Solve a constrained problem using KKT conditions
Company: Imc
Role: Data Scientist
Category: Machine Learning
Difficulty: medium
Interview Round: Onsite
Overview: This question evaluates understanding of constrained optimization using Karush–Kuhn–Tucker (KKT) conditions, including Lagrangian formulation, stationarity, complementary slackness, dual feasibility, and identification of active constraints.