Pages that link to "Item:Q4646679"
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The following pages link to FOM – a MATLAB toolbox of first-order methods for solving convex optimization problems (Q4646679):
Displaying 13 items.
- FOM (Q38876) (← links)
- Self-adaptive inertial extragradient algorithms for solving variational inequality problems (Q2027711) (← links)
- Self adaptive inertial extragradient algorithms for solving bilevel pseudomonotone variational inequality problems (Q2044141) (← links)
- Strong convergence of inertial projection and contraction methods for pseudomonotone variational inequalities with applications to optimal control problems (Q2114596) (← links)
- Fused Lasso approach in portfolio selection (Q2241053) (← links)
- Two modified inertial projection algorithms for bilevel pseudomonotone variational inequalities with applications to optimal control problems (Q2665944) (← links)
- A new step size rule for the superiorization method and its application in computerized tomography (Q2672729) (← links)
- CVXPY: a Python-embedded modeling language for convex optimization (Q2810900) (← links)
- Using SeDuMi 1.02, A Matlab toolbox for optimization over symmetric cones (Q4504796) (← links)
- Portfolio selection based on extended Gini shortfall risk measures (Q6139263) (← links)
- Alternated inertial algorithms for split feasibility problems (Q6140898) (← links)
- First-order methods for convex optimization (Q6169988) (← links)
- An interior proximal gradient method for nonconvex optimization (Q6584340) (← links)
