Data science and AI continue to make healthcare headlines because of their potential to change everything from how drugs are developed to revolutionizing information workflows. One area where we ...

Compared with other problem book, this one has few new basic features. They include problems dealing with polynomial matrices (Sec. 13), linear transformations of affine and metric spaces (Secs. 18 ...

Operational research is increasingly being discussed at institutional meetings, donor forums, and scientific conferences, but limited published information exists on its role from a disease-control ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...

This is due to the greater nutritional level flexibility provided by non-linear programming, which establishes the required nutritional levels to obtain the highest profit according to the economic ...

Modern operational forest inventory often uses remotely sensed data that cover the whole inventory area to produce spatially explicit estimates of forest properties through statistical models. The ...

This paper discusses a class of linear programming problems with interval coefficients in both the objective functions and constraints. The noninferior solutions to such problems are defined based on ...

International Transactions in Operational Research, 19(1–2), 3–22. Web of Science, Google Scholar; Belenguer JM, MC Martinez and E Mota (2000). A lower bound for the split delivery vehicle routing ...

These four C150 Research Chairs are among the majority who intend to stay in Canada and, ideally, expand their research hubs even after the program ends. Since 2017, the chairs and their core team ...