crabmusket

-- A list of possible dates Cheryl's birthday might be on.
possibilities = [(May, 15),    (May, 16),    (May, 19),
                 (June, 17),   (June, 18),
                 (July, 14),   (July, 16),
                 (August, 14), (August, 15), (August, 17)]

-- We say we know the actual date when the list of possibilities is singular.
know ps = length ps == 1

-- Telling someone the month or day will reduce the possibilities.

crabmusket

'use strict';

// Mercury is a 'truly modular frontend framework'. This helpful import gets
// us a lot of top-level symbols from submodules it re-exports.
var hg = require('mercury');
// Like this one - h is a short constructor for HTML elements.
var h = require('mercury').h;
// And since we'll be running this in a browser using beefy, we need a reference
// to the document.
var document = require('global/document');

crabmusket

-- Define a module with the same name as the file.
module StressAnalysis where

-- A Beam is defined by its geometry. Think of this as a class declaration.
data Beam = Circle {
    diameter :: Float -- Member named 'diameter' of type 'Float'
 } deriving (Show)

-- Define functions for common properties of beams. The functions are
-- impleented down the bottom of the file. These functions take a Beam and

crabmusket

-- Main module so that this file can be compiled.
module Main where

-- Import module defined in StressAnalysis.hs (https://gist.github.com/3979818)
import StressAnalysis

-- Main function detemermines what the compiled executable does.
-- At the moment, I want to graph the stress at each element of a section.
main = graphElements

crabmusket

# Step response graphs
# Python 2.7 with numpy, scipy, and matplotlib
# Based on https://gist.github.com/ofan666/1882562

from numpy import min as nmin
from scipy import linspace
from scipy.signal import lti, step
from matplotlib import pyplot as p

def plotLTI(num, den, n = 200):

crabmusket

# Step response graphs
# Python 2.7 with numpy, scipy, and matplotlib
# Based on https://gist.github.com/ofan666/1882562

from numpy import min as nmin
from scipy import linspace
from scipy.signal import lti, step
from matplotlib import pyplot as p

def create_tf(i):

crabmusket

module Main where

import Data.Maybe
import Text.Printf
import Text.Regex.Posix

-- The main function defines what the program does when we compile it.
main = do
    -- Read all data from standard input (until the end of the file).
    file <- getContents

crabmusket

module Main where
import Graphics.Gnuplot.Simple

-- Calculates the scaling factor for an object at distance 'dist'. The object
-- will be at scale 1 until 'max'/2, and then will be exponentially scaled down
-- as it increases. As 'dist' approaches infinity, 'dist * factor max dist'
-- approaches 'max'. See http://goo.gl/xLzrv
factor max dist = if dist < max / 2
    then 1
    else (1 - 1 / 2**(f+1)) / f

crabmusket

module Main where

import Filesystem (getWorkingDirectory)
import Filesystem.Path (extensions)
import System.FSNotify
import System.Exit
import System.Environment
import System.Cmd
import Control.Concurrent
import Control.Monad

crabmusket

module Main where

import Control.Monad (liftM)
import Numeric.LinearAlgebra (readMatrix, multiply, rank, cols, rows, fromBlocks)

main = do
    putStrLn "Enter matrix A (in format \"1 2 3; 4 5 6; 7 8 9\")"
    a <- getMatrix

    putStrLn "Enter matrix B (in format \"1; 2; 3\")"