This course discusses basic convex analysis (convex sets, functions, and optimization problems), optimization theory (linear, quadratic, semidefinite, and geometric programming; optimality conditions ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...

Resource Description Framework (RDF) query processing and optimization underpin the efficient retrieval and manipulation of data within vast, interconnected datasets. At its core, these ...

Optimizing the performance of operational databases and the applications that access them is a constant battle for DBAs. Of course, writing efficient SQL is the most important aspect of ensuring ...