feat: increase data points and sample sizes for complexity analysis

- Increased test sizes from 6 to 12 data points: [5, 10, 20, 30, 40, 50, 60, 80, 100, 120, 150, 200]
- Doubled max size from 100x100 to 200x200 matrices
- Increased iterations from 10 to 20 for more stable averages

Co-authored-by: samueltardieu <44656+samueltardieu@users.noreply.github.com>

Author: Copilot

examples/kuhn_munkres_complexity.rs

@@ -11,10 +11,10 @@ use rand_xorshift::XorShiftRng;
 use std::time::Instant;
 
 /// Test sizes to use for complexity analysis
-const TEST_SIZES: &[usize] = &[5, 10, 20, 40, 80, 100];
+const TEST_SIZES: &[usize] = &[5, 10, 20, 30, 40, 50, 60, 80, 100, 120, 150, 200];
 
 /// Number of iterations to average for each size
-const ITERATIONS: usize = 10;
+const ITERATIONS: usize = 20;
 
 /// Structure to hold timing results for a specific size
 struct TimingResult {