1039. Minimum Score Triangulation of Polygon #2230
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Topics: You have a convex Polygon triangulation is a process where you divide a polygon into a set of triangles and the vertices of each triangle must also be vertices of the original polygon. Note that no other shapes other than triangles are allowed in the division. This process will result in You will triangulate the polygon. For each triangle, the weight of that triangle is the product of the values at its vertices. The total score of the triangulation is the sum of these weights over all Return the minimum possible score that you can achieve with some triangulation of the polygon. Example 1:
Example 2:
Example 3:
Constraints:
Hint:
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We need to find the minimum possible score of triangulating a convex polygon where the score is the sum of the products of the vertices of each triangle in the triangulation. The solution involves using dynamic programming to efficiently compute the minimum score by considering all possible ways to split the polygon into smaller subproblems. Approach
Let's implement this solution in PHP: 1039. Minimum Score Triangulation of Polygon <?php
/**
* @param Integer[] $values
* @return Integer
*/
function minScoreTriangulation($values) {
$n = count($values);
$dp = array_fill(0, $n, array_fill(0, $n, 0));
for ($length = 3; $length <= $n; $length++) {
for ($i = 0; $i <= $n - $length; $i++) {
$j = $i + $length - 1;
$dp[$i][$j] = PHP_INT_MAX;
for ($k = $i + 1; $k < $j; $k++) {
$score = $dp[$i][$k] + $dp[$k][$j] + $values[$i] * $values[$k] * $values[$j];
if ($score < $dp[$i][$j]) {
$dp[$i][$j] = $score;
}
}
}
}
return $dp[0][$n - 1];
}
// Test cases
echo minScoreTriangulation([1,2,3]) . "\n"; // Output: 6
echo minScoreTriangulation([3,7,4,5]) . "\n"; // Output: 144
echo minScoreTriangulation([1,3,1,4,1,5]) . "\n"; // Output: 13
?> Explanation:
This approach efficiently computes the minimum score by breaking down the problem into smaller subproblems and combining their solutions, leveraging dynamic programming to avoid redundant calculations. The time complexity is O(n³) due to the triple nested loops, which is feasible given the constraint |
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We need to find the minimum possible score of triangulating a convex polygon where the score is the sum of the products of the vertices of each triangle in the triangulation. The solution involves using dynamic programming to efficiently compute the minimum score by considering all possible ways to split the polygon into smaller subproblems.
Approach
dp[i][j]
represents the minimum score for the polygon formed fro…