Efficiently compute sums of diagonals of a matrix
Efficiently compute sums of diagonals of a matrix is a DSA topic. In plain words you use it for a short Efficiently compute sums of diagonals of a matrix example in a short dry-run on paper. Don’t start with a slogan — start with that picture.
Smallest example: the smallest Efficiently compute sums of diagonals of a matrix example you can type. Type it, run it, and say what you see. If you can do that from memory, you know Efficiently compute sums of diagonals of a matrix.
From the example next to this theory: Efficiently compute sums of diagonals of a matrix — arrays give O(1) index access; matrices are arrays of arrays.
Trap: only saying “Efficiently compute sums of diagonals of a matrix” with no example. Fix that before you talk about advanced DSA.
Viva: what is Efficiently compute sums of diagonals of a matrix? Then show the smallest Efficiently compute sums of diagonals of a matrix example you can type. Then name the trap.
What is Efficiently compute sums of diagonals of a matrix? Show this: the smallest Efficiently compute sums of diagonals of a matrix example you can type. Trap: only saying “Efficiently compute sums of diagonals of a matrix” with no example.