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2 cards from this section. Quick, good the night before a test.
Define a sparse matrix.
Think about the ratio of non-zero to zero elements.
What is one application of sparse matrices?
Consider engineering simulations.
What defines a sparse matrix?
Consider the balance between zero and non-zero values.
True or False: All matrices are sparse matrices.
Reflect on the definition we discussed.
You have a large matrix from finite element analysis with only 12 non-zero values out of 100 elements. How would you convert this to a sparse matrix representation?
Think about what it means to store only what's necessary.
Analyze a scenario where using a dense matrix for a problem caused inefficiencies. How would sparse matrices solve these pitfalls?
Consider the difference between filling a balloon and only keeping the essential air!
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