(Nonlinear) Optimization Functions#
The implementation for solver
\[\arg\min_{\theta \in R^s} f(\theta),\]
where
\(\theta\) is a \(s\)-dimensional parameter vector (note that \(s\) is the desired sparsity in sparsity-constraint optimization)
\(f(\theta)\) is the objective function.
Functions#
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