Pages that link to "Item:Q2834481"

The following pages link to A differential equation for modeling Nesterov's accelerated gradient method: theory and insights (Q2834481):

Displaying 50 items.

• An \(O(s^r)\)-resolution ODE framework for understanding discrete-time algorithms and applications to the linear convergence of minimax problems (Q2149577) (← links)
• Proportional-integral projected gradient method for conic optimization (Q2151872) (← links)
• Inertial accelerated primal-dual methods for linear equality constrained convex optimization problems (Q2159429) (← links)
• Discrete dynamical system approaches for Boolean polynomial optimization (Q2161551) (← links)
• Fast inertial dynamic algorithm with smoothing method for nonsmooth convex optimization (Q2162532) (← links)
• A regularization interpretation of the proximal point method for weakly convex functions (Q2179443) (← links)
• A gradient-type algorithm with backward inertial steps associated to a nonconvex minimization problem (Q2181667) (← links)
• Discrete processes and their continuous limits (Q2197184) (← links)
• Network flows that solve least squares for linear equations (Q2203042) (← links)
• Bregman Itoh-Abe methods for sparse optimisation (Q2203362) (← links)
• Applying FISTA to optimization problems (with or) without minimizers (Q2205981) (← links)
• Tikhonov regularization of a second order dynamical system with Hessian driven damping (Q2230936) (← links)
• Alternating minimization methods for strongly convex optimization (Q2232092) (← links)
• Improved convergence rates and trajectory convergence for primal-dual dynamical systems with vanishing damping (Q2232743) (← links)
• An extension of the second order dynamical system that models Nesterov's convex gradient method (Q2232772) (← links)
• Stochastic optimization with momentum: convergence, fluctuations, and traps avoidance (Q2233558) (← links)
• Accelerated proximal point method for maximally monotone operators (Q2235140) (← links)
• Convergence rates for an inertial algorithm of gradient type associated to a smooth non-convex minimization (Q2235149) (← links)
• Convergence rate of inertial forward-backward algorithm beyond Nesterov's rule (Q2297644) (← links)
• New analysis of linear convergence of gradient-type methods via unifying error bound conditions (Q2297652) (← links)
• Fractional differential equation approach for convex optimization with convergence rate analysis (Q2300643) (← links)
• Second order asymptotical regularization methods for inverse problems in partial differential equations (Q2309263) (← links)
• Nesterov-aided stochastic gradient methods using Laplace approximation for Bayesian design optimization (Q2309392) (← links)
• Asymptotic equivalence of evolution equations governed by cocoercive operators and their forward discretizations (Q2315255) (← links)
• Generalized affine scaling algorithms for linear programming problems (Q2337378) (← links)
• Convergence of a relaxed inertial forward-backward algorithm for structured monotone inclusions (Q2338080) (← links)
• Fast convergence of inertial dynamics and algorithms with asymptotic vanishing viscosity (Q2413084) (← links)
• An optimal control theory for nonlinear optimization (Q2423525) (← links)
• Accelerated gradient boosting (Q2425242) (← links)
• Exploring critical points of energy landscapes: from low-dimensional examples to phase field crystal PDEs (Q2656033) (← links)
• Explicit stabilised gradient descent for faster strongly convex optimisation (Q2660598) (← links)
• Proximal gradient flow and Douglas-Rachford splitting dynamics: global exponential stability via integral quadratic constraints (Q2662276) (← links)
• Robust hybrid zero-order optimization algorithms with acceleration via averaging in time (Q2662325) (← 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)
• Second-order flows for computing the ground states of rotating Bose-Einstein condensates (Q2683094) (← links)
• Convergence rates of the heavy-ball method under the Łojasiewicz property (Q2687044) (← links)
• Optimal decay rates for semi-linear non-autonomous evolution equations with vanishing damping (Q2693996) (← links)
• Optimal convergence rates for damped inertial gradient dynamics with flat geometries (Q2694484) (← links)
• On FISTA with a relative error rule (Q2696903) (← links)
• Fast convergence of inertial gradient dynamics with multiscale aspects (Q2696950) (← links)
• Halting time is predictable for large models: a universality property and average-case analysis (Q2697399) (← links)
• Second order forward-backward dynamical systems for monotone inclusion problems (Q2810573) (← links)
• Convergence Rates of Damped Inertial Dynamics under Geometric Conditions and Perturbations (Q3300770) (← links)
• On dissipative symplectic integration with applications to gradient-based optimization (Q3382316) (← links)
• Convergence Rates of Inertial Primal-Dual Dynamical Methods for Separable Convex Optimization Problems (Q3382782) (← links)
• Search Direction Correction with Normalized Gradient Makes First-Order Methods Faster (Q3382800) (← links)
• Generalizing the Optimized Gradient Method for Smooth Convex Minimization (Q4571883) (← links)
• The Differential Inclusion Modeling FISTA Algorithm and Optimality of Convergence Rate in the Case b $\leq3$ (Q4606662) (← links)