Pages that link to "Item:Q523629"

The following pages link to \{Euclidean, metric, and Wasserstein\} gradient flows: an overview (Q523629):

Displaying 50 items.

• \(q\)-heat flow and the gradient flow of the Renyi entropy in the \(p\)-Wasserstein space (Q306552) (← links)
• Gradient flow structures for discrete porous medium equations (Q379817) (← links)
• The gradient flow of a generalized Fisher information functional with respect to modified Wasserstein distances (Q524562) (← links)
• A Trotter product formula for gradient flows in metric spaces (Q657026) (← links)
• Gradient flows of time-dependent functionals in metric spaces and applications to PDEs (Q681476) (← links)
• Gradient flows of the entropy for finite Markov chains (Q719491) (← links)
• Machine learning from a continuous viewpoint. I (Q829085) (← links)
• Wasserstein space over the Wiener space (Q846747) (← links)
• The heat equation on manifolds as a gradient flow in the Wasserstein space (Q974765) (← links)
• On nonlinear cross-diffusion systems: an optimal transport approach (Q1650886) (← links)
• Weighted ultrafast diffusion equations: from well-posedness to long-time behaviour (Q1738285) (← links)
• One-dimensional numerical algorithms for gradient flows in the \(p\)-Wasserstein spaces (Q1956230) (← links)
• On gradient flows with obstacles and Euler's elastica (Q1985796) (← links)
• Nonlinear Fokker-Planck equations with reaction as gradient flows of the free energy (Q2007960) (← links)
• Gradient flow formulations of discrete and continuous evolutionary models: a unifying perspective (Q2040625) (← links)
• Particle-based energetic variational inference (Q2058750) (← links)
• A Cucker-Smale flocking model with the Hessian communication weight and its first-order reduction (Q2073970) (← links)
• Convergence analysis for gradient flows in the training of artificial neural networks with ReLU activation (Q2079548) (← links)
• A cross-diffusion system obtained via (convex) relaxation in the JKO scheme (Q2099840) (← links)
• Data-driven gradient flows (Q2100871) (← links)
• Shape derivative for obstacles in crowd motion (Q2167585) (← links)
• Gradient flow formulation of diffusion equations in the Wasserstein space over a metric graph (Q2167934) (← links)
• A \(\lambda\)-convexity based proof for the propagation of chaos for weakly interacting stochastic particles (Q2197808) (← links)
• Bregman Itoh-Abe methods for sparse optimisation (Q2203362) (← links)
• A parabolic level set reinitialisation method using a discontinuous Galerkin discretisation (Q2203547) (← links)
• Lipschitz estimates on the JKO scheme for the Fokker-Planck equation on bounded convex domains (Q2213737) (← links)
• Lecture notes on variational mean field games (Q2223589) (← links)
• Uniqueness and characterization of local minimizers for the interaction energy with mildly repulsive potentials (Q2225896) (← links)
• Wasserstein gradients for the temporal evolution of probability distributions (Q2233565) (← links)
• Understanding the topology and the geometry of the space of persistence diagrams via optimal partial transport (Q2240088) (← links)
• Weak solutions for unidirectional gradient flows: existence, uniqueness, and convergence of time discretization schemes (Q2240898) (← links)
• Gradient flows and evolution variational inequalities in metric spaces. I: structural properties (Q2281173) (← links)
• Uniformly compressing mean curvature flow (Q2332267) (← links)
• Hessian transport gradient flows (Q2336045) (← links)
• Gradient flows and diffusion semigroups in metric spaces under lower curvature bounds (Q2643117) (← links)
• The existence of minimizers for an isoperimetric problem with Wasserstein penalty term in unbounded domains (Q2677297) (← links)
• Dissipative probability vector fields and generation of evolution semigroups in Wasserstein spaces (Q2689438) (← links)
• JKO estimates in linear and non-linear Fokker-Planck equations, and Keller-Segel: \(L^p\) and Sobolev bounds (Q2693542) (← links)
• Polyak-Łojasiewicz inequality on the space of measures and convergence of mean-field birth-death processes (Q2694477) (← links)
• The exponential formula for the Wasserstein metric (Q2798008) (← links)
• Gradient flows in Wasserstein spaces and applications to crowd movement (Q2837189) (← links)
• A Diffusion-Driven Characteristic Mapping Method for Particle Management (Q3382798) (← links)
• $L^\infty $ estimates for the JKO scheme in parabolic-elliptic Keller-Segel systems (Q4563561) (← links)
• A New Class of First Order Displacement Convex Functionals (Q4609594) (← links)
• Crowd motion and evolution PDEs under density constraints (Q4615508) (← links)
• Bound/Positivity Preserving and Energy Stable Scalar auxiliary Variable Schemes for Dissipative Systems: Applications to Keller--Segel and Poisson--Nernst--Planck Equations (Q4997384) (← links)
• The back-and-forth method for Wasserstein gradient flows (Q4999527) (← links)
• Generative Ensemble Regression: Learning Particle Dynamics from Observations of Ensembles with Physics-informed Deep Generative Models (Q5022489) (← links)
• q-Moment Measures and Applications: A New Approach via Optimal Transport (Q5026417) (← links)
• A new minimizing-movements scheme for curves of maximal slope (Q5097306) (← links)