The MOSEK Solver is designed for conic optimization, and offers the best performance on SOCP problems. Conic Optimization ProblemsĪlso handles QP and QCP models (not NLP models) Note: Solution of large-scale QP problems using any of these Solver Engines may be limited by available memory. All of the above Solver Engines are typically very fast on large-scale LP problems. You can also use large-scale nonlinear Solver engines with our Solver Platforms to solve large-scale LP problems, but the above Solver engines offer much better performance on such problems. Sparsity, dual Simplex, best MIP performance Sparsity, dual Simplex, Barrier method, MIP performance Linear and Quadratic Programming ProblemsĪlso handles QCP, SOCP, convex NLP models
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And the same Solver Engines can be used with our Solver SDK Platform product, and controlled by your code in C++, C#, Java, R, Python, and JavaScript. They can be controlled by your VBA code in Analytic Solver Desktop. They can be interrupted during the solution process by pressing the ESC key, and they produce reports in spreadsheet form, just like the built-in Solver engines. You select them from the Solver engine dropdown list, just as you do for the built-in Solvers, and you can display and change their options and parameters in the same way as built-in Solver engines.
These Solver engines "plug into" Analytic Solver (Desktop and Cloud versions). Fortunately, you can try any of our 8 plug-in large-scale Solver Engines free for 15 days - and Analytic Solver can algebraically diagnose your model and automatically select the best Solver Engine, choosing from the all the available built-in and plug-in Solver Engines. To learn more, visit Optimization Problem Types. But what if your model is larger, or it takes longer to solve than you'd like? Frontline has brought the world's best Solvers to our platform - enabling users like you to solve nonlinear models with 100,000 variables or more, and linear models with millions of variables.įor large-scale problems, it's especially important to understand the type of model - linear, non-linear or non-smooth, convex or non-convex - you are trying to solve, improve the formulation if possible, and choose the best Solver Engine. The built-in Solver Engines included with Analytic Solver can handle problems with thousands of variables and constraints, and offer great performance at no extra cost. Best-in-Class Optimization Engines for the World's Most Challenging Problems Go from thousands to hundreds of thousands or even millions of decision variables and constraints.
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