2020年6月11日 · I understand the Academic Version of CPLEX is downloadable, and that one needs to just download and click for installation. The Cplex executable is different from the API as the API is just a wrapper that translated Python instructions into C instructions during execution, and the Cplex executable is invoked specifically by Pyomo.

2024年6月26日 · $\begingroup$ Recently IBM has added the CPLEX to its new cloud platform watsonx that enables integration of CPLEX with LLM applications. More than that, there is a roadmap for updates on CPLEX based on works on IBM Dev and research teams, including adding new capabilities and supporting more OS systems, and performance improvements.

2024年10月30日 · I don't know the details of all the solvers, but CPLEX will create separate copies of the problem matrix (or portions of it) for each parallel thread, so with a large model you might run out of RAM, limiting the usefulness of the parallel threads. With a small model, RAM is likely not an issue.

Using the API from the Solver itself. For example .Net Interface for IBM ILOG CPLEX. Using a Framework that works with many solvers. The Framework translates the constrains in the format that the chosen solver can read. For example, AMPL. There is a related question that gives a very good explanation and insights. @Rob posted a very detailed ...

2020年5月16日 · B. Use the Cplex solver to solve it. Modeling the problem : The tables below represent every method and possibility for each leg length: Cutting cases and leftovers using 1.5m -150cm- steel bar :

2022年1月18日 · Given that tomorrow Apple will likely announce the first ARM Macs (per bloomberg), I was wondering what the current status of ARM support in optimization software. For instance, does anyone know if

2020年11月4日 · There are cases where Gurobi is better than CPLEX for some model instance A while the reverse situation happens for a different instance B. A specific nonlinear solver could perform significantly better than Gurobi/CPLEX for a model you have in mind. And if this is important or not will depend on your available computing infrastructure.

2023年12月13日 · Probably this link from Gurobi will help. You have to call the optimize() function in gurobi after you change parameters like the rhs of a constraint, add/remove constraints, change bounds of variables, change objective coefficients or hyperparameters like optimal gap, integrality gap (for MIP), turning certain constraints into lazy constraints (kind of delayed row generation), …

2021年8月30日 · This is a known fact with CPLEX, presumably the same with CPOptimizer for essentially the same reason: the final state of the previous solve may not be valid for the modified problem. For instance, if you were to drop constraints and resume, the true optimal solution might never be found because it might have been eliminated during the first ...

2023年9月4日 · If you want to code your own, you might wish to look at some examples that ship with CPLEX Studio. If X is the installation directory for CPLEX Studio, look in X/cplex/examples/src/cpp. Examples you might find interesting are facility.cpp, ilobendersatsp2.cpp, ilobendersatsp.cpp and ilobenders.cpp.