write small example case for scipy.optimize.minimize

introduction/test_minimize.py

@@ -0,0 +1,18 @@
+
+from scipy.optimize import minimize
+import numpy as np
+
+
+def main():
+    guess = np.zeros(3)
+    fmin = minimize(fun=cost1, x0=guess, args=(3, 20, -25), method="Nelder-Mead")
+
+    print(fmin)
+
+
+def cost1(X, a=2, b=9, c=15):
+    return (X[0]-a)**2 + (X[1]-b)**2 + (X[2]-c)**2
+
+
+if __name__ == '__main__':
+    main()