hybrid optimization algorithms combining gradient descent

Hybrid optimization algorithms combining gradient descent refer to methods that merge the principles of gradient descent with other optimization techniques to enhance performance in finding optimal solutions within a given problem. These algorithms exploit the advantages of both gradient descent and other optimization methods to accelerate convergence and improve overall optimization efficiency.

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