The following pages link to extracted from (P1689):
Displaying 33 items.
- Reorthogonalized Pythagorean variants of block classical Gram-Schmidt (Q6533009) (← links)
- Conservative semi-lagrangian finite difference scheme for transport simulations using graph neural networks (Q6533125) (← links)
- Dimensionality reduction of neuronal degeneracy reveals two interfering physiological mechanisms (Q6533142) (← links)
- Iterative Reconstruction Methods for Cosmological X-Ray Tomography (Q6533154) (← links)
- Numerical validation of an adaptive model for the determination of nonlinear-flow regions in highly heterogeneous porous media (Q6533161) (← links)
- Tracking and forecasting oscillatory data streams using Koopman autoencoders and Kalman filtering (Q6533184) (← links)
- Modelling the Stochastic Importation Dynamics and Establishment of Novel Pathogenic Strains using a General Branching Processes Framework (Q6533216) (← links)
- A computational study of cutting-plane methods for multi-stage stochastic integer programs (Q6533247) (← links)
- Projection-Free Method for the Full Frank-Oseen Model of Liquid Crystals (Q6533385) (← links)
- Delooping generated groups in homotopy type theory (Q6533425) (← links)
- Perfect codes over non-prime power alphabets: an approach based on Diophantine equations (Q6533448) (← links)
- Annealed adaptive importance sampling method in PINNs for solving high dimensional partial differential equations (Q6533476) (← links)
- Precision-based designs for sequential randomized experiments (Q6533488) (← links)
- Randomized iterative methods for generalized absolute value equations: Solvability and error bounds (Q6533609) (← links)
- Fibonacci Neural Network Approach for Numerical Solutions of Fractional Order Differential Equations (Q6533635) (← links)
- How to reveal the rank of a matrix? (Q6533667) (← links)
- A fully differentiable GNN-based PDE Solver: With Applications to Poisson and Navier-Stokes Equations (Q6533717) (← links)
- Approximation properties relative to continuous scale space for hybrid discretizations of Gaussian derivative operators (Q6533853) (← links)
- Full error analysis of the random deep splitting method for nonlinear parabolic PDEs and PIDEs with infinite activity (Q6533876) (← links)
- Learning bridge numbers of knots (Q6533903) (← links)
- Logic-Based Discrete-Steepest Descent: A Solution Method for Process Synthesis Generalized Disjunctive Programs (Q6533928) (← links)
- Estimation of ill-conditioned models using penalized sums of squares of the residuals (Q6533996) (← links)
- Infinitely many isolas of modulational instability for Stokes waves (Q6534043) (← links)
- Active nematic fluids on Riemannian 2-manifolds (Q6534081) (← links)
- Geometric Approaches to Matrix Normalization and Graph Balancing (Q6534109) (← links)
- Backward errors for multiple eigenpairs in structured and unstructured nonlinear eigenvalue problems (Q6534134) (← links)
- Some uniform effective results on Andr\'{e}--Oort for sums of powers in $\mathbb{C}^n$ (Q6534164) (← links)
- Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers (Q6534167) (← links)
- Can Neural Networks learn Finite Elements? (Q6534172) (← links)
- An Open Source Stochastic Unit Commitment Tool using the PyPSA-Framework (Q6534173) (← links)
- A posteriori error estimates based on multilevel decompositions with large problems on the coarsest level (Q6534184) (← links)
- How often does a cubic hypersurface have a rational point? (Q6534190) (← links)
- Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts (Q6767927) (← links)
