What are the best algorithms for optimization?
Some of the best algorithms for optimization include Gradient Descent, Genetic Algorithms, and Simulated Annealing.
Can you explain how Gradient Descent works?
Gradient Descent is an iterative optimization algorithm used to minimize a function by adjusting parameters in the direction of the steepest descent.
What are Genetic Algorithms used for?
Genetic Algorithms are used for solving complex optimization problems by mimicking the process of natural selection.
Are there any specific use cases for Simulated Annealing?
Yes, Simulated Annealing is often used in scheduling, routing, and other combinatorial optimization problems.
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