assignment model

For making assignment using Hungarian method the objective function should be in

• Maximization

• minimization

• any

In Hungarian method, the matrix should be

• Rectangular

• square

• non –square

• none of these

When the given is non- square then it will transformed into

• Rectangular

• square

• linear

• none of these

The maximization matrix can be converted into minimization by subtracting

• Smallest element

• largest number

• smallest element from each row

• smallest element of each column

To reduce the row the smallest element will be ______________ from each row

• Added

• multiplied

• subtracted

• divided

To reduce the column the smallest element will be ______________ from each row

• Added

• multiplied

• subtracted

• divided

To transform a non-square matrix to square ___________ will be added

• Dummy row/column

• slack variables

• artificial variables

• surplus variables

While making an assignment all the 0 s in that corresponding row and column will be

• Assigned

• added

• crossed

• multiplied

In the process of iterations, ___________ uncovered value will be added/subtracted

• Maximum

• negative

• positive

• minimum

The minimum value will ____________ to the intersection points

• Added

• multiplied

• subtracted

• divided