The following pages link to Solving PDEs in Python (Q2963529):
Displaying 48 items.
- FEniCS (Q16493) (← links)
- Automated solution of differential equations by the finite element method. The FEniCS book (Q717817) (← links)
- A mixed discontinuous Galerkin method with symmetric stress for Brinkman problem based on the velocity-pseudostress formulation (Q2021202) (← links)
- Construction of constrained experimental designs on finite spaces for a modified \(\mathrm{E}_k\)-optimality criterion (Q2023572) (← links)
- Bayesian inversion of a diffusion model with application to biology (Q2040282) (← links)
- Space-time backward substitution method for nonlinear transient heat conduction problems in functionally graded materials (Q2079759) (← links)
- Emulation of cardiac mechanics using graph neural networks (Q2096869) (← links)
- Uniform in time \(L^\infty \)-estimates for an attraction-repulsion chemotaxis model with double saturation (Q2099195) (← links)
- An augmented Lagrangian algorithm for recovery of ice thickness in unidirectional flow using the shallow ice approximation (Q2109570) (← links)
- A two-grid decoupled algorithm for a multi-dimensional Darcy-Brinkman fracture model (Q2113625) (← links)
- Randomized maximum likelihood based posterior sampling (Q2130957) (← links)
- Covariant spacetime formalism for applications to thermo-hyperelasticity (Q2156209) (← links)
- A multi-scale method for complex flows of non-Newtonian fluids (Q2167637) (← links)
- An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new time-distributed residual U-net architecture (Q2184471) (← links)
- A proximal gradient method for control problems with non-smooth and non-convex control cost (Q2231051) (← links)
- Parameter identification of a second-gradient model for the description of pantographic structures in dynamic regime (Q2239288) (← links)
- Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations (Q2246361) (← links)
- Multiscale finite element calculations in Python using sfepy (Q2326757) (← links)
- Regularized Jacobi-type ADMM-methods for a class of separable convex optimization problems in Hilbert spaces (Q2419566) (← links)
- A multi-physics methodology for four states of matter (Q2665566) (← links)
- Exploiting compression in solving discretized linear systems (Q2672181) (← links)
- A posteriori analysis for a mixed FEM discretization of the linear elasticity spectral problem (Q2674279) (← links)
- Automated finite element solution of diffusion models for image denoising (Q2689385) (← links)
- φenics: Vainshtein screening with the finite element method (Q5025980) (← links)
- SELCIE: a tool for investigating the chameleon field of arbitrary sources (Q5064670) (← links)
- A Python Framework for Solving Advection-Diffusion Problems (Q5117498) (← links)
- PETSc for Partial Differential Equations: Numerical Solutions in C and Python (Q5122713) (← links)
- Software infrastructure for solving nonlinear partial differential equations and its application to modelling crustal fault systems (Q5708092) (← links)
- Gradient Flows for Coupling Order Parameters and Mechanics (Q6042591) (← links)
- Displacement‐pseudostress formulation for the linear elasticity spectral problem (Q6086356) (← links)
- Numerical approximation of the solution of an obstacle problem modelling the displacement of elliptic membrane shells via the penalty method (Q6118402) (← links)
- Uniform turnpike property and singular limits (Q6131273) (← links)
- Topology optimization applied to the design of Tesla-type turbine devices (Q6135615) (← links)
- Stochastic elliptic inverse problems. Solvability, convergence rates, discretization, and applications (Q6137266) (← links)
- A posteriori analysis for a mixed formulation of the Stokes spectral problem (Q6142557) (← links)
- Discontinuous Galerkin methods for the acoustic vibration problem (Q6145215) (← links)
- Approximation of rigid obstacle by highly viscous fluid (Q6156221) (← links)
- Interior penalty discontinuous Galerkin methods for the velocity-pressure formulation of the Stokes spectral problem (Q6171721) (← links)
- Physics-informed graph neural network emulation of soft-tissue mechanics (Q6194151) (← links)
- Projection-based reduced order modeling and data-driven artificial viscosity closures for incompressible fluid flows (Q6497167) (← links)
- A neural network approach for stochastic optimal control (Q6598497) (← links)
- Mixed discontinuous Galerkin method for quasi-Newtonian Stokes flows (Q6617004) (← links)
- On shape and topological optimization problems with constraints Helmholtz equation and spectral problems (Q6618273) (← links)
- Least-squares pressure recovery in reduced order methods for incompressible flows (Q6639316) (← links)
- Finite element method to solve Cauchy problems for degenerate hyperbolic equations (Q6647567) (← links)
- Finite element approximation for a delayed generalized Burgers-Huxley equation with weakly singular kernels. I: Well-posedness, regularity and conforming approximation (Q6647598) (← links)
- Robustness and reliability of state-space, frame-based modeling for thermoacoustics (Q6648375) (← links)
- Spatio-temporal model of combining chemotherapy with senolytic treatment in lung cancer (Q6659157) (← links)
