optimflex: Derivative-Based Optimization with User-Defined Convergence Criteria

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Authors: Eunseong Cho
Cited by: 0

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