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Vitality Learning

Vitality Learning

Two-dimensional Fast Marching

The present post follows a series of posts: Escaping the maze: the Eikonal Equation unveiled, A numerical solution to the 1D eikonal…

7 min readApr 1, 2024

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Two-dimensional Fast Marching

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Vitality Learning

The Godunov scheme for the solution of the two-dimensional eikonal equation and the Fast Sweeping…

The present post follows A numerical solution to the 1D eikonal equation and a Python implementation, extends its contents and deals with…

7 min readJan 15, 2024

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The Godunov scheme for the solution of the two-dimensional eikonal equation and the Fast Sweeping…

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Vitality Learning

A numerical solution to the 1D eikonal equation and a Python implementation

This post follows Escaping the maze: the Eikonal Equation unveiled where the iconal equation was introduced as a form of dynamic…

6 min readDec 20, 2023

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A numerical solution to the 1D eikonal equation and a Python implementation

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Vitality Learning

Escaping the maze: the Eikonal Equation unveiled

Have you ever been stuck in a maze, desperately searching for the quickest way out? Well, fear not, because the Eikonal Equation might just…

6 min readDec 8, 2023

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Escaping the maze: the Eikonal Equation unveiled

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Vitality Learning

Using C/C++ and CUDA functions as regular Python functions

This post follows the Running CUDA in Google Colab post in which we illustrated how Google Colab could be used to run CUDA codes. It…

3 min readNov 1, 2023

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Using C/C++ and CUDA functions as regular Python functions

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Vitality Learning

Nearest-neighbor and linear interpolations in 1D with CUDA.

The CPU and GPU codes regarding this post are available at the Vitality Learning GitHub repository.

7 min readOct 8, 2023

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Nearest-neighbor and linear interpolations in 1D with CUDA.

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Vitality Learning

A minimal example with PlotOptiX

PlotOptiX is a data visualisation and ray tracing library for Python based on the NVIDIA OptiX framework.

3 min readFeb 5, 2023

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A minimal example with PlotOptiX

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Vitality Learning

The Nyström method

In this post, we will shortly describe the Nyström method [1], a valid alternative to the Method of Moments (MoM) [2] for numerically…

6 min readDec 31, 2022

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The Nyström method

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Vitality Learning

Support Vector Machines with TensorFlow

The Support Vector Machine (SVM) is a supervised machine learning algorithm that can be used for both classification and regression…

7 min readOct 8, 2022

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Support Vector Machines with TensorFlow

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Vitality Learning

Nearest neighbor with TensorFlow

The k-Nearest Neighbors (KNN) algorithm is a supervised learning algorithm and one of the best known and most used approaches in machine…

4 min readSep 29, 2022

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Nearest neighbor with TensorFlow

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Vitality Learning

Vitality Learning

We are teaching, researching and consulting parallel programming on Graphics Processing Units (GPUs) since the delivery of CUDA. We also play Matlab and Python.

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