Beam-GD
Gradient descent commits to a single direction at each step based on the local gradient. This myopic approach can be suboptimal when gradients are noisy, local geometry is misleading, or the loss landscape has multiple competing descent directions. The algorithm makes irrevocable decisions based on local information, potentially missing better