The following pages link to Salvatore Cuomo (Q480369):
Displaying 49 items.
- A class of piecewise interpolating functions based on barycentric coordinates (Q480373) (← links)
- On best constants in Hardy inequalities with a remainder term (Q555110) (← links)
- (Q729040) (redirect page) (← links)
- A revised scheme to compute horizontal covariances in an oceanographic 3D-VAR assimilation system (Q729041) (← links)
- A note on the numerical resolution of Heston PDEs (Q829233) (← links)
- Piecewise Hermite interpolation via barycentric coordinates (Q891895) (← links)
- A class of universal approximators of real continuous functions revisited (Q1623058) (← links)
- Modification of TV-ROF denoising model based on split Bregman iterations (Q1740170) (← links)
- Nonlinear Galerkin methods for a system of PDEs with Turing instabilities (Q1742979) (← links)
- Greeks computation in the option pricing problem by means of RBF-PU methods (Q1987467) (← links)
- A numerical scheme for solving a class of logarithmic integral equations arisen from two-dimensional Helmholtz equations using local thin plate splines (Q2009534) (← links)
- Julia language in machine learning: algorithms, applications, and open issues (Q2026295) (← links)
- Remarks on the numerical approximation of Dirac delta functions (Q2063298) (← links)
- A physics-informed learning approach to Bernoulli-type free boundary problems (Q2107176) (← links)
- Kernel-based models for influence maximization on graphs based on Gaussian process variance minimization (Q2112685) (← links)
- A sojourn-based approach to semi-Markov reinforcement learning (Q2149523) (← links)
- Scientific machine learning through physics-informed neural networks: where we are and what's next (Q2162315) (← links)
- RBF methods in a stochastic volatility framework for Greeks computation (Q2186934) (← links)
- Computational error bounds for Laplace transform inversion based on smoothing splines (Q2189850) (← links)
- A procedure for Laplace transform inversion based on smoothing exponential-polynomial splines (Q2200316) (← links)
- A travelling wave solution for nonlinear colloid facilitated mass transport in porous media (Q2200325) (← links)
- Adaptive RBF interpolation for estimating missing values in geographical data (Q2200329) (← links)
- 3D data denoising via nonlocal means filter by using parallel GPU strategies (Q2262528) (← links)
- A stable meshfree PDE solver for source-type flows in porous media (Q2301261) (← links)
- Reconstruction of implicit curves and surfaces via RBF interpolation (Q2400794) (← links)
- Computation of the inverse Laplace transform based on a collocation method which uses only real values (Q2433784) (← links)
- Error analysis of a collocation method for numerically inverting a Laplace transform in case of real samples (Q2475361) (← links)
- Conditioning and convergence of a quadrature process (Q2504978) (← links)
- Parallel tools and techniques for biological cells modelling (Q2835110) (← links)
- Numerical Effects of the Gaussian Recursive Filters in Solving Linear Systems in the 3Dvar Case Study (Q3176034) (← links)
- Numerical regularization of a real inversion formula based on the Laplace transform's eigenfunction expansion of the inverse function (Q3435909) (← links)
- (Q3528768) (← links)
- (Q4462409) (← links)
- Uncertainty Quantification of Unsteady Flows Generated by Line-Sources Through Heterogeneous Geological Formations (Q5119630) (← links)
- Time discretization in the solution of parabolic PDEs with ANNs (Q6096361) (← links)
- A linear algebra approach to HP-splines frequency parameter selection (Q6096377) (← links)
- Meshless methods for American option pricing through physics-informed neural networks (Q6158655) (← links)
- Solving groundwater flow equation using physics-informed neural networks (Q6176691) (← links)
- Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data (Q6323475) (← links)
- Kernel-Based Models for Influence Maximization on Graphs based on Gaussian Process Variance Minimization (Q6361921) (← links)
- Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next (Q6388282) (← links)
- A physics-informed deep learning approach for solving strongly degenerate parabolic problems (Q6513346) (← links)
- Speckle noise removal via learned variational models (Q6546946) (← links)
- Using local PHS+poly approximations for Laplace transform inversion by Gaver-Stehfest algorithm (Q6555449) (← links)
- Reconstruction of volatility surfaces: a first computational study (Q6556648) (← links)
- Smoothing exponential-polynomial splines for multiexponential decay data (Q6557285) (← links)
- A numerical approach for soil microbiota growth prediction through physics-informed neural network (Q6646501) (← links)
- Learning stability on graphs (Q6651489) (← links)
- Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy (Q6659331) (← links)
