{"repository":{"description":"Adaptive Simulated Annealing (ASA) is a C-language code developed to statistically find the best global fit of a nonlinear constrained non-convex cost-function over a D-dimensional space.","watchers":0,"stargazers":0,"forks":0,"fork":false,"size":0,"owner":"ingber","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"created_at":"2013-04-06T08:04:02-07:00","pushed_at":"2013-04-06T08:04:02-07:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Lester Ingber","company":"Lester Ingber Research","blog":"http://www.ingber.com","location":"USA","email":"bafd6206487456b3dee3537488906179e94421a7@alumni.caltech.edu"},"url":"https://github.com/ingber/adaptive-simulated-annealing"}