Implement the SMO (Sequential minimal optimization) algorithm in whatever language you like. (Existing library such as libsvm or code is not allowed) a. Attach the source code. b. Consider a Support Vector Machine and the following training data from two categories:

Solve this example and output the values of the updated s in each step. Also output the final hyperplane parameters w and b.

C-1:(1,1) C+1: (0,0) (2, 2)+(2,0) (1,0) (0,1) (2,1) (-1,-1)