Consider the following all-integer linear program. 1x₁ + 1x₂ Max s.t. x1, x2 X₁, X₂ 5x₁ + 6x₂ ≤ 31 1x₁ + 5x₂ ≤ 15 2x₁ + 1x₂ ≤ 11 1 ≥ 0 and integer
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- Consider the following all-integer linear program:max 5x1 + 8x2s.t. 9x1 + 4x2 ≤ 361x1 + 2x2 ≤ 10x1, x2 ≥ 0 and integer.Solve by the Big M – method: Maximize Ζ= x1 + 2x2 −3x3 + x4 Subject to x1 +2x2 +3x3 =15 2x1 +x2 + 5x3 = 20 x1 +2x2 +x3 +x4 = 10 x1 + 4x2 +6x3 ≤ 5 Where x x x x1, 2, 3, 4 ≥ 0Consider the following all-integer linear program: Max 5x1 + 8x2 s.t. 6x1 + 5x2 ≤ 28 11x1 + 5x2 ≤ 46 x1 + 2x2 ≤ 8 x1, x2 ≥ 0 and integer Find the optimal solution to the LP Relaxation. If required, round your answers to two decimal places. x1= fill in the blank 2 x2= fill in the blank 3 Optimal Solution to the LP Relaxation fill in the blank 4 Round down to find a feasible integer solution. If your answer is zero enter “0”. x1= fill in the blank 5 x2= fill in the blank 6 Feasible integer solution fill in the blank 7 Find the optimal integer solution. If your answer is zero enter “0”. x1= fill in the blank 8 x2= fill in the blank 9 Optimal Integer Solution fill in the blank 10
- Consider the following all-integer linear program: Max 5x1 + 8x2 s.t. 6x1 + 5x2 ≤ 28 11x1 + 5x2 ≤ 46 x1 + 2x2 ≤ 8 x1, x2 ≥ 0 and integer Find the optimal solution to the LP Relaxation. If required, round your answers to two decimal places. x1= fill in the blank 2 x2= fill in the blank 3 Optimal Solution to the LP Relaxation fill in the blank 4 Round down to find a feasible integer solution. If your answer is zero enter “0”. x1= fill in the blank 5 x2= fill in the blank 6 Feasible integer solution fill in the blank 7 Find the optimal integer solution. If your answer is zero enter “0”. x1= fill in the blank 8 x2= fill in the blank 9 Optimal Integer Solution fill in the blank 10 Is it the same as the solution obtained in part (b) by rounding down?Consider the following all-integer linear program. Max 1x1 + 1x2 s.t. 5x1 + 7x2 ≤ 42 1x1 + 5x2 ≤ 20 2x1 + 1x2 ≤ 15 x1, x2 ≥ 0 and integer (b)Solve the LP Relaxation of this problem. ( ) at (x1, x2) = ( )Find the optimal solution for the following problem. Maximize C = 4x + 12y subject to 3x + 5y ≤ 12 6x + 2y ≤ 10 and x ≥ 0, y ≥ 0. What is the optimal value of x? What is the optimal value of y? (Round your answer to 3 decimal places.) What is the maximum value of the objective function? (Round your answer to 3 decimal places.)
- Consider the following all-integer linear program. Max 1x1 + 1x2 s.t. 5x1 + 7x2 ≤ 42 1x1 + 5x2 ≤ 20 2x1 + 1x2 ≤ 15 x1, x2 ≥ 0 and integer (b)Solve the LP Relaxation of this problem. ( ) at (x1, x2) = ( ) (c) Find the optimal integer solution. ( ) at (x1, x2) = ( )Find the optimal solution of the following LP models. Maximize z= 15x1+20x2 Subject to: x1+2x2 ≥ 10 2x1 - 3x2 ≤ 6 x1+x2 ≥ 6 x1,x2 ≥ 0use the simplex method to solve the given linear programming problem (In each case the objective function is to be maximized.) Objective function: z = x_{1} - x_{2} + 2x_{3} Constraints: 2x_{1} + 2x_{2} <= 8 x_{3} <= 5 x_{1}, x_{2}, x_{3} >= 0
- Consider the following all-integer linear program. Max 1x1 + 1x2 s.t. 5x1 + 7x2 ≤ 42 1x1 + 6x2 ≤ 18 2x1 + 1x2 ≤ 15 x1, x2 ≥ 0 and integer (a) Graph the constraints for this problem. Use dots to indicate all feasible integer solutions. On the coordinate plane the horizontal axis is labeled x₁ and the vertical axis is labeled x₂. A region bounded by a series of connected line segments and several points are on the graph. The line segments connect the approximate points (0, 7.5), (1, 7), (2.09, 5.48), and (3, 0). The region is above the horizontal axis, to the right of the vertical axis, and below the line segments. All ordered pairs with integer values in the region, on the series of connected line segments, but not on the horizontal nor vertical axes, are shown. On the coordinate plane the horizontal axis is labeled x₁ and the vertical axis is labeled x₂. A region bounded by a series of connected line segments and several points are…Determine whether the problem has multiple solutions, unbounded solutions, or no feasible solutions.Maximize z = 10x1 + 11x2 + 7x3, subject to 2x1 + 3x2 − 9x3 ≤ 72 2x1 + 5x2 − 10x3 ≥ 100 x1 ≥ 0, x2 ≥ 0, x3 ≥ 0 The problem has multiple solutions. The problem has unbounded solutions. T he problem has no feasible solutions.A linear programming problem is given as follows: maximize ? = 50x1 + 80x2 + 64x3 + 80x4 Subject to 5x1 + 2.5x2 + 4.5x3 + 3.99x4 ≤ 600 4.1x1 + 2.6x2 + 5.5x3 + 1.9x4 ≤ 500 15x1 + 22x2 + 18x3 + 25x4 ≤ 400 8x1 + 12.6x2 + 9.7x3 + 10.55x4 ≤ 1700 x1 + x2 / x1 + x2 + x3 + x4 ≥ 0.60 x1, x2, x3, x4 ≥ 0