CONVEX OPTIMIZATION

We meet on the second Tuesday of every month at a local nightspot conducive to entrepreneurship and snacking. We talk mostly about new commercial applications of mathematical Optimization and mental Optimization (how to stay sharp)... Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has geometric interpretation. If a given optimization problem can be transformed to a convex equivalent, then this interpretive benefit is acquired. That is a powerful attraction: the ability to visualize geometry of an optimization problem. Conversely, recent advances in geometry hold convex optimization within their proofs' core. This book is about convex optimization, convex geometry (with particular attention to distance geometry), geometrical problems, and problems that can be transformed into geometrical problems. Euclidean distance geometry is, fundamentally, a determination of point conformation from interpoint distance..

Also known as: Convex Optimization Group

Primary location: Stanford United States