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MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
sgd
svrg
matlab
big-data
gradient
optimization
quasi-newton
classification
newtons-method
online-learning
machine-learning
linear-regression
variance-reduction
logistic-regression
softmax-classification
optimization-algorithms
gradient-descent-algorithm
machine-learning-algorithms
stochastic-gradient-descent
stochastic-optimization-algorithms
Created
2016-10-26
133 commits to master branch, last one about a year ago
C and Python examples from my book on using PETSc and Firedrake to solve PDEs
Created
2014-09-21
2,460 commits to master branch, last one 3 months ago
Numerical Analysis code from the Oscar Veliz YouTube Channel
brent-dekker
power-method
root-finding
durand-kerner
secant-method
taylor-series
aberth-ehrlich
newton-fractal
newtons-method
halley-s-method
muller-s-method
bisection-method
laguerre-s-method
wegstein-s-method
numerical-analysis
machin-like-forumla
steffensen-s-method
householder-s-method
false-position-method
fixed-point-iteration
Created
2018-03-25
127 commits to master branch, last one 4 months ago
Fatou sets in Julia (Fractals, Newton basins, Mandelbrot)
Created
2017-05-11
69 commits to master branch, last one 10 months ago
PyTorch implementation of the Hessian-free optimizer
Created
2022-07-11
104 commits to main branch, last one 6 months ago