optimflex: Derivative-Based Optimization with User-Defined Convergence Criteria
Abstract
Provides a derivative-based optimization framework that allows users to combine eight convergence criteria.Unlike standard optimization functions, this package includes a built-in mechanism to verify the positive definiteness of the Hessian matrix at the point of convergence.This additional check helps prevent the solver from falsely identifying non-optimal solutions, such as saddle points, as valid minima.
Fields of Study & Subjects
Advanced Optimization Algorithms Research
Metaheuristic Optimization Algorithms Research
Mathematical and Computational Methods
Publication details
- Publication date
- 7 February 2026
- Document type
- Dataset