How to resolve the algorithm Dinesman's multiple-dwelling problem step by step in the 11l programming language
How to resolve the algorithm Dinesman's multiple-dwelling problem step by step in the 11l programming language
Table of Contents
Problem Statement
Solve Dinesman's multiple dwelling problem but in a way that most naturally follows the problem statement given below. Solutions are allowed (but not required) to parse and interpret the problem text, but should remain flexible and should state what changes to the problem text are allowed. Flexibility and ease of expression are valued. Examples may be be split into "setup", "problem statement", and "output" sections where the ease and naturalness of stating the problem and getting an answer, as well as the ease and flexibility of modifying the problem are the primary concerns. Example output should be shown here, as well as any comments on the examples flexibility.
Baker, Cooper, Fletcher, Miller, and Smith live on different floors of an apartment house that contains only five floors.
Where does everyone live?
Let's start with the solution:
Step by Step solution about How to resolve the algorithm Dinesman's multiple-dwelling problem step by step in the 11l programming language
Source code in the 11l programming language
-V
BAKER = 0
COOPER = 1
FLETCHER = 2
MILLER = 3
SMITH = 4
names = [‘Baker’, ‘Cooper’, ‘Fletcher’, ‘Miller’, ‘Smith’]
V floors = Array(1..5)
L
I floors[BAKER] != 5 &
floors[COOPER] != 1 &
floors[FLETCHER] !C (1, 5) &
floors[MILLER] > floors[COOPER] &
abs(floors[SMITH] - floors[FLETCHER]) != 1 &
abs(floors[FLETCHER] - floors[COOPER]) != 1
L(floor) floors
print(names[L.index]‘ lives on floor ’floor)
L.break
I !floors.next_permutation()
print(‘No solution found.’)
L.break
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