In [45]:

    

#課題1　修正版　　高橋　雅士　
#関数の定義はここ　https://github.com/masashitshit/Interpolations.jl/blob/master/src/Interpolations.jl")
using Interpolations


    

In [46]:

    

grid = [1,2]
vals = [2,0]


    

    
Out[46]:





2-element Array{Int64,1}:
 2
 0

In [47]:

    

f = linerinterp(grid,vals)


    

    
Out[47]:





(::funfun) (generic function with 1 method)

In [48]:

    

f(1.25)


    

    
Out[48]:





1.5

In [49]:

    

using Plots


    

    




WARNING: using Plots.grid in module Main conflicts with an existing identifier.

In [50]:

    

plotlyjs()


    

    







 
 
Plotly javascript loaded.
 
To load again call 
init_notebook(true)

 






    




WARNING: Method definition describe





    
Out[50]:





Plots.PlotlyJSBackend()






    




(AbstractArray) in module StatsBase at C:\Users\Masashi Takahashi\.julia\v0.5\StatsBase\src\scalarstats.jl:573 overwritten in module DataFrames at C:\Users\Masashi Takahashi\.julia\v0.5\DataFrames\src\abstractdataframe\abstractdataframe.jl:407.

In [51]:

    

grid2 = -5:5　　　　　　　　　　　　　　#cosxを線形補間してみる
vals2 = cos(grid2)
f = linerinterp(grid2,vals2)

grid3 =linspace(-5, 5,1000)
vals3 = cos(grid3)


    

    
Out[51]:





1000-element Array{Float64,1}:
 0.283662
 0.274049
 0.264409
 0.254742
 0.24505 
 0.235333
 0.225592
 0.215829
 0.206044
 0.196239
 0.186414
 0.17657 
 0.166709
 ⋮       
 0.17657 
 0.186414
 0.196239
 0.206044
 0.215829
 0.225592
 0.235333
 0.24505 
 0.254742
 0.264409
 0.274049
 0.283662

In [52]:

    

plot(f)
plot!(grid3,vals3)


    

    
Out[52]:

In [53]:

    

grid = -5:5　　　　　　　　　　　　　　　　　　#sinxを線形補間してみる
vals = sin(grid)
f = linerinterp(grid,vals)

grid1 =linspace(-5, 5,1000)
vals1 = sin(grid1)


    

    
Out[53]:





1000-element Array{Float64,1}:
  0.958924
  0.961716
  0.964411
  0.967009
  0.969511
  0.971915
  0.974222
  0.976431
  0.978543
  0.980556
  0.982471
  0.984288
  0.986006
  ⋮       
 -0.984288
 -0.982471
 -0.980556
 -0.978543
 -0.976431
 -0.974222
 -0.971915
 -0.969511
 -0.967009
 -0.964411
 -0.961716
 -0.958924

In [54]:

    

plot(f)
plot!(grid1,vals1)


    

    
Out[54]:

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