What are the applications of sparse matrices?
Sparse matrices are used in various fields such as computer graphics, machine learning, and scientific computing.
Can you give me an example of how they are used in machine learning?
Sure! In machine learning, sparse matrices are often used to represent large datasets with many features, where most of the feature values are zero.
What about their role in computer graphics?
In computer graphics, sparse matrices help in efficiently storing and manipulating large images or 3D models, reducing memory usage.
Are there any specific algorithms that benefit from sparse matrices?
Yes, algorithms like the Conjugate Gradient method and various optimization techniques benefit significantly from sparse matrix representations.
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