The problem of locating p maximally dispersed points in a convex space is considered. This problem is formulated as a non-linear programming problem. It is shown that this problem, in a square, is ...

Users can expect faster solves, new nonlinear capabilities, PDHG with GPU acceleration, and Kubernetes autoscaling.

An important class of mathematical programming problems is the scheduling of manufacturing and transportation systems. In many cases, the independent variables which describe the manufacturing system ...

The optimisation of gas networks has emerged as a critical field in energy systems engineering, incorporating advanced nonlinear programming techniques to address the increasing complexity of gas ...

The nonlinear programming (NLP) problem with one objective function f and m constraint functions c i, which are continuously differentiable, is defined as follows: In the preceding notation, n is the ...

Traffic modeling has been of interest to mathematicians since the 1950s. Research in the area has only grown as road traffic control presents an ever-increasing problem. In a new paper, authors ...

Users can expect faster solves, new nonlinear capabilities, PDHG with GPU acceleration, and Kubernetes autoscaling. Gurobi Optimization, LLC, the leader in decision intelligence technology, is pleased ...