The active constraints are updated iteratively during the iterative process, until the true active-set of the problem is found. Algorithm analysis and application in the constrained least-squares design of FIR filters shows that the PLS algorithm consumes far less amount of computation than the popular active-set methods. 将该算法应用到FIR滤波器的约束最小二乘设计中,算法分析及约束FIR滤波器的设计例子都表明该算法的计算量远小于目前最流行的二次规划算法&有效集方法。