The l0 norm, often referred to as the 'zero norm', is a mathematical term that counts the number of non-zero elements in a vector. In the context of sparse recovery algorithms, this norm is crucial because it quantifies sparsity, helping to identify the simplest solutions with the least number of non-zero coefficients, which is essential for efficiently reconstructing signals from limited data.
congrats on reading the definition of l0 norm. now let's actually learn it.