Constrained Optimization and the KKT Conditions

an insight into the Lagrangian function

Optimization is ubiquitous in the realms of computer science, physics, mathematics, and economics. It stands as an essential tool for AI and machine learning (ML) professionals, applicative in diverse domains including decision-making, route planning, and learning parameters in ML models, such as Support Vector Machines (SVM) and neural networks. The most general form of optimization is finding a minimum/maximum of a function with respect to its independent variables, which can be …

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