What are the best benchmarks for optimization libraries?
An example of an AI chatbot conversation about benchmarks for optimization libraries.
What are the best benchmarks for optimization libraries?
Some popular benchmarks include the CUTEst, Hock & Schittkowski, and the CUTE benchmarks. They evaluate various optimization algorithms.
How do these benchmarks compare in terms of difficulty?
The difficulty varies; for instance, CUTEst includes a wide range of problems from easy to very challenging, while Hock & Schittkowski focuses on specific types.
Are there any specific libraries you recommend for optimization?
Yes, libraries like SciPy, Gurobi, and CPLEX are highly regarded for optimization tasks.
Can I use these benchmarks for machine learning optimization?
Absolutely! Many of these benchmarks can be adapted for evaluating machine learning optimization algorithms.
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