Results 51 to 60 of about 19,980 (297)
Tensor methods for large, sparse unconstrained optimization [PDF]
, 1996 Tensor methods for unconstrained optimization were first introduced by Schnabel and Chow [SIAM J. Optimization, 1 (1991), pp. 293-315], who describe these methods for small to moderate size problems.
Bouaricha, A.
core +1 more source
Augmented Lagrangian Method for Finding Minimum Norm Solution to the Absolute Value Equation [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2017 In this paper, we give an algorithm to compute the minimum 1-norm solution to the absolute value equation (AVE). The augmented Lagrangian method is investigated for solving this problems .
Saeed Ketabchi, Hossein Moosaei
doaj +1 more source
Advanced Materials Technologies, EarlyView.Hf–Zr–O‐based morphotropic phase boundary (MPB) thin films often suffer from limited endurance and poor uniformity due to intrinsic phase instability. This work proposes a nanolaminate architecture that spatially separates competing phases, stabilizes phase formation, and suppresses wake‐up‐induced degradation.
Hojung Jang, Hyunsang Hwang
wiley +1 more source
Strength analysis and structural optimization of UAV airframe
Frontiers in Mechanical EngineeringIntroductionWith the booming low-altitude economy, UAVs drive transformative changes across sectors, but their design must balance lightweight demands and structural integrity.
Longhai Ye +5 more
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Parameter Estimation of Electromechanical Oscillation Based on a Constrained EKF with C&I-PSO
Energies, 2018 By combining together the extended Kalman filter with a newly developed C&I particle swarm optimization algorithm (C&I-PSO), a novel estimation method is proposed for parameter estimation of electromechanical oscillation, in which critical ...
Yonghui Sun +5 more
doaj +1 more source
Data-Driven Method for Missing Harmonic Data Completion
IEEE Access, 2021 In large-scale applications, missing harmonic data during transmission is inevitable. This paper presents a novel approach for the completion of missing harmonic data based on a data-driven approach.
Rui Xu +4 more
doaj +1 more source
An Improved Unconstrained Approach for Bilevel Optimization
SIAM Journal on Optimization, 2023 In this paper, we focus on the nonconvex-strongly-convex bilevel optimization problem (BLO). In this BLO, the objective function of the upper-level problem is nonconvex and possibly nonsmooth, and the lower-level problem is smooth and strongly convex with respect to the underlying variable $y$.
Xiaoyin Hu +3 more
openaire +3 more sources
Advanced Materials Technologies, EarlyView.A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
An algorithm for unconstrained optimization [PDF]
, 1992 In this note an algorithm for solving unconstrained optimization problems is presented. A convergence analysis for the method is considered too. The rate of convergence is shown to be superlinear.
CORRADI, Gianfranco
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A Superlubricated Magnetically Steerable Microcatheter with Integrated Optical and Fluidic Channels
Advanced Robotics Research, EarlyView.A magnetically steerable microcatheter with integrated optical and fluidic channels is developed for multifunctional navigation in tortuous anatomical environments. A surface‐grafted hydrogel coating enables low‐friction actuation. The device demonstrates stable light and fluid delivery during magnetic manipulation, offering a compact platform for ...
Yuntian Du +5 more
wiley +1 more source