more source
Quasi-Newton Methods for Solving Nonlinear Programming Problems [PDF]
Computer Science Journal of Moldova, 1996 In the present paper the problem of constrained equality optimization is reduced to sequential solving a series of problems of quadratic programming. The Hessian of the Lagrangian is approximated by a sequence of symmetric positive definite matrices. The
V.Moraru
doaj
Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Mathematics, 2022 In this paper, we follow a chronological development of gradient descent methods and its accelerated variants later on. We specifically emphasise some contemporary approaches within this research field. Accordingly, a constructive overview over the class
Vladimir Rakočević +1 more
doaj +1 more source
Quasi-Newton methods with provable efficiency guarantees
, 2022 Quasi-Newton methods are very popular in Optimization. They have a long, rich history, and perform extremely well for solving real-life problems. However, almost nothing is known about theoretical efficiency guarantees for these methods. The goal of this
Rodomanov, Anton
core
Advanced Science, EarlyView.A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao +3 more
wiley +1 more source
SMOOTH QUASI-NEWTON METHODS FOR NONSMOOTH OPTIMIZATION [PDF]
, 2018 The success of Newton’s method for smooth optimization, when Hessians are available, motivated the idea of quasi-Newton methods, which approximate Hessians in response to changes in gradients and result in superlinear convergence on smooth functions ...
Guo, Jiayi
core +1 more source
Advanced Science, EarlyView.To explore the impact of nanosizing on pesticide biointeractions, a 7‐nm (average) emamectin benzoate nanopesticide without nanocarriers or surfactants is fabricated via HOAc‐mediated disaggregation. Nanosizing enhances bioactivity against Megalurothrips usitatus and Meloidogyne enterolobii and improves plant penetration.
Jiaqi Wei +11 more
wiley +1 more source
Quasi-Newton’s method for multiobjective optimization
Journal of Computational and Applied Mathematics, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Quasi-Newton methods for machine learning: forget the past, just sample
, 2021 We present two sampled quasi-Newton methods (sampled LBFGS and sampled LSR1) for solving empirical risk minimization problems that arise in machine learning.
A. S. Berahas (11586001) +3 more
core +1 more source