The following transportation problem: The above solution of a given transportation problem is (A) infeasible solution (B) optimum solution (C) non-optimum solution (D) unbounded solution

The following transportation problem: 

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The above solution of a given transportation problem is (A) infeasible solution (B) optimum solution (C) non-optimum solution (D) unbounded solution

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Answer :

(B) optimum solution
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Related questions

Consider the following transportation problem: Image The initial basic feasible solution of the above transportation problem using Vogel’s Approximation Method(VAM) is given below: The solution of the above problem: (A) is degenerate solution (B) is optimum solution (C) needs to improve (D) is infeasible solution

Description : Consider the following transportation problem: The initial basic feasible solution of the above transportation problem using Vogel's Approximation Method(VAM) is given below: The solution of the ... degenerate solution (B) is optimum solution (C) needs to improve (D) is infeasible solution

Last Answer : (B) is optimum solution

A basic feasible solution of a linear programming problem is said to be ............... if at least one of the basic variable is zero. (A) degenerate (B) non-degenerate (C) infeasible (D) unbounded

Description : A basic feasible solution of a linear programming problem is said to be ............... if at least one of the basic variable is zero. (A) degenerate (B) non-degenerate (C) infeasible (D) unbounded

Last Answer : (A) degenerate 

A basic feasible solution to a m-origin, n-destination transportation problem is said to be ................... if the number of positive allocations are less than m + n – 1. (A) degenerate (B) non-degenerate (C) unbounded (D) unbalanced

Description : A basic feasible solution to a m-origin, n-destination transportation problem is said to be ................... if the number of positive allocations are less than m + n – 1. (A) degenerate (B) non-degenerate (C) unbounded (D) unbalanced 

Last Answer : (A) degenerate

When at least one of the basic variables is zero, then the basic feasible solution to a Linear Programming Problem is said to be .............................. a. Infeasible b. Unbounded c. Degenerate d. Non-degenerate

Description : When at least one of the basic variables is zero, then the basic feasible solution to a Linear Programming Problem is said to be .............................. a. Infeasible b. Unbounded c. Degenerate d. Non-degenerate

Last Answer : c. Degenerate

55. If two constraints do not intersect in the positive quadrant of the graph, then a. The problem is infeasible b. The solution is unbounded c. One of the constraints is redundant d. None of the above

Description : 55. If two constraints do not intersect in the positive quadrant of the graph, then a. The problem is infeasible b. The solution is unbounded c. One of the constraints is redundant d. None of the above

Last Answer : a. The problem is infeasible

If the feasible region of a linear programming problem is empty, the solution is .................... a. Unbounded b. Infeasible c. Infeasible d. Alternative

Description : If the feasible region of a linear programming problem is empty, the solution is .................... a. Unbounded b. Infeasible c. Infeasible d. Alternative

Last Answer : b. Infeasible

If in a LPP, the solution of a variable can be infinity large without violating the constraints, the solution is ___ a. Infeasible b. Unbounded c. Alternative d. None of the above

Description : If in a LPP, the solution of a variable can be infinity large without violating the constraints, the solution is ___ a. Infeasible b. Unbounded c. Alternative d. None of the above

Last Answer : b. Unbounded

64. If the feasible region of a LPP is empty, the solution is _______ a. Infeasible b. Unbounded c. Alternative d. None of the above

Description : 64. If the feasible region of a LPP is empty, the solution is _______ a. Infeasible b. Unbounded c. Alternative d. None of the above

Last Answer : a. Infeasible

58. While solving a LP model graphically, the area bounded by the constraints is called a. Feasible region b. Infeasible region c. Unbounded solution d. None of the above

Description : 58. While solving a LP model graphically, the area bounded by the constraints is called a. Feasible region b. Infeasible region c. Unbounded solution d. None of the above

Last Answer : a. Feasible region

52. If an iso-profit yielding the optimal solution coincides with a constraint line, then a. The solution is unbounded b. The solution is infeasible c. The constraint which coincides is redundant d. None of the above

Description : 52. If an iso-profit yielding the optimal solution coincides with a constraint line, then a. The solution is unbounded b. The solution is infeasible c. The constraint which coincides is redundant d. None of the above

Last Answer : d. None of the above

In an LPP, if the solution of a variable can be made infinitely large without violating the constraints, then the solution is .............................. a. Infeasible b. Alternative c. Unbounded d. Unique

Description : In an LPP, if the solution of a variable can be made infinitely large without violating the constraints, then the solution is .............................. a. Infeasible b. Alternative c. Unbounded d. Unique

Last Answer : c. Unbounded

If there are more than one optimal solutions for the decision variables, the solution is ........... a. Infeasible b. Unbounded c. Alternative d. None of these

Description : If there are more than one optimal solutions for the decision variables, the solution is ........... a. Infeasible b. Unbounded c. Alternative d. None of these

Last Answer : c. Alternative

If the primal Linear Programming problem has unbounded solution, then it’s dual problem will have (A) feasible solution (B) alternative solution (C) no feasible solution at all (D) no bounded solution at all

Description : If the primal Linear Programming problem has unbounded solution, then it’s dual problem will have (A) feasible solution (B) alternative solution (C) no feasible solution at all (D) no bounded solution at all 

Last Answer : (C) no feasible solution at all

While solving a LPP graphically, the area bounded by constraints is called ................. a. Feasible region b. Infeasible region c. Unbounded region d. None of these

Description : While solving a LPP graphically, the area bounded by constraints is called ................. a. Feasible region b. Infeasible region c. Unbounded region d. None of these

Last Answer : a. Feasible region

At any iteration of simplex method, if Δj (Zj – Cj) corresponding to any nonbasic variable Xj is obtained as zero, the solution under the test is (A) Degenerate solution (B) Unbounded solution (C) Alternative solution (D) Optimal solution

Description : At any iteration of simplex method, if Δj (Zj – Cj) corresponding to any nonbasic variable Xj is obtained as zero, the solution under the test is (A) Degenerate solution (B) Unbounded solution (C) Alternative solution (D) Optimal solution

Last Answer : (C) Alternative solution

61. If a non-redundant constraint is removed from an LP problem then a. Feasible region will become larger b. Feasible region will become smaller c. Solution will become infeasible d. None of the above

Description : 61. If a non-redundant constraint is removed from an LP problem then a. Feasible region will become larger b. Feasible region will become smaller c. Solution will become infeasible d. None of the above

Last Answer : a. Feasible region will become larger

The total transportation cost in an initial basic feasible solution to the following transportation problem using Vogel’s Approximation method is (A) 76 (B) 80 (C) 90 (D) 96

Description : The total transportation cost in an initial basic feasible solution to the following transportation problem using Vogel’s Approximation method is  (A) 76 (B) 80 (C) 90 (D) 96

Last Answer : (B) 80

Consider the following transportation problem : The transportation cost in the initial basic feasible solution of the above transportation problem using Vogel’s Approximation method is : (A) 1450 (B) 1465 (C) 1480 (D) 1520

Description : Consider the following transportation problem :  The transportation cost in the initial basic feasible solution of the above transportation problem using Vogel’s Approximation method is : (A) 1450 (B) 1465 (C) 1480 (D) 1520

Last Answer : (B) 1465

62. If one of the constraint of an equation in an LP problem has an unbounded solution, then a. Solution to such LP problem must be degenerate b. Feasible region should have a line segment c. Alternative solutions exists d. None of the above

Description : 62. If one of the constraint of an equation in an LP problem has an unbounded solution, then a. Solution to such LP problem must be degenerate b. Feasible region should have a line segment c. Alternative solutions exists d. None of the above

Last Answer : b. Feasible region should have a line segment

57. The solution space(region) of an LP problem is unbounded due to a. An incorrect formulation of the LP model b. Objective function is unbounded c. Neither a nor b d. Both a & b

Description : 57. The solution space(region) of an LP problem is unbounded due to a. An incorrect formulation of the LP model b. Objective function is unbounded c. Neither a nor b d. Both a & b

Last Answer : b. Objective function is unbounded c. Neither a nor b

. In simplex algorithm, which method is used to deal with the situation where an infeasible starting basic solution is given? a. Slack variable b. Simplex method c. Big M Method d. None of the above

Description : . In simplex algorithm, which method is used to deal with the situation where an infeasible starting basic solution is given? a. Slack variable b. Simplex method c. Big M Method d. None of the above

Last Answer : b. Simplex method

When a particular assignment in the given problem is not possible or restricted as a condition, it is called a __ problem a. Infeasible b. Degenerate c. Unbalanced d. Prohibited

Description : When a particular assignment in the given problem is not possible or restricted as a condition, it is called a __ problem a. Infeasible b. Degenerate c. Unbalanced d. Prohibited

Last Answer : d. Prohibited

For the implementation of a paging scheme, suppose the average process size be x bytes, the page size be y bytes, and each page entry requires z bytes. The optimum page size that minimizes the total overhead due to the page table and the internal fragmentation loss is given by (A) x/2 (B) xz/2 (C) √2xz (D) (√xz)/2

Description : For the implementation of a paging scheme, suppose the average process size be x bytes, the page size be y bytes, and each page entry requires z bytes. The optimum page size that minimizes the total overhead due to the page ... fragmentation loss is given by (A) x/2 (B) xz/2 (C) √2xz (D) (√xz)/2

Last Answer : (C) √2xz 

Operations Research techniques help to find ................... solution. a. Feasible solution b. Infeasible solution c. Optimal solution d. None of these

Description : Operations Research techniques help to find ................... solution. a. Feasible solution b. Infeasible solution c. Optimal solution d. None of these

Last Answer : c. Optimal solution

54. A constraint in an LP model becomes redundant because a. Two iso-profits may be parallel to each other b. The solution is unbounded c. This constraint is not satisfied by the solution values d. None of the above

Description : 54. A constraint in an LP model becomes redundant because a. Two iso-profits may be parallel to each other b. The solution is unbounded c. This constraint is not satisfied by the solution values d. None of the above

Last Answer : d. None of the above

If in an assignment problem, number of rows is not equal to number of columns then a. Maximization problem b. Problem is unbalanced c. Problem is degenerate d. Optimum solution is not possible

Description : If in an assignment problem, number of rows is not equal to number of columns then a. Maximization problem b. Problem is unbalanced c. Problem is degenerate d. Optimum solution is not possible

Last Answer : c. Problem is degenerate

50. Which of the following statements is true with respect to the optimal solution of an LP problem? a. Every LP problem has an optimal solution b. Optimal solution of an LP problem always occurs at an extreme point c. At optimum solution all resources are completely used d. If an optimal solution exists, there will always be at least one at a corner

Description : 50. Which of the following statements is true with respect to the optimal solution of an LP problem? a. Every LP problem has an optimal solution b. Optimal solution of an LP problem always occurs ... completely used d. If an optimal solution exists, there will always be at least one at a corner

Last Answer : d. If an optimal solution exists, there will always be at least one at a corner

With respect to a loop in the transportation table, which one of the following is not correct? (1) Every loop has an odd no. of cells and at least 5. (2) Closed loops may or may not b square in shape. (3) All the cells in the loop that have a plus or minus sign, except the starting cell, must be occupied cells. (4) Every loop has an even no. of cells and at least four.

Description : With respect to a loop in the transportation table, which one of the following is not correct? (1) Every loop has an odd no. of cells and at least 5. (2) Closed loops may or may not b square in ... starting cell, must be occupied cells. (4) Every loop has an even no. of cells and at least four.

Last Answer : Every loop has an odd no. of cells and at least 5.

The initial basic feasible solution of the following transportion problem : Image then the minimum cost is (A) 76 (B) 78 (C) 80 (D) 82

Description : The initial basic feasible solution of the following transportion problem : then the minimum cost is (A) 76 (B) 78 (C) 80 (D) 82

Last Answer : (A) 76

Which of the following special cases does not require reformulation of the problem in order to obtain a solution ? (A) Alternate optimality (B) Infeasibility (C) Unboundedness (D) All of the above

Description : Which of the following special cases does not require reformulation of the problem in order to obtain a solution ? (A) Alternate optimality (B) Infeasibility (C) Unboundedness (D) All of the above

Last Answer : (A) Alternate optimality 

Which of the following conditions does not hold good for a solution to a critical section problem ? (A) No assumptions may be made about speeds or the number of CPUs. (B) No two processes may be simultaneously inside their critical sections. (C) Processes running outside its critical section may block other processes. (D) Processes do not wait forever to enter its critical section.

Description : Which of the following conditions does not hold good for a solution to a critical section problem ? (A) No assumptions may be made about speeds or the number of CPUs. (B) No two processes ... critical section may block other processes. (D) Processes do not wait forever to enter its critical section.

Last Answer : (C) Processes running outside its critical section may block other processes. 

The region of feasible solution of a linear programming problem has a ............... property in geometry, provided the feasible solution of the problem exists. (A) concavity (B) convexity (C) quadratic (D) polyhedron

Description : The region of feasible solution of a linear programming problem has a ............... property in geometry, provided the feasible solution of the problem exists. (A) concavity (B) convexity (C) quadratic (D) polyhedron

Last Answer : (B) convexity

Initial feasible solution to a transportation problem arrived through which of the following method is very near to the optimal solution: a. NWCM b. LCM c. VAM d. None of these

Description : Initial feasible solution to a transportation problem arrived through which of the following method is very near to the optimal solution: a. NWCM b. LCM c. VAM d. None of these

Last Answer : c. VAM

For a minimisation Transportation Problem, the objective is to minimise: a. Profit b. Cost c. Solution d. None of these

Description : For a minimisation Transportation Problem, the objective is to minimise: a. Profit b. Cost c. Solution d. None of these

Last Answer : b. Cost

Initial feasible solution to a transportation Problem can be found out by ......................... a. VAM b. MODI Method c. Both a and b d. None of these

Description : Initial feasible solution to a transportation Problem can be found out by ......................... a. VAM b. MODI Method c. Both a and b d. None of these

Last Answer : a. VAM

The solution to a transportation problem with ‘m’ rows and ‘n’ columns is feasible if the number of positive allocations are: a. m + n b. m x n c. m +n – 1 d. m +n + 1

Description : The solution to a transportation problem with ‘m’ rows and ‘n’ columns is feasible if the number of positive allocations are: a. m + n b. m x n c. m +n – 1 d. m +n + 1

Last Answer : c. m +n – 1

The dummy source/destination in a transportation problem is added to ........................ a. Satisfy rim constraints b. Prevent solution from becoming degenerate c. Ensure total cost does not exceed a limit d. None of the above

Description : The dummy source/destination in a transportation problem is added to ........................ a. Satisfy rim constraints b. Prevent solution from becoming degenerate c. Ensure total cost does not exceed a limit d. None of the above

Last Answer : a. Satisfy rim constraints

The asymptotic upper bound solution of the recurrence relation given by T(n)= 2T(n/2)+n/log n is: (1) O(n2) (2) O(n log n) (3) O(n log log n) (4) O(log log n)

Description : The asymptotic upper bound solution of the recurrence relation given by T(n)= 2T(n/2)+n/log n is: (1) O(n2) (2) O(n log n) (3) O(n log log n) (4) O(log log n)

Last Answer : (3) O(n log log n) 

Consider a single perception with weights as given in the following figure: The above perception can solve (A) OR problem (B) AND problem (C) XOR problem (D) All of the above

Description : Consider a single perception with weights as given in the following figure: The above perception can solve (A) OR problem (B) AND problem (C) XOR problem (D) All of the above

Last Answer : (B) AND problem

Given the following statements : S1 : The subgraph-isomorphism problem takes two graphs G1 and G2 and asks whether G1 is a subgraph of G2. S2 : The set-partition problem takes as input a set S of numbers and asks whether the numbers can be partitioned into two sets A Image Which of the following is true ? (A) S1 is NP problem and S2 is P problem. (B) S1 is NP problem and S2 is NP problem. (C) S1 is P problem and S2 is P problem. (D) S1 is P problem and S2 is NP problem.

Description : Given the following statements :  S1 : The subgraph-isomorphism problem takes two graphs G1 and G2 and asks whether G1 is a subgraph of G2.  S2 : The set-partition problem takes as input a set S of numbers and ... S1 is P problem and S2 is P problem. (D) S1 is P problem and S2 is NP problem.

Last Answer : (B) S1 is NP problem and S2 is NP problem.

The given maximization assignment problem can be converted into a minimization problem by (A) subtracting each entry in a column from the maximum value in that column. (B) subtracting each entry in the table from the maximum value in that table. (C) adding each entry in a column from the maximum value in that column. (D) adding maximum value of the table to each entry in the table.

Description : The given maximization assignment problem can be converted into a minimization problem by (A) subtracting each entry in a column from the maximum value in that column. (B) subtracting each entry in the table ... value in that column. (D) adding maximum value of the table to each entry in the table.

Last Answer : (B) subtracting each entry in the table from the maximum value in that table.

In constraint satisfaction problem, constraints can be stated as . (A) Arithmatic equations and inequalities that bind the values of variables (B) Arithmatic equations and inequalities that doesn’t bind any restriction over variables (C) Arithmatic equations that impose restrictions over variables (D) Arithmatic equations that discard constraints over the given variables

Description : In constraint satisfaction problem, constraints can be stated as . (A) Arithmatic equations and inequalities that bind the values of variables (B) Arithmatic equations and inequalities ... impose restrictions over variables (D) Arithmatic equations that discard constraints over the given variables

Last Answer : (A) Arithmatic equations and inequalities that bind the values of variables

Given a Non-deterministic Finite Automation (NFA) with states p and r as initial and final states respectively transition table as given below Image The minimum number of states required in Deterministic Finite Automation (DFA) equivalent to NFA is (A) 5 (B) 4 (C) 3 (D) 2

Description : Given a Non-deterministic Finite Automation (NFA) with states p and r as initial and final states respectively transition table as given below  The minimum number of states required in Deterministic Finite Automation (DFA) equivalent to NFA is (A) 5 (B) 4 (C) 3 (D) 2

Last Answer : (C) 3 

What are the main cons of hill-climbing search? a) Terminates at local optimum & Does not find optimum solution b) Terminates at global optimum & Does not find optimum solution c) Does not find optimum solution & Fail to find a solution

Description : What are the main cons of hill-climbing search? a) Terminates at local optimum & Does not find optimum solution b) Terminates at global optimum & Does not find optimum solution c) Does not find optimum solution & Fail to find a solution

Last Answer : a) Terminates at local optimum & Does not find optimum solution

What are the main cons of hill-climbing search? A : Terminates at local optimum & Does not find optimum solution B : Terminates at global optimum & Does not find optimum solution C : Does not find optimum solution & Fail to find a solution D : Fail to find a solution

Description : What are the main cons of hill-climbing search? A : Terminates at local optimum & Does not find optimum solution B : Terminates at global optimum & Does not find optimum solution C : Does not find optimum solution & Fail to find a solution D : Fail to find a solution

Last Answer : A : Terminates at local optimum & Does not find optimum solution