Pages that link to "Item:Q1650774"

The following pages link to Monotone operator theory in convex optimization (Q1650774):

Displaying 35 items.

• Parseval proximal neural networks (Q785901) (← links)
• Accelerated proximal algorithms with a correction term for monotone inclusions (Q832632) (← links)
• Convex analysis can be helpful for the asymptotic analysis of monotone operators (Q959952) (← links)
• On sums and convex combinations of projectors onto convex sets (Q1740660) (← links)
• To the theory of operator monotone and operator convex functions (Q1956583) (← links)
• Reconstruction of functions from prescribed proximal points (Q2037075) (← links)
• Resolvents and Yosida approximations of displacement mappings of isometries (Q2047261) (← links)
• High-performance statistical computing in the computing environments of the 2020s (Q2092893) (← links)
• Convergence of proximal solutions for evolution inclusions with time-dependent maximal monotone operators (Q2149576) (← links)
• Approximation of common solution of finite family of monotone inclusion and fixed point problems for demicontractive multivalued mappings in CAT(0) spaces (Q2184178) (← links)
• Deep neural network structures solving variational inequalities (Q2194605) (← links)
• Fixing and extending some recent results on the ADMM algorithm (Q2225529) (← links)
• Generalized monotone operators and their averaged resolvents (Q2230932) (← links)
• Accelerated proximal point method for maximally monotone operators (Q2235140) (← links)
• Convolutional proximal neural networks and plug-and-play algorithms (Q2238870) (← links)
• Douglas-Rachford splitting and ADMM for pathological convex optimization (Q2282817) (← links)
• The resolvent average of monotone operators: dominant and recessive properties (Q2792407) (← links)
• A primer on monotone operator methods (Q2805243) (← links)
• Locally Efficient Monotone Operators (Q3211852) (← links)
• (Q3485516) (← links)
• (Q3715708) (← links)
• (Q4666754) (← links)
• A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations (Q5024382) (← links)
• Multivariate Monotone Inclusions in Saddle Form (Q5085132) (← links)
• Fast convergence of generalized forward-backward algorithms for structured monotone inclusions (Q5091986) (← links)
• Newton-like Inertial Dynamics and Proximal Algorithms Governed by Maximally Monotone Operators (Q5139837) (← links)
• Learning Maximally Monotone Operators for Image Recovery (Q5860360) (← links)
• Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists (Q6046287) (← links)
• An ordinary differential equation for modeling Halpern fixed-point Algorithm (Q6066911) (← links)
• Maximal Monotonicity and Cyclic Involutivity of Multiconjugate Convex Functions (Q6076856) (← links)
• Resolvent and proximal compositions (Q6163860) (← links)
• The geometry of monotone operator splitting methods (Q6598417) (← links)
• Solution of mismatched monotone+Lipschitz inclusion problems (Q6633144) (← links)
• Integral resolvent and proximal mixtures (Q6655790) (← links)
• Forward-primal-dual-half-forward algorithm for splitting four operators (Q6661700) (← links)