14 lines
849 B
Plaintext
14 lines
849 B
Plaintext
The mystic framework provides a collection of optimization algorithms
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and tools that allows the user to more robustly (and easily) solve hard
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optimization problems. All optimization algorithms included in mystic
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provide workflow at the fitting layer, not just access to the algorithms
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as function calls. mystic gives the user fine-grained power to both
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monitor and steer optimizations as the fit processes are running.
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Optimizers can advance one iteration with Step, or run to completion
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with ``Solve``. Users can customize optimizer stop conditions, where both
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compound and user-provided conditions may be used. Optimizers can save
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state, can be reconfigured dynamically, and can be restarted from a
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saved solver or from a results file. All solvers can also leverage
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parallel computing, either within each iteration or as an ensemble of
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solvers.
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