Linked from

The 26 pages that link to Gradient descent, each with the reason it gives.

• Newton's methodCompared with: Gradient descent uses first-order information and controlled steps rather than Newton's curvature-based root updates.

• Expectation–maximization algorithmCompared with: Unlike EM’s latent-variable decomposition, it takes steps directly on an objective function.