m is the no. of linear constraints and i is highest subscript such that bi<0 since in the given problem there are 3 constraints we have m=3 and since b1<0 is the only bi which is less than 0 so we get i=1.
linear programming: where is i and m coming from in step5, from the second image?The algorithm...
Q1. (Basic Concept of the Simplex Procedure) (3 marks) This question is about the "Pivoting" step in the Simplex algorithm procedure. The step updates the Simplex tableau by pivoting on the intersection of the entering-variable column and the leaving variable row, i.e. perform EROs on the tableau to get a 1 in the pivot position, and 0s above and below it. We know that one ERO type is "Add a multiple of one row to another row." Consider that we...
Q1. (Basic Concept of the Simplex Procedure) (3 marks) This question is about the "Pivoting" step in the Simplex algorithm procedure. The step updates the Simplex tableau by pivoting on the intersection of the entering-variable column and the leaving variable row, i.e. perform EROs on the tableau to get a 1 in the pivot position, and 0s above and below it. We know that one ERO type is "Add a multiple of one row to another row." Consider that we...
Q1. (Basic Concept of the Simplex Procedure) (3 marks) This question is about the "Pivoting" step in the Simplex algorithm procedure. The step updates the Simplex tableau by pivoting on the intersection of the entering-variable column and the leaving variable row, i.e. perform EROs on the tableau to get a 1 in the pivot position, and 0s above and below it. We know that one ERO type is "Add a multiple of one row to another row." Consider that we...
1. Solving the linear programming problem Maximize z 3r1 2r2 3, subject to the constraints using the simplex algorithm gave the final tableau T4 T5 #210 1-1/4 3/8-1/812 0 0 23/4 3/8 7/8 10 (a) (3 points) Add the constraint -221 to the final tableau and use the dual simplex algorithm to find a new optimal solution. (b) (3 points) After adding the constraint of Part (a), what happens to the optimal solution if we add the fourth constraint 2+...
2. Consider the linear programm (a) Fill in the initial tableau below in order to start the Big-M Method tableau by performing one pivot operation. (6) The first tableau below is the tableau just before the optimal tableau, and the second one oorresponds to the optimal tableau. Fill in the missing entries for the second one. 1 7 56 M15 25 01 3/2 2 0 0 1/2 0 15/2 #310 0 5/2-1 o 1-1/2 0133/2 a1 a rhs (i) Exhibit...
Question 1 - Revised Simplex Algorithm 10 marks Suppose we are solving the following linear programming problem Subject to 8x1 + 12x2 + x3 15x2 + x4 3x1 + 6x2 + X5 -120 60 = 48 x1,x2,x3, x4,x5 2 0 Assume we have a current basis of x2,xz, x5. Demonstrate your understanding of the steps of the Revised Simplex Algorithm by answering the following: a) What is the basic feasible solution at this stage? What is the value of the...
28.If a linear program is in standard maximum form, which of the following can be a constraint? 3x+5ys-5 x+y-4 7x+12y 2 0 2x-4ys9 4x-8y 2 1 ONone of the above. 29.A certain number of steps of the simplex method results in the following simplex tableau. 0 3 20 0 1 0 0 0 2 7 0 1 0 13 4 0 0 5 8 0 0 20 0 0 1 2 3 0 1 93 What is the next step...
i need help solving the remaining part of this problem which is letter D ments MATH135-82N-Summer-2019 Homework: Module 03 Homework B (6. Score: 0.67 of 1 pt 12 of 18 (13 S K 6.2.5 nts Consider the simplex tableau given below. X X2 S2 P 4 1 0 3 2 0 3 0 32 -6 -5 0 0 0 1 (A) The pivot element is located in column 1 and row (B) The entering variable is x,- ng (C) The...
The following is a Linear Programming problem: Suppose, I = {set of locations for establishing a hospital} = {1, 2, 3, 4, 5, 6, 7} xi is a decision variable which equals 1 if a hospital is set up at location i; otherwise, xi = 0. The constraint given is that location 3 can not be selected unless both locations 6 and 7 are selected. According to the course tutor, the proper formulation of this constraint is - 2x3 <...
This is question 5.3-5 from Introduction to Operations Research (Hillier). Relevant text: Consider the following problem. Maximize Z= cixi + c2x2 + C3X3 subject to x1 + 2x2 + x3 = b 2x1 + x2 + 3x3 = 2b and x 20, X220, X2 > 0. Note that values have not been assigned to the coefficients in the objective function (C1, C2, C3). and that the only specification for the right-hand side of the functional constraints is that the second...