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更新于 : Mar 29, 2017
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这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Mar 2017
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

JuMP is a domain-specific language for mathematical optimizations in Julia. JuMP defines a common API called MathProgBase and enables users to write solver-agnostic code in Julia. Currently supported solvers include Artelys Knitro, Bonmin, Cbc, Clp, Couenne, CPLEX, ECOS, FICO Xpress, GLPK, Gurobi, Ipopt, MOSEK, NLopt and SCS. One other benefit is the implementation of automatic differentiation technique in reverse mode to compute derivatives so users are not limited to the standard operators like sin, cos, log and sqrt but can also implement their own custom objective functions in Julia.

Nov 2016
评估 ? 在了解它将对你的企业产生什么影响的前提下值得探索

JuMP is a domain-specific language for mathematical optimizations in Julia. JuMP defines a common API called MathProgBase and enables users to write solver-agnostic code in Julia. Currently supported solvers include Artelys Knitro, Bonmin, Cbc, Clp, Couenne, CPLEX, ECOS, FICO Xpress, GLPK, Gurobi, Ipopt, MOSEK, NLopt and SCS. One other benefit is the implementation of automatic differentiation technique in reverse mode to compute derivatives so users are not limited to the standard operators like sin, cos, log and sqrt but can also implement their own custom objective functions in Julia.

发布于 : Nov 07, 2016

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