Lesson 4D.2.1
4D.2.1 The Hungarian algorithm for allocation problems Quiz: Pearson Edexcel Further Maths, Unit 41
20 questions
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Lesson 4D.2.1, The Hungarian algorithm for allocation problems: 20 multiple choice questions for the Pearson Edexcel Further Maths (9FM0), Unit 41: Allocation (assignment) problems, written with Revision Ninja.
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The 20 questions
-
What is the first step of the Hungarian algorithm for a minimising allocation problem?
- Dummy allocation
- Maximum matching
- Column addition
- Row reduction
-
What is the second main step of the Hungarian algorithm after row reduction?
- Line covering
- Matrix expansion
- Column reduction
- Row reduction
-
What do covering lines test in the Hungarian algorithm?
- Unimodularity
- Maximum profit
- Feasibility
- Optimality
-
When using covering lines in the Hungarian algorithm, when is an optimal allocation reached?
- Lines exceed matrix size
- Lines equal zero
- Lines equal total rows
- Lines equal matrix size
-
How is a profit matrix converted to a cost matrix for the Hungarian algorithm?
- Reciprocal of each value
- Add to minimum
- Multiply by minus one
- Subtract from maximum
-
What is the purpose of a dummy row or column?
- Eliminate large entries
- Remove negative values
- Make matrix square
- Reduce total cost
-
In the Hungarian method, what is subtracted from row 1 of the cost matrix [[4, 2, 8], [3, 9, 5], [6, 4, 7]] during row reduction?
- 2
- 8
- 6
- 4
-
After row reduction the second row is [0, 6, 2]. What is the entry in row 2, column 2 of the reduced matrix?
- 3
- 2
- 6
- 9
-
After row reduction the matrix is [[2, 0, 6], [0, 6, 2], [2, 0, 3]]. What is the smallest entry in column 3, which is subtracted in column reduction?
- 2
- 6
- 0
- 3
-
After column reduction, the zeros of the matrix lie at which cells?
- (1, 2), (2, 1), (2, 3) and (3, 2)
- (1, 1), (2, 2) and (3, 3)
- (1, 2), (2, 1) and (3, 2) only
- (1, 3), (2, 1), (3, 2) and (3, 3)
-
In the matrix with zeros at (1, 2), (2, 1), (2, 3) and (3, 2), what is the minimum number of lines needed to cover all the zeros?
- 3
- 4
- 2
- 1
-
The smallest uncovered entry in that matrix is 1. After adjusting the matrix, what is the new value at row 2, column 2?
- 8
- 7
- 5
- 6
-
In the optimal allocation of the cost matrix [[4, 2, 8], [3, 9, 5], [6, 4, 7]], which column is assigned to row 3?
- Column 2
- Column 1
- Either column 1 or column 2
- Column 3
-
What is the minimum total cost for the cost matrix [[4, 2, 8], [3, 9, 5], [6, 4, 7]]?
- 20
- 15
- 13
- 12
-
A profit matrix has largest value 9. What is the converted cost for an entry of 4?
- 4
- -4
- 5
- 13
-
What happens when covering lines are fewer than the matrix size?
- Add a dummy row
- Adjust uncovered entries
- Reset all reductions
- Stop the algorithm
-
What should the entries in a dummy row be?
- Ones
- Matrix minimums
- Matrix maximums
- Zeros
-
Why does solving a transformed profit matrix using the minimum-cost Hungarian method still maximise profit?
- Minimising transformed costs
- Maximising total revenues
- Inverting the allocation matrix
- Scaling all profits up
-
What type of problem must the Hungarian algorithm be directly applied to?
- Maximisation
- Minimisation
- Optimisation
- Distribution
-
How many possible allocations are there for a 3 by 3 assignment problem?
- 3
- 27
- 9
- 6
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