Pages that link to "Item:Q1122320"
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The following pages link to Algorithms for bound constrained quadratic programming problems (Q1122320):
Displaying 50 items.
- On the regularizing behavior of the SDA and SDC gradient methods in the solution of linear ill-posed problems (Q268305) (← links)
- A limited memory quasi-Newton trust-region method for box constrained optimization (Q269370) (← links)
- Algorithms for the continuous nonlinear resource allocation problem -- new implementations and numerical studies (Q319183) (← links)
- On the solution of multidimensional convex separable continuous knapsack problem with bounded variables (Q319990) (← links)
- A Gauss-Seidel type solver for the fast computation of input-constrained control systems (Q345014) (← links)
- An efficient gradient method using the Yuan steplength (Q480934) (← links)
- Primal-dual active-set methods for large-scale optimization (Q493264) (← links)
- Large correlation analysis (Q547968) (← links)
- A direct active set algorithm for large sparse quadratic programs with simple bounds (Q583116) (← links)
- On iterative algorithms for linear least squares problems with bound constraints (Q756372) (← links)
- Quadratic programming problems with M-matrices and box constraints (Q756931) (← links)
- An active-set algorithmic framework for non-convex optimization problems over the simplex (Q782910) (← links)
- Algorithms of solution of problems of quadratic programming and of optimal guaranteed estimation (Q806673) (← links)
- On the decrease of a quadratic function along the projected-gradient path (Q836783) (← links)
- A convergent decomposition method for box-constrained optimization problems (Q839804) (← links)
- Algorithm for cardinality-constrained quadratic optimization (Q842777) (← links)
- Newton-KKT interior-point methods for indefinite quadratic programming (Q885826) (← links)
- Merging of Bézier curves with box constraints (Q898952) (← links)
- An algorithm for a singly constrained class of quadratic programs subject upper and lower bounds (Q922953) (← links)
- A unified method for a class of convex separable nonlinear knapsack problems (Q930930) (← links)
- On solving \(L_{q}\)-penalized regressions (Q933880) (← links)
- A hybrid algorithm for solving linear inequalities in a least squares sense (Q1014358) (← links)
- On the continuous quadratic knapsack problem (Q1194858) (← links)
- A block active set algorithm for large-scale quadratic programming with box constraints (Q1265874) (← links)
- Bound constrained quadratic programming via piecewise quadratic functions (Q1295961) (← links)
- A new trust region algorithm for bound constrained minimization (Q1337095) (← links)
- On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds (Q1341568) (← links)
- Family of projected descent methods for optimization problems with simple bounds (Q1364228) (← links)
- Approximation algorithms for quadratic programming (Q1386484) (← links)
- A trust-region-approach for solving a parameter estimation problem from the biotechnology area (Q1417606) (← links)
- A proportioning based algorithm with rate of convergence for bound constrained quadratic programming (Q1418846) (← links)
- MINQ8: general definite and bound constrained indefinite quadratic programming (Q1744884) (← links)
- Globally solving nonconvex quadratic programming problems via completely positive programming (Q1762459) (← links)
- Projected Barzilai-Borwein methods for large-scale box-constrained quadratic programming (Q1770257) (← links)
- Minimizing quadratic functions subject to bound constraints with the rate of convergence and finite termination (Q1773107) (← links)
- Convergence properties of Dikin's affine scaling algorithm for nonconvex quadratic minimization (Q1777447) (← links)
- The adventures of a simple algorithm (Q1863543) (← links)
- A parallel relaxation method for quadratic programming problems with interval constraints (Q1900763) (← links)
- An investigation of interior-point and block pivoting algorithms for large-scale symmetric monotone linear complementarity problems (Q1908927) (← links)
- An active set feasible method for large-scale minimization problems with bound constraints (Q1928749) (← links)
- An active set modified Polak-Ribiére-Polyak method for large-scale nonlinear bound constrained optimization (Q1935275) (← links)
- Steplength selection in gradient projection methods for box-constrained quadratic programs (Q2009551) (← links)
- Minimization over the \(\ell_1\)-ball using an active-set non-monotone projected gradient (Q2082555) (← links)
- LMBOPT: a limited memory method for bound-constrained optimization (Q2146448) (← links)
- Comparison of active-set and gradient projection-based algorithms for box-constrained quadratic programming (Q2156911) (← links)
- A matrix-free augmented Lagrangian algorithm with application to large-scale structural design optimization (Q2358024) (← links)
- Interior-point solver for large-scale quadratic programming problems with bound constraints (Q2370027) (← links)
- Modified combined relaxation method for general monotone equilibrium problems in Hilbert spaces (Q2370069) (← links)
- An accurate active set conjugate gradient algorithm with project search for bound constrained optimization (Q2448155) (← links)
- New algorithms for singly linearly constrained quadratic programs subject to lower and upper bounds (Q2492668) (← links)