Algorithms For Optimization Av Mykel J. (stanford University) Kochenderfer, Whee

<b>An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance.</b><p>Many important problems involve decision...

<b>A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them.</b><br><br>Automated decision-making systems or decision-support...

<P><EM>Discover New Methods for Dealing with High-Dimensional Data</EM></P><br/><br/><P></P><br/><br/><P>A sparse statistical model has only a small number of nonzero parameters or weights;...

<P>The second edition of this popular book presents the theory of graphs from an algorithmic viewpoint. The authors present the graph theory in a rigorous, but informal style and cover most of the main areas of graph theory. The ideas of surface...