Convex optimization in machine learning in hindi

We have now understood what is meant by a convex optimization problem — which we can write into the standard form

Afterward, we can solve it by either using the Lagrangian Function or using the Dual Function

However, the versatility and cheap computational cost of the interpolation projection offers large gains compared to convex optimizers when integrated into (non-convex) machine learning models, as shown in the experimental validation section

So far we have only considered a single inequality constraint