🍀 alles

diego domenzain 2020

🏠 All small projects that need a place to live but are not part of a large project, live here.

• Go to /gallery to see nice pictures (link).
• Go to /projects to run projects.

If running Matlab projects, please set paths first by running the script:

dir_paths.m

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Content

• Optimization

  • Gedanken of joint inversion
  • Gravity inversion
  • Cross-gradient inversion
  • Logistic regression
  • Snow slip
  • Dense circle packing
  • Markowitz portfolio
  • Decision trees & Random forests
  • Bayesian optimization
  • Relative coordinates
  • QR factorization (lapack)

• Dimensionality reduction

  • Self-organizing maps
  • t-SNE
  • Density kernel distribution

• Graph theory algorithms

  • Spanning trees
  • Dijkstra algorithm
  • Mesher
  • Graph signal processing

• Partial differential equations

  • Wave-advection
  • Elastic SV 2D (with CPML & free surface BC)
  • Heat equation
  • Korteweg De Vries
  • Eikonal solver
  • Umfpack demo
  • Pardiso demo
  • Helmholtz-Hodge Decomposition
  • DC pseudo locations
  • EM wave & diffusion

• Squeezing and expanding matrices

  • Compressed sensing
  • Matrix completion
  • Pixelating pics (for face-recognition-free profile pics)
  • Haar wavelet compression
  • Fast Fourier Transform
  • Big Mat (pass-by-reference in Matlab)

• Wave processing

  • MASW
  • FTAN
  • STFT
  • Hyperbolic and linear semblance
  • Beamforming (to find direction of signal)
  • Seismic beachball
  • Harmonic denoising

• Cloud computing

  • Slurm
  • AWS
  • OpenMP

• Visualize

  • Plot output from C
  • Plot output from Fortran
  • Plot output from Julia
  • Fortran in Matlab
  • Matrix inception
  • Compile Matlab scripts
  • Plot in gnuplot

• Deep learning

  • pic2pic. Smooth to rough squares

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Some are written in Matlab, some in C, some in Fortran, some in Julia, some use Python packages.

Some were written by me, some I found in books (as exercises), some are a collage of stuff taken from the internet. Most are proof of concept by example.

Not all are perfect but they all work. They are toy examples.

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