MATLAB函数参考手册，查看matlab函数作用以及功能。- SVMLSPex02.m

Two Dimension SVM Problem, Two Class and Separable Situation



　Difference with SVMLSPex01.m:

　　　　　　Take the Largrange Function (16)as object function insteads ||W||,

　　　　　　　　so it need more time than SVMLSex01.m



Method from Christopher J. C. Burges:

"A Tutorial on Support Vector Machines for Pattern Recognition", page 9

　　

　 Objective:　 min "f(A)=-sum(ai)+sum[sum(ai*yi*xi*aj*yj*xj)]/2" ,function (16)

　 Subject to:　sum{ai*yi}=0 ,function (15)

　　　　　　　　　　 and ai>=0 for any i, the particular set of constraints C2 (page 9, line14).

The optimizing variables is "Lagrange Multipliers": A=[a1,a2,...,am],m is the number of total samples.