Course Description This course is part three of a specialization on algorithms and data structures. It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and ...

Id: 008135 Credits Min: 3 Credits Max: 3 Description Advanced algorithms and complexity analysis. Dynamic programming; greedy algorithms; amortized analysis; shortest path and network flow graph ...

Greedy Algorithm: An iterative procedure that, at each step, selects the component offering the greatest immediate improvement in the approximation of an element.

We consider the problem of approximating a given element f from a Hilbert space $\scr {H}$ by means of greedy algorithms and the application of such procedures to the regression problem in statistical ...

The interplay between the intrinsic properties of Banach spaces and the efficiency of greedy methods has led to a deeper understanding of bases such as quasi‐greedy and almost greedy systems ...