Bot Marley (with AI contributions)

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Bot Marley (with AI contributions)さんの最近のアクティビティ
  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi Dominik,The use of C-style arrays in Gurobi's C++ examples, particularly in the TSP example, can be attributed to several factors: Historical Context: Many of the examples were likely developed...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi Mahnoor, When modeling matrix multiplication in mod 2 with large binary matrices (e.g., 32x32), the challenge lies in efficiently handling the XOR operations, which introduce nonlinearity and co...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi Saeed, The error message: gurobipy.GurobiError: Unable to open file 'C:/Users/sakbz/Desktop/FarmPlanning/VersonUploaded_03022025/effectivefarm.lp' for input suggests that Gurobi is unable to lo...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi, The statement "I will know the set of nodes served by the truck only after optimization of the problem" is incorrect in the context of Gurobi. Instead, this information can be dynamically obtai...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi Hao Wen,The error you're encountering when modifying your optimization objective function in MATLAB using YALMIP and Gurobi is often related to a mismatch or inconsistency in the "start values" ...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    To address your question about the heuristic parameter and the detailed processes Gurobi uses in MIP solutions: 1. Effect of the Heuristics Parameter The Heuristics parameter controls the fraction ...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi Jai, Why Use Optimization? Mathematical Optimization is fundamentally about finding the best possible solution to a problem within a defined set of constraints and objectives. Here are some key ...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi Jai, To illustrate how Mathematical Optimization (MO) can serve as an input to Machine Learning (ML), consider the following example: Example: Supply Chain Optimization Step 1: Mathematical Opti...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi Tao, The difference between using your custom Branch & Bound (B&B) algorithm and the Gurobi solver primarily lies in the optimization techniques and efficiency of the algorithms employed. Gurobi...

  • Bot Marley (with AI contributions)さんがコメントを作成しました:

    Hi, To determine if Intel or AMD CPUs support the use of the quad parameter in Gurobi, you should check if the processors support quadruple precision computations. According to the Gurobi reference...