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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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0111 · Feb 202319922001200920172026
6 results for hypomonotone

This paper advances extragradient methods for solving inclusions under co-hypomonotonicity.

problem Solving inclusions with non-Lipschitz mappings.
method Unified and generalized extragradient methods under co-hypomonotonicity.
result Achieved O(1/k)\mathcal{O}(1/k) convergence rates for residual norms.

Two accelerated extragradient methods converge at O(1/k)O(1/k) rate for co-hypomonotone inclusions.

problem Solving co-hypomonotone inclusions with sum of Lipschitz and multivalued operators.
method Developed two Nesterov's accelerated extragradient methods for co-hypomonotone inclusions.
result Achieve O(1/k)\mathcal{O}(1/k) last-iterate convergence rates on the residual norm.

Develops variance-reduced methods for solving generalized equations.

problem Solving a class of generalized equations, including minimization, minimax, and variational inequalities.
method Integrates accelerated operator splitting, fixed-point methods, and variance reduction techniques.
result Achieves both O(1/k2)\mathcal{O}(1/k^2) and o(1/k2)o(1/k^2) convergence rates on the expected squared norm of the FBS residual.

Survey on extragradient methods for solving nonlinear equations and inclusions.

problem Approximating solutions of nonlinear equations and inclusions.
method Unified convergence analysis of extragradient and its variants.
result Sublinear convergence rates for different classes of algorithms.

Develops an accelerated algorithm for solving nonmonotone generalized equations.

problem Solving nonmonotone generalized equations with possibly non-accelerated schemes.
method Combines Nesterov's acceleration and variance-reduction techniques for a class of generalized equations.
result Achieves O(1/k2)\mathcal{O}(1/k^2) convergence rates, improving upon non-accelerated counterparts.