增广拉格朗日解决有约束优化图像成像逆问题-augmented laarangian approach to the constrained optimization formulation of imaging inverse problems

压缩感知共轭梯度的基追踪算法。里面详细写了该算法的源程序。希望可以供大家学习。-this is the Gradient Projection for Linearly Constrained Convex Optimization in Sparse Signal Recovery

一个新的合并方法，多重网格（在一个共同的坐标）在一个单一的拓扑正确的网。这种方法是基于约束Delaunay四面体化和图割优化-a new merging method of multiple meshes (in a common coordinate) into one single topologically correct mesh. This method is based on the constrained Delaunay tetrahedralization and graph

Considering the complete process of surgery including the preoperative and postoperative stages, multiple resource constraints involved and the integration of surgical upstream and downstream resources, surgery scheduling was described as an ex