Let $ d_n$ be the determinant of the $ n\times n$ matrix whose entries, from left to right and then from top to bottom, are $ \cos 1,\cos 2,\dots,\cos n^2.$ (For example, $ d_3 \equal{} \begin{vmatrix}\cos 1 & \cos2 & \cos3 \\
\cos4 & \cos5 & \cos 6 \\
\cos7 & \cos8 & \cos 9\end{vmatrix}.$ The argument of  $ \cos$  is always in radians, not degrees.)

Evaluate $ \lim_{n\to\infty}d_n.$
1. Consider the \( n \times n \) matrix \( A_n \) whose entries are \( \cos 1, \cos 2, \ldots, \cos n^2 \). We need to evaluate the limit of the determinant of this matrix as \( n \) approaches infinity, i.e., \( \lim_{n \to \infty} d_n \).

2. To understand the behavior of \( d_n \), we need to analyze the structure of the matrix \( A_n \). The entries of \( A_n \) are periodic with period \( 2\pi \), but they are not uniformly distributed. This irregularity suggests that the determinant might not have a simple closed form.

3. One approach to evaluate the limit is to consider the properties of the determinant and the behavior of the cosine function. The determinant of a matrix is zero if the rows (or columns) are linearly dependent. 

4. For large \( n \), the entries \( \cos 1, \cos 2, \ldots, \cos n^2 \) will cover the interval \([-1, 1]\) densely due to the periodic nature of the cosine function. This implies that for sufficiently large \( n \), the rows (or columns) of \( A_n \) will become nearly linearly dependent.

5. To make this more rigorous, consider the fact that the cosine function can take values arbitrarily close to each other for different arguments. For example, \( \cos(k) \) and \( \cos(k + 2\pi m) \) are equal for any integer \( m \). As \( n \) increases, the likelihood of having rows (or columns) that are nearly identical increases.

6. If two rows (or columns) of a matrix are nearly identical, the determinant of the matrix will be close to zero. This is because the determinant is a measure of the volume spanned by the row (or column) vectors, and nearly identical vectors span a very small volume.

7. Therefore, as \( n \to \infty \), the determinant \( d_n \) will approach zero because the rows (or columns) of \( A_n \) will become increasingly linearly dependent.

Conclusion:
\[
\lim_{n \to \infty} d_n = 0
\]

The final answer is \(\boxed{0}\)