NNLS
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Related Items (17)
An optimal subgradient algorithm for large-scale bound-constrained convex optimization ⋮ Non-negative least squares for high-dimensional linear models: consistency and sparse recovery without regularization ⋮ Distance majorization and its applications ⋮ Control of \(M|M|1|N\) queue parameters under constraints ⋮ PNKH-B: A Projected Newton--Krylov Method for Large-Scale Bound-Constrained Optimization ⋮ On Tensors, Sparsity, and Nonnegative Factorizations ⋮ IMRO: A Proximal Quasi-Newton Method for Solving $\ell_1$-Regularized Least Squares Problems ⋮ A Fast Algorithm for Maximum Likelihood Estimation of Mixture Proportions Using Sequential Quadratic Programming ⋮ A convex optimization approach to adaptive stabilization of discrete‐time LTI systems with polytopic uncertainties ⋮ Approximate solution of system of equations arising in interior-point methods for bound-constrained optimization ⋮ Stochastic proximal quasi-Newton methods for non-convex composite optimization ⋮ Tackling Box-Constrained Optimization via a New Projected Quasi-Newton Approach ⋮ On Quasi-Newton Forward-Backward Splitting: Proximal Calculus and Convergence ⋮ Interpretable Dynamic Treatment Regimes ⋮ Testing for additivity in non‐parametric regression ⋮ Solving an inverse heat convection problem with an implicit forward operator by using a projected quasi-Newton method ⋮ A reduced proximal-point homotopy method for large-scale non-convex BQP
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