Benoît Pasquier briochemc

## InteractiveCorrCoefDemo.jl
### A Pluto.jl notebook ###
# v0.11.14

using Markdown
using InteractiveUtils

# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
macro bind(def, element)
    quote
        local el = $(esc(element))

## WGLMakie_Pluto_bug.jl
### A Pluto.jl notebook ###
# v0.11.12

using Markdown
using InteractiveUtils

# ╔═╡ a8657c36-f1b1-11ea-2d91-ffd1be275a14
begin
	using WGLMakie
	using AbstractPlotting

## Makie_Chord.jl
### A Pluto.jl notebook ###
# v0.11.12

using Markdown
using InteractiveUtils

# ╔═╡ 6b2d70e0-f0c0-11ea-11b1-452aa45f043d
using WGLMakie, AbstractPlotting, JSServe, Colors

# ╔═╡ ce3effa2-f0c1-11ea-1dc5-6fb4da9951c0

## Pluto_plot_fail.jl
### A Pluto.jl notebook ###
# v0.11.12

using Markdown
using InteractiveUtils

# ╔═╡ acb74b48-edc4-11ea-12eb-d9193f5ab64f
using Plots

# ╔═╡ b2c05e44-edc4-11ea-356f-c1042b919836

## Gradients_AllHands_Aug2020_AIBECS.jl
### A Pluto.jl notebook ###
# v0.11.10

using Markdown
using InteractiveUtils

# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
macro bind(def, element)
    quote
        local el = $(esc(element))

## OptimProfileCassette.jl
# Here I store more data as I go,
# which I could use to plot figures comparing methods
# the convergence speed of different methods

# I use the Rosenbrock classic example and
# Optim.jl as an iterative process which will
# call f multiple times to find its minimum
# and I plot the convergence vs time
using Optim, Cassette

## nothing.jl
# Just trying stuff

## dancing_cubes.jl
using AbstractPlotting
using MakieLayout
using GLMakie; GLMakie.activate!()
GLMakie.GLFW.WindowHint(GLMakie.GLFW.FLOATING, 1)
using LinearAlgebra


##

scene = Scene(center = false, raw = true, resolution = (800, 800))

## profiles.svg

      
              3 files
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                briochemc
                / profiles.svg
            
            
              Last active
              June 1, 2020 12:35
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## neighbors_matrix.py
NEIGHBORS_MAP = {
  0: (0, 0, 0, 0, 1, 0, 1, 0, 0, 0),
  1: (0, 0, 0, 0, 0, 0, 1, 0, 1, 0),
  2: (0, 0, 0, 0, 0, 0, 0, 1, 0, 1),
  3: (0, 0, 0, 0, 1, 0, 0, 0, 1, 0),
  4: (1, 0, 0, 1, 0, 0, 0, 0, 0, 1),
  5: (0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
  6: (1, 1, 0, 0, 0, 0, 0, 1, 0, 0),
  7: (0, 0, 1, 0, 0, 0, 1, 0, 0, 0),
  8: (0, 1, 0, 1, 0, 0, 0, 0, 0 ,0),
	### A Pluto.jl notebook ###
	# v0.11.14

	using Markdown
	using InteractiveUtils

	# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
	macro bind(def, element)
	quote
	local el = $(esc(element))
	### A Pluto.jl notebook ###
	# v0.11.12

	using Markdown
	using InteractiveUtils

	# ╔═╡ a8657c36-f1b1-11ea-2d91-ffd1be275a14
	begin
	using WGLMakie
	using AbstractPlotting
	### A Pluto.jl notebook ###
	# v0.11.10

	using Markdown
	using InteractiveUtils

	# This Pluto notebook uses @bind for interactivity. When running this notebook outside of Pluto, the following 'mock version' of @bind gives bound variables a default value (instead of an error).
	macro bind(def, element)
	quote
	local el = $(esc(element))
	# Here I store more data as I go,
	# which I could use to plot figures comparing methods
	# the convergence speed of different methods

	# I use the Rosenbrock classic example and
	# Optim.jl as an iterative process which will
	# call f multiple times to find its minimum
	# and I plot the convergence vs time
	using Optim, Cassette
	using AbstractPlotting
	using MakieLayout
	using GLMakie; GLMakie.activate!()
	GLMakie.GLFW.WindowHint(GLMakie.GLFW.FLOATING, 1)
	using LinearAlgebra


	##

	scene = Scene(center = false, raw = true, resolution = (800, 800))
	NEIGHBORS_MAP = {
	0: (0, 0, 0, 0, 1, 0, 1, 0, 0, 0),
	1: (0, 0, 0, 0, 0, 0, 1, 0, 1, 0),
	2: (0, 0, 0, 0, 0, 0, 0, 1, 0, 1),
	3: (0, 0, 0, 0, 1, 0, 0, 0, 1, 0),
	4: (1, 0, 0, 1, 0, 0, 0, 0, 0, 1),
	5: (0, 0, 0, 0, 0, 0, 0, 0, 0, 0),
	6: (1, 1, 0, 0, 0, 0, 0, 1, 0, 0),
	7: (0, 0, 1, 0, 0, 0, 1, 0, 0, 0),
	8: (0, 1, 0, 1, 0, 0, 0, 0, 0 ,0),