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Optimization Theory

[ˌɒptɪmaɪˈzeɪʃən ˈθɪəri]
Artificial Intelligence
Last updated: December 9, 2024

Definition

The study of finding the best solution among all feasible solutions, central to training AI models effectively.

Detailed Explanation

Optimization theory deals with methods for finding optimal solutions to mathematical problems. It includes linear and nonlinear optimization, convex optimization, and constrained optimization. In AI, it's crucial for training models, finding optimal parameters, and improving model performance.

Use Cases

Model training, hyperparameter tuning, resource allocation, efficiency improvements

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