jiahao

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jiahao

function normtypes(S) #For the first post, comparing vector outputs with naive definitions
  try
    R0 = typeof(abs(one(S))^0+abs(one(S))^0)
    R1 = typeof(abs(one(S))+abs(one(S)))
    Rp = typeof(sqrt(abs(one(S))^2+abs(one(S))^2))
    Ri = typeof(maximum(abs(one(S))))
    Ri2 = typeof(abs(one(S)))
    R0i = typeof(norm([one(S)], 0))
    R1i = typeof(norm([one(S)], 1))
    Rpi = typeof(norm([one(S)]))

jiahao

"""
estimate_coeffs

August, 2015
Anna C. Gilbert

input: xs = samples of signal
  	 Λ = list of (freq,coeff) pairs in current approx
  	 Ω = list of (freq,coeff) pairs found in this iteration
       k = length of short filter

jiahao

include("rankstability.jl")

info("Julia semantics")

axiomsused = Dict()
@axiom matmul Mat * Mat --> Mat
@axiom mattrans transpose(Mat) --> Mat
@axiom matdiv Mat / Mat --> Mat
@axiom matvec Mat * Vec --> Vec

jiahao

# Hypergeometric random variate generators
#
# (c) 2013 Jiahao Chen <jiahao@mit.edu>
#
# This file implements several random variate generators as described in the
# reference paper.
#
# Algorithm   Function
# HBU         randhg_hbu
# HIN         randhg_hin

jiahao

Process:         julia-readline [12132]
Path:            /Users/USER/*/julia-readline
Identifier:      julia-readline
Version:         ???
Code Type:       X86-64 (Native)
Parent Process:  Vim [11995]
Responsible:     MacVim [11340]
User ID:         502

Date/Time:       2013-10-28 23:52:40.788 -0400

jiahao

import Base.fetch; fetch(t::Vector) = [fetch(tt) for tt in t]
import Base.length; length(r1::RemoteRef)=length(fetch(r1))
addprocs(8-nprocs()) #Run on 8 processors

chunkrange(i, nc) = floor((i-1)*nc)+1:floor(i*nc)
function chunk(z, n)
    nc = length(z)/n
    y = Vector{typeof(z[1])}[]
    for i=1:n #Number of chunks
        push!(y, (typeof(z[1]))[])

jiahao

/* Experimental typographically tinkered IJulia stylesheet
 * Copyright © 2013 Jiahao Chen <jiahao@mit.edu>
 * MIT License
 *
 * To use, place in ~/.ipython/profile_julia/static/custom/custom.css
 * and refresh IJulia
 * 
 * Based on suggestions from practicaltypography.com
 */

jiahao

using Images
using JSON
auth_token=#Put your auth_token here
download("https://api.github.com/repos/JuliaLang/julia/contributors?access_token=$(auth_token)", "julia_contribs.json")
authors=JSON.parse(open("julia_contribs.json"))
for (idx, author) in enumerate(authors)
  authorname=author["login"]
  gravatar_filename = string("avatar_", authorname, ".png")
  download(author["avatar_url"], gravatar_filename)
  theimage = Images.imread(gravatar_filename)

jiahao

warning off;
 
function assert(bool)
   if ~bool
     error('Assertion failed')
   end
endfunction
 
function timeit(name, func, varargin1)
    lang = 'scilab';