{"push_id":657757964,"size":1,"distinct_size":1,"ref":"refs/heads/topics/v3","head":"6423da10ba9f6a94760ea53bb3cfa999ea5a986a","before":"8c3e5a7569cf2416ffe169b3bc22e7c5e51b7708","commits":[{"sha":"6423da10ba9f6a94760ea53bb3cfa999ea5a986a","author":{"email":"47e7df528199fb1a4d25471678604b8f1ccccd9d@sandia.gov","name":"Scot Swan"},"message":"Added the 'brute' scipy optimization method.\n\nSimplex and Cobyla are fantastic, but sometimes what you really\nneed is the proper application of excessive force!\n\nThe optimizer uses the same bounds as the other method. The number\nof evaluations in each dimension are set by Optimizer(...., Ns=5).\n\nThe brute() method can apply a finishing optimzation function\n(by scipy default it is fmin()). I have disabled this. It evaluates\nall the points and returns the point at which the objective function\nis least. This is *very* easy to change.","distinct":true,"url":"https://api.github.com/repos/tjfulle/matmodlab/commits/6423da10ba9f6a94760ea53bb3cfa999ea5a986a"}]}