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The following pages link to The sparse principal component analysis problem: optimality conditions and algorithms (Q306306):

Displaying 21 items.

An augmented Lagrangian approach for sparse principal component analysis (Q715084) (← links)
High-dimensional analysis of semidefinite relaxations for sparse principal components (Q834367) (← links)
Sparse principal component analysis via fractional function regularity (Q2007153) (← links)
A Lagrange-Newton algorithm for sparse nonlinear programming (Q2089792) (← links)
Alternating maximization: unifying framework for 8 sparse PCA formulations and efficient parallel codes (Q2129204) (← links)
A solution approach for cardinality minimization problem based on fractional programming (Q2168753) (← links)
A fast, provably accurate approximation algorithm for sparse principal component analysis reveals human genetic variation across the world (Q2170129) (← links)
Certifiably optimal sparse principal component analysis (Q2293653) (← links)
Optimization problems involving group sparsity terms (Q2330642) (← links)
Sparse PCA: optimal rates and adaptive estimation (Q2443213) (← links)
Robust sparse principal component analysis: situation of full sparseness (Q2688809) (← links)
The Sparse Principal Component of a Constant-Rank Matrix (Q2986449) (← links)
Proximal Mapping for Symmetric Penalty and Sparsity (Q4606656) (← links)
(Q4900992) (← links)
Principal Component Analysis by Optimization of Symmetric Functions has no Spurious Local Optima (Q5215520) (← links)
(Q5347964) (← links)
PCA Sparsified (Q6176425) (← links)
A Path-Based Approach to Constrained Sparse Optimization (Q6202768) (← links)
First- and second-order optimality conditions of nonsmooth sparsity multiobjective optimization via variational analysis (Q6541380) (← links)
Subspace Newton method for sparse group \(\ell_0\) optimization problem (Q6607024) (← links)
A Lagrange–Newton algorithm for tensor sparse principal component analysis (Q6611219) (← links)