Computational Mindset by Ettore Messina
en     it
  • GitHub
  • LinkedIn
  • Twitter
  • Facebook
  • YouTube
  • WordPress

Computational Mindset - Info

Science & Technology Website

Computational Mindset - Ettore Messina

This website deals with scientific and technological topics on computation in general and pays particular attention to deep learning and therefore to neural networks, to which a special section is dedicated; there is also a specific section on quantum computing.

The technologies used for neural networks are TensorFlow and PyTorch with Python 3.x and Flux with Julia 1.x; as a rule, whenever possible, the code relating to case studies on neural networks is written for both technologies.
With regard to quantum computing, the technologies involved are usually three: QASM on IBM Quantum Computing, Qiskit always on IBM Quantum Computing and the Q# language of Microsoft on .NET Core; here too, whenever possible, the code relating to case studies on quantum computing is written with these three technologies.
On computation in general numerical calculation issues are addressed; also it addresses other issues like numerical solutions to complex mathematical problems, operational research algorithms and other scientific and technological problems on the border between mathematics and computer science.

Topics are presented in post form; the website is constantly updated but the publication of new posts does not follow any regular periodicity. The texts, the code and any other material present here are original; the code is normally published on GitHub under MIT license.

The code is not to be considered professional as it was not written to solve complex real-world cases, but was designed and written only for dissemination, study or experimentation purposes.


This website is closely related to the following systems:

  • My web space on GitHub  which hosts the code of the programs dealt in the posts.
  • The LinkedIn page Computational Mindset  which informs about posts published on this website.
  • The Twitter account Computational Mindset  which informs about posts published on this website.
  • The FaceBook page Computational Mindset  which informs about posts published on this website.
  • The YouTube  channel for multimedia content.
  • This website social media channels available on Computational Mindset's Link Tree 
  • My social media channels available on Ettore Messina's Link Tree 
  • My tech blog available on Ettore Messina Tech Blog 
Ettore Messina
Pistoia, ITALY

Computational Mindset

Menu

  • Home
  • Neural Networks
    • INDEX
    • Pruning of neural networks with TensorFlow
    • Differential Equations and Neural Networks
    • Forecast of a univariate equally spaced time series with TensorFlow
    • Fitting with highly configurable multi layer perceptrons
  • Quantum Computing
    • INDEX
    • NOT and C-NOT quantum gates
    • Random Numbers Generation
    • Cascade Hadamard Gates
  • Machine Learning
    • INDEX
    • Common tools for function fitting
    • Fitting functions with PyCaret
    • Fitting functions with a configurable XGBoost regressor
    • Fitting functions with a configurable Support Vector Regressor
    • Polynomial regression with Accord.NET
    • SMO regression for SVM with PUK kernel in Weka
    • SMO forecast for SVM with polynomial kernel in Weka
  • Mathematics
    • INDEX
    • Fourier Series in Python
    • Solving delay differential equations using numerical methods in Python
    • Integral Calculus in Python
    • Analyzer of a constant coefficient linear and homogeneous dynamical system on plane
    • Analyzer of a nonlinear autonomous dynamical system on the plane by Hartman-Grobman theorem
    • Experiments with SymPy to solve first-order ordinary differential equations
    • A method to solve first-order time delay differential equation using Lambert W function
  • High Performance
    • INDEX
    • High-Performance Computing of Discrete Single Variable Derivative with CUDA
    • High-Performance Computing of Discrete Two Variable Partial Derivatives with CUDA
    • Numerical Integration with CUDA: Accelerating Calculations on the GPU
  • Datasets
    • INDEX
    • 'Functions' dataset collection
    • 'Time Series' dataset collection
    • 'Synthetic Words' dataset
  • Info

Neural Networks

Quantum Computing

Design based on 'Editorial' template (with customization) downloaded from HTML5 UP.
Click on links to see LICENSE.txt and README.txt files of 'Editorial' template by HTML5 UP.

© Ettore Messina.