Pages that link to "Item:Q2133411"
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The following pages link to First-order optimization algorithms via inertial systems with Hessian driven damping (Q2133411):
Displaying 48 items.
- Fast convex optimization via inertial dynamics with Hessian driven damping (Q324582) (← links)
- Approaching nonsmooth nonconvex optimization problems through first order dynamical systems with hidden acceleration and Hessian driven damping terms (Q1653320) (← links)
- Convergence rates for the heavy-ball continuous dynamics for non-convex optimization, under Polyak-Łojasiewicz condition (Q2089864) (← links)
- Convergence rates of damped inerial dynamics from multi-degree-of-freedom system (Q2091224) (← links)
- On the effect of perturbations in first-order optimization methods with inertia and Hessian driven damping (Q2106043) (← links)
- A fast continuous time approach with time scaling for nonsmooth convex optimization (Q2110501) (← links)
- First-order inertial algorithms involving dry friction damping (Q2133421) (← links)
- Asymptotic behavior of Newton-like inertial dynamics involving the sum of potential and nonpotential terms (Q2138450) (← links)
- Fast convergence of dynamical ADMM via time scaling of damped inertial dynamics (Q2139279) (← links)
- Global convergence of model function based Bregman proximal minimization algorithms (Q2154449) (← links)
- Accelerated proximal point method for maximally monotone operators (Q2235140) (← links)
- An engineering interpretation of Nesterov's convex minimization algorithm and time integration: application to optimal fiber orientation (Q2666090) (← links)
- First-order frameworks for continuous Newton-like dynamics governed by maximally monotone operators (Q2670974) (← links)
- Newton-type inertial algorithms for solving monotone equations Governed by sums of potential and nonpotential operators (Q2674443) (← links)
- Fast continuous dynamics inside the graph of maximally monotone operators (Q2687739) (← links)
- Optimal convergence rates for damped inertial gradient dynamics with flat geometries (Q2694484) (← links)
- Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster (Q3382800) (← links)
- The rate of convergence of optimization algorithms obtained via discretizations of heavy ball dynamical systems for convex optimization problems (Q5054738) (← links)
- Potential Function-Based Framework for Minimizing Gradients in Convex and Min-Max Optimization (Q5093649) (← links)
- From the Ravine Method to the Nesterov Method and Vice Versa: A Dynamical System Perspective (Q5097023) (← links)
- Newton-like Inertial Dynamics and Proximal Algorithms Governed by Maximally Monotone Operators (Q5139837) (← links)
- Second-Order Dynamics with Hessian-Driven Damping for Linearly Constrained Convex Minimization (Q5158373) (← links)
- Generalized Momentum-Based Methods: A Hamiltonian Perspective (Q5857293) (← links)
- Fast convex optimization via a third-order in time evolution equation (Q5864709) (← links)
- Accelerated differential inclusion for convex optimization (Q6042222) (← links)
- Convergence of iterates for first-order optimization algorithms with inertia and Hessian driven damping (Q6042225) (← links)
- Accelerated dynamics with dry friction via time scaling and averaging of doubly nonlinear evolution equations (Q6052174) (← links)
- Fast convergence of inertial dynamics with Hessian-driven damping under geometry assumptions (Q6058513) (← links)
- Fast continuous dynamics inside the graph of subdifferentials of nonsmooth convex functions (Q6066119) (← links)
- An ordinary differential equation for modeling Halpern fixed-point Algorithm (Q6066911) (← links)
- A speed restart scheme for a dynamics with Hessian-driven damping (Q6086152) (← links)
- Practical perspectives on symplectic accelerated optimization (Q6087057) (← links)
- A modified Tseng splitting method with double inertial steps for solving monotone inclusion problems (Q6134434) (← links)
- Inertial Newton algorithms avoiding strict saddle points (Q6145046) (← links)
- First order inertial optimization algorithms with threshold effects associated with dry friction (Q6146366) (← links)
- Smoothing accelerated proximal gradient method with fast convergence rate for nonsmooth convex optimization beyond differentiability (Q6161546) (← links)
- The heavy ball method regularized by Tikhonov term. Simultaneous convergence of values and trajectories (Q6162494) (← links)
- Convergence of inertial dynamics driven by sums of potential and nonpotential operators with implicit Newton-like damping (Q6163952) (← links)
- Time rescaling of a primal-dual dynamical system with asymptotically vanishing damping (Q6166339) (← links)
- Accelerated gradient methods combining Tikhonov regularization with geometric damping driven by the Hessian (Q6166341) (← links)
- Fast optimization via inertial dynamics with closed-loop damping (Q6172672) (← links)
- Properties and practicability of convergence-guaranteed optimization methods derived from weak discrete gradients (Q6559452) (← links)
- Convex optimization via inertial algorithms with vanishing Tikhonov regularization: fast convergence to the minimum norm solution (Q6568754) (← links)
- Fast optimization of charged particle dynamics with damping (Q6573013) (← links)
- A Nesterov type algorithm with double Tikhonov regularization: fast convergence of the function values and strong convergence to the minimal norm solution (Q6589692) (← links)
- Fast convex optimization via differential equation with Hessian-driven damping and Tikhonov regularization (Q6636776) (← links)
- A doubly nonlinear evolution system with threshold effects associated with dry friction (Q6644236) (← links)
- Solving convex optimization problems via a second order dynamical system with implicit Hessian damping and Tikhonov regularization (Q6667693) (← links)