Mechanical Engineer;
System Theory;
Programming Problem;
Quadratic Programming;
Linear Constraint;
D O I:
10.1023/A:1024742403793
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Certain properties of estimates of a monotonic convex or concave function are studied by the least-squares method-the mean-square trend. The mean-square trend under random perturbations is shown to be asymptotically optimal and converges under nonrandom perturbations. The corresponding computations are reduced a quadratic programming problem under linear constraints.