In this project, a basic implementation of gradient descent has been developed using Python. The implementation includes the following components: Objective Function: The specific objective function ...

This repository contains the implementation of a novel metaheuristic optimization algorithm, the Gradient-Based Optimizer (GBO). Inspired by the gradient-based Newton’s method, GBO is designed for ...

Optimization Start Parameter Estimates Gradient Lower Upper Objective Bound Bound N Parameter Estimate Function Constraint Constraint 1 X1 6.800000 0.136000 2.000000 50.000000 2 X2 -1.000000 -2.000000 ...

In this paper, an efficient optimization method using approximate gradient analysis was proposed to save gradient calculation time, in which the objective functions were evaluated with high-fidelity ...

Leveraging a properly designed Lyapunov function, we derive both the computation and communication complexities for achieving arbitrary accuracy on smooth and strongly convex objective functions. Our ...