The correct answer is: A. matrix3d(n,n,n,n,n,n,n,n,n,n,n,n,n,n,n,n)
A 3D transformation is a transformation that takes a point in 3D space and maps it to another point in 3D space. A 3D transformation can be represented by a 4×4 matrix, where each row and column of the matrix represents a different axis of rotation or translation.
The matrix3d() function takes 16 values as input, which are the elements of the 4×4 matrix. The first 12 values represent the rotation matrix, and the last 4 values represent the translation vector.
The matrix() function takes 16 values as input, but it does not guarantee that the values will be interpreted as a 3D transformation matrix. The values could be interpreted as a 2D transformation matrix, or they could be interpreted as a 4D transformation matrix.
The matrix2d() function takes 9 values as input, which are the elements of a 2×2 matrix. A 2D transformation is a transformation that takes a point in 2D space and maps it to another point in 2D space. A 2D transformation can be represented by a 2×2 matrix, where each row and column of the matrix represents a different axis of rotation or translation.
Therefore, the only function that can be used to define a 3D transformation is matrix3d().