Results 241 to 250 of about 1,099,998 (291)

A well-defined local continuum damage model with softening via convexification and entropic regularization

Lauff C, Schlichting A, Böhlke T, Schneider M.   +3 more
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A Survey of Quasi-Newton Equations and Quasi-Newton Methods for Optimization

Annals of Operations Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chengxian Xu, Jianzhong Zhang 0001
exaly   +2 more sources

Surrogate-Assisted Quasi-Newton Enhanced Global Optimization of Antennas Based on a Heuristic Hypersphere Sampling

IEEE Transactions on Antennas and Propagation, 2021
This communication presents a novel surrogate-assisted quasi-Newton enhanced global optimization (SA-QNEGO) algorithm. In this proposed method, the heuristic hypersphere sampling (HHS) method is used to obtain representative samples.
Zhen Zhang, Hong-Cai Chen, Qing-Sha S. Cheng   +2 more
semanticscholar   +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.
exaly   +3 more sources

A Quasi-Newton Quaternions Calibration Method for DVL Error Aided GNSS

IEEE Transactions on Vehicular Technology, 2021
Doppler Velocity Logs (DVL) is an important information source for underwater vehicle navigation because it can provide accurate velocity information. As the main system, SINS/DVL integrated navigation is widely used in the underwater vehicle.
Di Wang, Xiao-Su Xu, Yang Yang, Tao Zhang   +3 more
semanticscholar   +1 more source

Stochastic Quasi-Newton Methods

Proceedings of the IEEE, 2020
Large-scale data science trains models for data sets containing massive numbers of samples. Training is often formulated as the solution of empirical risk minimization problems that are optimization programs whose complexity scales with the number of elements in the data set.
Aryan Mokhtari, Alejandro Ribeiro
openaire   +2 more sources

A new type of quasi-newton updating formulas based on the new quasi-newton equation

Numerical Algebra, Control and Optimization, 2020
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Basim Hassan
exaly   +3 more sources

On the New Quasi-Newton Equation for Unconstrained Optimization

International Enformatika Conference, 2022
Quasi-Newton methods (QN) are very useful in finding the optimal solution to the unconstrained optimization problems. The updated Hessian approximations fulfill the equation on each iteration for solving unconstrained optimization problems, hence the ...
Basim A. Hassan, Abdulrahman R. Ayoob
semanticscholar   +1 more source