{"added":null,"apiVersion":1,"behindSince":null,"buildDepends":[],"categories":["wip","math","python"],"comment":"Constrained non-convex optimization and uncertainty quantification","compare":null,"dependentCount":null,"description":"The mystic framework provides a collection of optimization algorithms\nand tools that allows the user to more robustly (and easily) solve hard\noptimization problems. All optimization algorithms included in mystic\nprovide workflow at the fitting layer, not just access to the algorithms\nas function calls. mystic gives the user fine-grained power to both\nmonitor and steer optimizations as the fit processes are running.\nOptimizers can advance one iteration with Step, or run to completion\nwith ``Solve``.  Users can customize optimizer stop conditions, where both\ncompound and user-provided conditions may be used. Optimizers can save\nstate, can be reconfigured dynamically, and can be restarted from a\nsaved solver or from a results file.  All solvers can also leverage\nparallel computing, either within each iteration or as an ensemble of\nsolvers.","flavors":[],"html":"https://daemonports.org/netbsd/wip/py-mystic/","kind":"port","lastUpdate":null,"license":["modified-bsd"],"maintainer":"jihbed.research@gmail.com","name":"mystic","newest":false,"newestVersion":null,"noVulnData":false,"origin":"wip/py-mystic","otherSystems":[],"packages":null,"pkgName":"mystic-0.3.6","related":null,"repository":"pkgsrc-wip","requiredBy":[],"requiredByCount":0,"runDepends":["math/py-numpy","math/py-sympy","textproc/py-dill","wip/py-klepto"],"status":null,"system":"netbsd","systemLabel":"NetBSD","version":"0.3.6","versions":null,"vulnerabilities":null,"www":"https://pypi.org/project/mystic"}