MeanFieldToolkit.MFTResume

ReadMFT(fileName::String) --> Dict{String, Any}

Reads a mean-field simulation from a checkpoint file. Returns a dictionary containing the following keys:

• Convergence: The norm of the difference between the input and the output at the last iteration.
• Expectations: The expectation values of the order parameters in the last iteration.
• Iterations: The number of iterations performed.
• MFT: The mean-field theory object used for the simulation.

ResumeMFT!(fileName::String ; Update::Function = SimpleMixing, max_iter::Int64 = 100, tol::Float64 = 1e-6, checkpoint_interval::Int64 = 50) --> SelfCons 

Resumes a mean-field simulation from a checkpoint file.

• If Update is passed, then the update function is used to perform the self-consistency update.
• If max_iter is passed, then the maximum number of iterations is set to max_iter.
• If tol is passed, then the tolerance for convergence is set to tol.
• If checkpoint_interval is passed, then the checkpoint interval is set to checkpoint_interval.