Pages that link to "Item:Q5124003"
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The following pages link to An Asymptotically Superlinearly Convergent Semismooth Newton Augmented Lagrangian Method for Linear Programming (Q5124003):
Displaying 16 items.
- An augmented Lagrangian method with constraint generation for shape-constrained convex regression problems (Q2146447) (← links)
- An augmented Lagrangian based semismooth Newton method for a class of bilinear programming problems (Q2181561) (← links)
- (Q4257422) (← links)
- A Feasible Semismooth Gauss-Newton Method for Solving a Class of SLCPs (Q4900532) (← links)
- An ADMM-based interior-point method for large-scale linear programming (Q4999335) (← links)
- Efficient Sparse Hessian-Based Semismooth Newton Algorithms for Dantzig Selector (Q5021412) (← links)
- A primal-dual flow for affine constrained convex optimization (Q5864593) (← links)
- General-purpose preconditioning for regularized interior point methods (Q6043128) (← links)
- A fast solver for generalized optimal transport problems based on dynamical system and algebraic multigrid (Q6053002) (← links)
- A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems (Q6111345) (← links)
- Faster first-order primal-dual methods for linear programming using restarts and sharpness (Q6165583) (← links)
- Fast sinkhorn. II: Collinear triangular matrix and linear time accurate computation of optimal transport (Q6184262) (← links)
- A Corrected Inexact Proximal Augmented Lagrangian Method with a Relative Error Criterion for a Class of Group-Quadratic Regularized Optimal Transport Problems (Q6500198) (← links)
- A fast and effective algorithm for sparse linear regression with \(\ell_p\)-norm data fidelity and elastic net regularization (Q6561486) (← links)
- A highly efficient algorithm for solving exclusive lasso problems (Q6640992) (← links)
- An accelerated proximal alternating direction method of multipliers for optimal decentralized control of uncertain systems (Q6661698) (← links)