In this article, we develop piecewise linear surrogates using Machine Learning (ML) models and the Optimization and Machine Learning ... results in a large-scale mixed-integer nonlinear programming ...

To fully realize the power of MINLP to solve complex business optimization problems ... Some of this can be drawn from conventional wisdom of mixed-integer linear programming (MILP) and nonlinear ...

Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear) ...

Hardware-Software Co-Optimization for End-to-End Communication in Multi-Chip-Modules” was published by researchers at Georgia ...

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

The optimal scheduling of the communication between the network and base station in order to maximize network lifetime, given the chosen minimum length circuit, becomes a simple linear programming ...