optimization algorithms

How do I optimize my algorithm?
Newton method and sequential quadratic programming are examples of local optimization methods.
Global optimization methods are heuristic-based methods.
This means that there is no guarantee for their result to be globally optimal.
What are the types of optimization techniques?
Optimization is the process where we train the model iteratively that results in a maximum and minimum function evaluation.
It is one of the most important phenomena in Machine Learning to get better results.

Optimization algorithms:Optimization algorithms are a class of algorithms that are used to find the best possible solution to a given problem. The goal of an optimization algorithm is to find the optimal solution that minimizes or maximizes a given objective function.

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