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The general form of an optimization problem comprises a linear function of variables, also called "objective function" and a number of constraint inequalities. The app can facilitate a maximisation as well as minimisation problem bearing up to 7 variables and up to 6 contraint inequalities. The solution algorithm is implemented by constructing and manipulating the Simplex tableau before calculating the parameters for which the maximum value of the objective function is obtained.

The general form of an optimization problem comprises a linear function of variables, also called "objective function" and a number of constraint inequalities. The app can facilitate a maximisation as well as minimisation problem bearing up to 7 variables and up to 6 contraint inequalities. The solution algorithm is implemented by constructing and manipulating the Simplex tableau before calculating the parameters for which the maximum value of the objective function is obtained.

The general form of an optimization problem comprises a linear function of variables, also called "objective function" and a number of constraint inequalities. The app can facilitate a maximisation problem bearing up to 7 variables and up to 6 contraint inequalities. The solution algorithm is implemented by constructing and manipulating the Simplex tableau before calculating the parameters for which the maximum value of the objective function is obtained.

The general form of an optimization problem comprises a linear function of variables, also called "objective function" and a number of constraint inequalities. The app can facilitate a maximisation problem bearing up to 7 variables and up to 6 contraint inequalities. The solution algorithm is implemented by constructing and manipulating the Simplex tableau before calculating the parameters for which the maximum value of the objective function is obtained.

The general form of an optimization problem comprises a linear function of variables, also called "objective function" and a number of constraint inequalities. The app can facilitate a maximisation problem bearing up to 7 variables and up to 6 contraint inequalities. The solution algorithm is implemented by constructing and manipulating the Simplex tableau before calculating the parameters for which the maximum value of the objective function is obtained.

The general form of an optimization problem comprises a linear function of variables, also called "objective function" and a number of constraint inequalities. The app can facilitate a maximisation problem bearing up to 7 variables and up to 6 contraint inequalities. The solution algorithm is implemented by constructing and manipulating the Simplex tableau before calculating the parameters for which the maximum value of the objective function is obtained.

The general form of an optimization problem comprises a linear function of variables, also called "objective function" and a number of constraint inequalities. The app can facilitate a problem bearing up to 7 variables and up to 6 contraint inequalities. The solution algorithm is implemented by constructing and manipulating the Simplex tableau before calculating the parameters for which the maximum value of the objective function is obtained.