I\'m writing an algorithm to solve skyscrapers puzzles:
Skyscraper puzzles combine the row and column constraints of Sudoku with external clue values that re
Misha showed you the brute-force way. A much faster recursive algorithm can be made based on constraint propagation. Peter Norvig (head of Google Research) wrote an excellent article about how to use this technique to solve Sudoku with python. Read it and try to understand every detail, you will learn a lot, guaranteed. Since the skyscraper puzzle has a lot in common with Sudoku (without the 3X3 blocks, but with some extra constraints given by the numbers on the edge), you could probably steal a lot of his code.
You start, as with Sudoku, where each field has a list of all the possible numbers from 1..N. After that, you look at one horizontal/vertical line or edge clue at a time and remove illegal options. E.g. in a 5x5 case, an edge of 3 excludes 5 from the first two and 4 from the first squares. The constraint propagation should do the rest. Keep looping over edge constraints until they are fulfilled or you get stuck after cycling through all constraints. As shown by Norvig, you then start guessing and remove numbers in case of a contradiction.
In case of Sudoku, a given clue has to be processed only once, since once you assign a single number to one square (you remove all the other possibilities), all the information of the clue has been used. With the skyscrapers, however, you might have to apply a given clue several times until it is totally satisfied (e.g. when the complete line is solved).