Preview

Operation Research

Good Essays
Open Document
Open Document
412 Words
Grammar
Grammar
Plagiarism
Plagiarism
Writing
Writing
Score
Score
Operation Research
1) What is the meant by the term ‘feasible region’? Its feasible region is a convex polyhedron, which is a set defined as the intersection of finitely many half spaces, each of which is defined by a linear inequality.

2) What is an infeasible solution? How is this condition recognized in simplex method?
A infeasible solution is one that does not satisfies all linear and non-linear constraints. When the solution is along with the artificial variable even when the aolution is optimized then its is a infeasible solution

3) What is an unbounded solution? How is this condition recognized in simplex method?
A linear program is unbounded if the optimal solution is unbounded, i.e. it is either ∞ or −∞.
In simplex when the entry values are negative its solution is unbounded.

4. Define slack and surplus variables in a LPP? a slack variable is a variable that is added to an inequality constraint to transform it to an equality. In Linear programming a surplus variable is a variable which is subtracted from a constraint to turn the inequality into an equation.
This is required to turn an inequality into an equality where a linear combination of variables is greater than or equal to a given constant in the former..

5.What are the artificial variables? One type of variable introduced in a linear program model in order to find an initial basic feasible solution; an artificial variable is used for equality constraints and for greater-than or equal inequality constraints.
6.Define optimal basic feasible solution?
An optimal solution to a linear program is a feasible solution with the largest objective function value (for a maximization problem).
The value of the objective function for the optimal solution is said to be the value of the linear program.
7.Define the dual of a LPP?
Linear programming in which the maximum and minimum number are the same number. 8.What is the principle of duality in LPP? the duality principle states that

You May Also Find These Documents Helpful

  • Satisfactory Essays

    Pt1420 Unit 4

    • 4123 Words
    • 17 Pages

    For obtaining the solution of dual of the following Linear Programming Problem, how many slack and/or surplus, and artificial variables are required?…

    • 4123 Words
    • 17 Pages
    Satisfactory Essays
  • Good Essays

    Nt1310 Unit 7-1

    • 1558 Words
    • 7 Pages

    The feasible, or attainable, set represents all portfolios that can be constructed from a given set of stocks. This set is only efficient for part of its combinations.…

    • 1558 Words
    • 7 Pages
    Good Essays
  • Satisfactory Essays

    In Elementary Algebra we have learned how to solve systems of equations. The solution to a system of linear equations is the point where the graphs of the lines intersect. The solution to a system of linear inequalities is every point in a region of the graph where the inequalities overlap, rather than the point of intersection of the lines (Slavin, 2001).…

    • 643 Words
    • 3 Pages
    Satisfactory Essays
  • Satisfactory Essays

    Busn312 Hw3A

    • 727 Words
    • 3 Pages

    Linear programming problems have a.|linear objective functions, non-linear constraints.| b.|non-linear objective functions, non-linear constraints.| c.|non-linear objective functions, linear constraints.| d.|linear objective functions, linear constraints.| ____C 7. The first step in formulating a linear programming problem is a.|Identify any upper or lower bounds on the decision variables.| b.|State the constraints as linear combinations of the decision variables.| c.|Understand the problem.| d.|Identify the decision variables.| e.|State the objective…

    • 727 Words
    • 3 Pages
    Satisfactory Essays
  • Better Essays

    Imp 2 Cookies Cover Letter

    • 1219 Words
    • 5 Pages

    In these problems, we had to identify variables, constraints, and make equations that expressed them. In most cases, the variables represent a value for a certain item, for example in the unit problem, the variable, p, could represent the number of dozens of…

    • 1219 Words
    • 5 Pages
    Better Essays
  • Powerful Essays

    Freaudian Analysis

    • 3380 Words
    • 14 Pages

    1. Consider the following linear programming problem: Maximize Z = 400 x + 100y Subject to 8 x + 10y ≤ 80 2 x + 6y ≤ 36 x≤ 6 x, y ≥ 0…

    • 3380 Words
    • 14 Pages
    Powerful Essays
  • Good Essays

    7. When using linear programming model to solve the “diet” problem, the objective is generally to maximize profit.…

    • 894 Words
    • 6 Pages
    Good Essays
  • Good Essays

    For example, let’s say the supply constraint [pic]+ [pic]+ [pic] = 35 represents the number of barrels transported from the plant Kingsport to all the three waste disposal sites. The amount transported from Kingsport is limited to the 35 barrels available.…

    • 1325 Words
    • 6 Pages
    Good Essays
  • Good Essays

    Question 1 Graphical solution (16 marks) For a linear programming model given below: Decision variables x1  Units of product 1 to produce. x2 – Units of product 2 to produce. Objective function Maximize 4.0x1 + 3.6x2 Constraints Constraint 1: 11x1 + 5x2 > 55 Constraint 2: 3x1 + 4x2 < 36 Constraint 3: 4x1 – 9x2 < 0 Nonnegativity: x1, x2 >= 0 Solve this linear programming model by using the graphical approach (Graph paper is provided on the next page). For your graphical solution,  Label the axes.  Draw and label each constraint. Show your procedure of drawing Constraint 3 only.  For each constraint line, determine and label which side is feasible. Briefly explain how to determine the feasible side for Constraint 3 only.  Shade and label the feasible region.  Identify all feasible corner points and determine the coordinates of each feasible corner point. Show only your calculations for the corner point determined by Constraints 1 and 2.  Determine the optimal solution and objective function value.  For all calculations in this question, please…

    • 2847 Words
    • 12 Pages
    Good Essays
  • Good Essays

    MATH%$)

    • 535 Words
    • 4 Pages

    7. For a maximization integer linear programming problem, feasible solution is ensured by rounding _______ non-integer solution values if all of the constraints are less-than -or equal- to type.…

    • 535 Words
    • 4 Pages
    Good Essays
  • Satisfactory Essays

    Linear programming, the ability to find the smallest or biggest possible value under some constraints, is used in a typical optimization problem. In business this method helps to optimize solutions for politics, transportation scheduling, hospital stuffing, purchasing and many other problems. In biotechnology the same equation is used to optimize cell-factories, enabling the production of drugs, plastics, or any desired products.…

    • 501 Words
    • 3 Pages
    Satisfactory Essays
  • Powerful Essays

    Linear Programming

    • 22881 Words
    • 92 Pages

    In Chapter 7 we looked at examples of linear programming (LP) problems that contained two…

    • 22881 Words
    • 92 Pages
    Powerful Essays
  • Powerful Essays

    Linear Programming

    • 1683 Words
    • 7 Pages

    Beginning of linear programming was initiated in 1939 by the Soviet mathematician and economist Kantorovich in his paper "Mathematical methods of organizing and planning production." The appearance of this work has opened a new stage in the application of mathematics in economics. Ten years later American mathematician George Dantzig developed an efficient method for solving this class of problems - the simplex method. The general idea of the simplex method to solve the LPP is as follows:…

    • 1683 Words
    • 7 Pages
    Powerful Essays
  • Powerful Essays

    Linear programming (LP) model is a significant and popular used model of operational research technique. It helps to optimize the objective value with constraints. LP model have three essential assumptions when use this model to solve problem. Firstly, proportionality and additively, which means that the objective function and the functions in constraints are all linear. In other words, it means the equation of objective and constraints are linear equation. Secondly, LP model assume that non-integer values of the decision variables are meaningful for the problem addressed, which indicate that LP model have divisibility. Finally, LP model assume that the parameters of the model are all known constants. In this report, Microsoft Office Excel and Xpress are implemented in order to solve the problem.…

    • 1341 Words
    • 6 Pages
    Powerful Essays
  • Powerful Essays

    Maths Bigm Method

    • 2291 Words
    • 10 Pages

    In the previous discussions of the Simplex algorithm I have seen that the method must start with a basic feasible solution. In my examples so far, I have looked at problems that, when put into standard LP form, conveniently have an all slack starting solution. An all slack solution is only a possibility when all of the constraints in the problem have or = constraints, a starting basic feasible solution may not be readily apparent. The Big M method is a version of the Simplex Algorithm that first finds a basic feasible solution by adding "artificial" variables to the problem. The objective function of the original LP must, of course, be modified to ensure that the artificial variables are all equal to 0 at the conclusion of the simplex algorithm. Steps 1. Modify the constraints so that the RHS of each constraint is nonnegative (This requires that each constraint with a negative RHS be multiplied by 1. Remember that if you multiply an inequality by any negative number, the direction of the inequality is reversed!). After modification, identify each constraint as a , or = constraint. 2. Convert each inequality constraint to standard form (If constraint i is a < constraint, we add a…

    • 2291 Words
    • 10 Pages
    Powerful Essays