input: Write a function to explain the approach for solving a linear programming problem using the Simplex method in Python. The function should detail the steps involved in converting the problem into standard form, setting up the tableau, and iteratively applying the Simplex algorithm to find the optimal solution.
  assert simplex_method_explanation()==[
      "First, define the problem in terms of the decision variables, objective function, and constraints.",
      "Convert the problem into standard form by introducing slack variables, if needed.",
      "Create a tableau containing the coefficients of the decision variables and the right-hand sides of the constraints, and set up the starting solution in the tableau.",
      "Iteratively use the Simplex algorithm to move from a vertex to the next until an optimum solution is reached.",
      "Determine the optimum solution by inspecting the values in the tableau."
  ]
output: def simplex_method_explanation():
      return [
          "First, define the problem in terms of the decision variables, objective function, and constraints.",
          "Convert the problem into standard form by introducing slack variables, if needed.",
          "Create a tableau containing the coefficients of the decision variables and the right-hand sides of the constraints, and set up the starting solution in the tableau.",
          "Iteratively use the Simplex algorithm to move from a vertex to the next until an optimum solution is reached.",
          "Determine the optimum solution by inspecting the values in the tableau."
      ]