Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs ...

This is a preview. Log in through your library . Abstract In some applications linear approximations to non-linear models are desirable. They bring the benefits of computational simplicity and access ...

A modified version of Generalized Programming is presented for solving convex programming problems. The procedure uses convenient linear approximations of the gradient of the dual in order to ...

Sometimes, it’s easy for a computer to predict the future. Simple phenomena, such as how sap flows down a tree trunk, are straightforward and can be captured in a few lines of code using what ...

There are three groups of optimization techniques available in PROC NLP. A particular optimizer can be selected with the TECH=name option in the PROC NLP statement. Since no single optimization ...