Efficient regularized Newton-type algorithm for solving convex optimization problem

DOI10.1007/s12190-021-01620-yzbMath1496.65070OpenAlexW3196907865MaRDI QIDQ2089188

Shazia Javed, Areeba Khan

Publication date: 6 October 2022

Published in: Journal of Applied Mathematics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12190-021-01620-y

zbMATH Keywords

convex optimizationtrust-regionNewton-type algorithmregularization factor

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Convex programming (90C25) Nonlinear programming (90C30)

Uses Software

• KELLEY

Cites Work

• Convergence of Newton-like methods for singular operator equations using outer inverses
• A regularization Newton method for solving nonlinear complementarity problems
• Regularized Newton methods for convex minimization problems with singular solutions
• Optimization theory and methods. Nonlinear programming
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Correction of trust region method with a new modified Newton method
• A regularized Newton method for monotone nonlinear equations and its application
• A method for the solution of certain non-linear problems in least squares
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