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

It is possible to use linear SVR with mixed categorical ... bias don't work, in particular the common stochastic gradient descent (SGD) optimization algorithm. This means you must either use extremely ...

we can approximate the nonlinearities in the GDP to generate an efficient mixed-integer linear programming (MILP) formulation. We apply the ML surrogate approach to two case studies in this work. One ...

Abstract: The aim of the paper presented herein is to propose a new mixed integer formulation and an efficient metaheuristic ... larger instances at competitive computational times. This algorithm ...

Tariffs work through direct reductions of imports.” USTR said that while computing trade deficit effects for every country “is complex, if not impossible, their combined effects can be proxied ...

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First, it outlines a novel Mixed Integer Linear Program (MILP) that can be used to calculate the optimal assignment of services to trajectories. MILP also decides which requests are transported to a ...

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 ...

Our goal is to work together to document and model beautiful, helpful and interesting algorithms using code ... yet make sure that our code follows the latest programming guidelines.