New Correlation Methods in Monte Carlo Simulation
If you haven't explored Dimensional Modeling yet (see the Model dropdown on the Analytic Solver Platform Ribbon), you have some new reasons to do so - check out the chapter "Dimensional Modeling" in the Frontline Solvers User Guide. Memory use and time computing multi-dimensional formulas is often dramatically reduced for these models. This release also includes performance enhancements for multi-dimensional optimization and simulation models that use the Dimensional Modeling features of Analytic Solver Platform, in the frequently-occurring case where multi-dimensional data is ‘ sparse’. New Support for ‘Sparse Cubes’ in Dimensional Modeling If you have a model for the Evolutionary Solver with integer variables, you're likely to see a real performance boost in V2016-R2 - and we have more enhancements coming down the pike for models like yours. These enhancements build on the SQP-GS (Sequential Quadratic Programming with Gradient Sampling) for local search, and Feasibility Pump algorithms that we introduced four months ago in Frontline Solvers V2016. V2016-R2 features significant enhancements to our Evolutionary Solver, focusing on models with integer variables – often yielding dramatically better solutions in a given amount of time, compared to our previous releases and competitive products. New Optimization Power in Evolutionary Solver This is our fourth new product release in 2016, following, our new cloud analytics platform in January, XLMiner SDK in February, and Solver SDK V2016 in March. In recent years we've been offering "Christmas in July" - a major release near year-end, and another major new release in mid-year - but in 2016, July has moved up to April.
#Missing analytic solver platform 2016 professional#
We're pleased to introduce Version 2016-R2 of Frontline Solvers for Excel, including our flagship integrated product Analytic Solver Platform, and our professional entry-level integrated product Analytic Solver Pro.
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