input: Write a function to explain the approach for solving a linear programming problem using the Simplex method in Python. The function should describe how to define the problem, convert it into standard form, set up the tableau, and iteratively use the Simplex algorithm to find the optimal solution.
  assert simplex_method_explanation("a linear programming problem using the Simplex method in Python involves defining the problem, converting it into standard form, setting up the tableau, and iteratively using the Simplex algorithm to find the optimal solution.")==True
  assert simplex_method_explanation("first, define the problem in terms of the decision variables, objective function, and constraints. Next, convert the problem into standard form by introducing slack variables, if needed. Then, 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. Now, 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.")==True
  assert simplex_method_explanation("The Simplex Method is not applicable for non-linear problems.")==False
  assert simplex_method_explanation("The Simplex Method is only used for integer linear programming problems.")==False
  assert simplex_method_explanation("")==False
output: def simplex_method_explanation(explanation):
      keywords = ["linear programming", "Simplex method", "define the problem", "standard form", "tableau", "iteratively", "optimal solution"]
      explanation = explanation.lower()
      return all(keyword in explanation for keyword in keywords)