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In [4]:



    


# li_ikegami
# gridを順番ばらばらでもいいようにした
# grid sizeとvalue sizeが異なる時にerrorを吐くようにした
# 範囲外の値をいれるとerror

function li_ikegami(grid, vals)
    n = length(grid)
    m = length(vals)
    
    if n != m
        print("grid size and value siza is not equal")
    end
    
    mat = [grid vals]
    mat = sortrows(mat, by = x->(x[1]))
    mat = transpose(mat)
    
    grid = mat[1, :]
    vals = mat[2, :]
    
    slope = Array(Float64, n-1)
    for i in 1: (n-1)
        temp_slope = (vals[i] - vals[i+1]) / (grid[i] - grid[i+1])
        slope[i] = temp_slope
    end
    function approx(x_val)
        
        if x_val > maximum(grid)
            return print("too big value ...")
        end
        
        if x_val < minimum(grid)
            return print("too small value ...")
        end
        
        interval = 1
        for j in 1:(n-1)
            if x_val > grid[j+1]
                interval += 1
            else break
            end
        end
        return slope[interval] * (x_val - grid[interval]) + vals[interval]
    end
    
    function approx{T<:Real}(x::AbstractVector{T})
        n = length(x)
        out = Array(Float64, n)
        for i in 1:n
            out[i] = approx(x[i])
        end
        return out
    end
    
    return approx
end



    


















    
Out[4]:








li_ikegami (generic function with 1 method)

















In [5]:



    


grid = [1,2] 
vals = [2,0]
f = li_ikegami(grid, vals)
f(1.25)



    


















    
Out[5]:








1.5

















In [6]:



    


grid2 = [1,2,6,4,5]
vals2 = [3,2,3,1,7]
g = li_ikegami(grid2, vals2)
g([2.3, 3.1])



    


















    
Out[6]:








2-element Array{Float64,1}:
 1.85
 1.45

















In [ ]:



    






    











In [4]:



    


a = [1,2,3]
a[1]



    


















    
Out[4]:








1

















In [9]:



    


# お試し
function test(n)
    function test_2(m)
        return m^n
    return test_2
    end
end



    


















    
Out[9]:








test (generic function with 1 method)

















In [10]:



    


a = test(5)
a(2)



    


















    
Out[10]:








32

















In [52]:



    


b = Array(Float64, 3)
b[1] = 1
b



    


















    
Out[52]:








3-element Array{Float64,1}:
 1.0         
 2.18565e-314
 2.18571e-314

















In [40]:



    


Array[3,5]



    


















    
Out[40]:








2-element Array{Any,1}:
 3
 5

















In [48]:



    


Any[Float64, 3]



    


















    
Out[48]:








2-element Array{Any,1}:
  Float64
 3       

















In [57]:



    


Any[4]



    


















    
Out[57]:








1-element Array{Any,1}:
 4

















In [63]:



    


Array[Float64][2,4]



    


















    






LoadError: MethodError: `convert` has no method matching convert(::Type{Array{T,N}}, ::Type{Float64})
This may have arisen from a call to the constructor Array{T,N}(...),
since type constructors fall back to convert methods.
Closest candidates are:
  Array{T,N}(::Type{T}, !Matched::NTuple{N,Int64})
  Array{T}(::Type{T}, !Matched::Integer)
  Array{T}(::Type{T}, !Matched::Integer, !Matched::Integer)
  ...
while loading In[63], in expression starting on line 1

 in getindex at array.jl:167
















In [70]:



    


Array(Float64, 10)



    


















    
Out[70]:








10-element Array{Float64,1}:
 5.80441e286 
 1.29092e295 
 3.57723e-57 
 3.06927e223 
 7.94633e-61 
 1.29092e295 
 5.12099e-320
 0.0         
 0.0         
 0.0         

















In [84]:



    


slope = Array(Float64, 11)
fill!(slope, 1.0)



    


















    
Out[84]:








11-element Array{Float64,1}:
 1.0
 1.0
 1.0
 1.0
 1.0
 1.0
 1.0
 1.0
 1.0
 1.0
 1.0

















In [109]:



    


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



    


















    
Out[109]:








2x2 Array{Int64,2}:
 1  2
 2  0

















In [97]:



    


sort(vals)



    


















    
Out[97]:








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

















In [101]:



    


# round はおそらく丸め込み
A = round(randn(100,4))



    


















    
Out[101]:








100x4 Array{Float64,2}:
  0.0   0.0  -0.0   1.0
 -0.0  -1.0  -1.0   0.0
 -0.0   0.0   1.0   0.0
  1.0  -1.0   0.0  -0.0
  1.0  -1.0   1.0  -0.0
 -0.0  -0.0  -0.0   1.0
 -2.0   0.0   0.0   0.0
 -1.0   2.0   1.0   0.0
  1.0  -2.0  -2.0   1.0
 -1.0   2.0   1.0   0.0
  2.0  -0.0   1.0  -1.0
 -1.0  -0.0   0.0  -1.0
 -1.0  -2.0  -2.0   1.0
  ⋮                    
  1.0  -2.0   0.0  -1.0
 -0.0  -0.0  -1.0  -2.0
 -3.0   1.0   0.0   0.0
 -1.0   0.0   2.0   1.0
  1.0   2.0   1.0   0.0
 -1.0  -1.0   1.0   0.0
 -0.0  -1.0  -0.0  -1.0
  1.0   2.0   1.0   3.0
 -1.0   2.0  -1.0   2.0
 -0.0   1.0   1.0   0.0
  1.0   1.0   0.0  -1.0
  1.0  -3.0  -0.0   1.0

















In [102]:



    


sortrows(randn(2,3), by=x -> (x[2]))



    


















    
Out[102]:








2x3 Array{Float64,2}:
 0.496597  -0.169945  1.80949 
 0.222282   0.783163  0.495988

















In [106]:



    


seed = 1234
randn(2,3)



    


















    
Out[106]:








2x3 Array{Float64,2}:
 -0.144787   -0.609347  0.7378  
 -0.0878836  -1.30798   0.379081

















In [107]:



    


seed = 1234
sortrows(randn(2,3), by=x -> (x[2]))



    


















    
Out[107]:








2x3 Array{Float64,2}:
  0.987639  0.892506  -1.68416 
 -1.47808   0.908685  -0.157456

















In [125]:



    


# これでいけるね
# この後transposeすれば良い
grid2 = [1,2,3,5,4]
vals2 = [3,2,3,1,5]
mat = [grid2 vals2]
mat = sortrows(mat, by=x->(x[1]))



    


















    
Out[125]:








5x2 Array{Int64,2}:
 1  3
 2  2
 3  3
 4  5
 5  1

















In [132]:



    


# 行の取り出し方
mat[1, :]



    


















    
Out[132]:








1x2 Array{Int64,2}:
 1  3

















In [4]:



    


a = [3,2,1]
maximum(a)



    


















    
Out[4]:








3

















In [1]:



    


Pkg.add("Images")
Pkg.add("DataFrames")
using Images
using DataFrames



    


















    






INFO: Cloning cache of ColorVectorSpace from git://github.com/JuliaGraphics/ColorVectorSpace.jl.git
INFO: Cloning cache of Graphics from git://github.com/JuliaLang/Graphics.jl.git
INFO: Cloning cache of Images from git://github.com/timholy/Images.jl.git
INFO: Cloning cache of SIUnits from git://github.com/Keno/SIUnits.jl.git
INFO: Cloning cache of TexExtensions from git://github.com/Keno/TexExtensions.jl.git
INFO: Cloning cache of Zlib from git://github.com/dcjones/Zlib.jl.git
INFO: Installing ColorVectorSpace v0.1.4
INFO: Installing Graphics v0.1.3
INFO: Installing Images v0.5.4
INFO: Installing SIUnits v0.0.6
INFO: Installing TexExtensions v0.0.3
INFO: Installing Zlib v0.1.12
INFO: Package database updated
INFO: METADATA is out-of-date — you may not have the latest version of Images
INFO: Use `Pkg.update()` to get the latest versions of your packages
INFO: No packages to install, update or remove
INFO: Package database updated
INFO: METADATA is out-of-date — you may not have the latest version of DataFrames
INFO: Use `Pkg.update()` to get the latest versions of your packages
INFO: Precompiling module Images...
INFO: Recompiling stale cache file /Users/susu/.julia/lib/v0.4/DataFrames.ji for module DataFrames.
INFO: Recompiling stale cache file /Users/susu/.julia/lib/v0.4/DataArrays.ji for module DataArrays.
INFO: Recompiling stale cache file /Users/susu/.julia/lib/v0.4/SortingAlgorithms.ji for module SortingAlgorithms.
INFO: Recompiling stale cache file /Users/susu/.julia/lib/v0.4/Docile.ji for module Docile.
WARNING: New definition 
    .-(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:285
is ambiguous with: 
    .-(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:40.
To fix, define 
    .-(Images.AbstractImageDirect, Union{DataArrays.PooledDataArray, DataArrays.DataArray})
before the new definition.
WARNING: New definition 
    ./(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:285
is ambiguous with: 
    ./(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:55.
To fix, define 
    ./(Images.AbstractImageDirect, Union{DataArrays.PooledDataArray, DataArrays.DataArray})
before the new definition.
WARNING: New definition 
    +(AbstractArray, DataArrays.DataArray) at /Users/susu/.julia/v0.4/DataArrays/src/operators.jl:326
is ambiguous with: 
    +(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:18.
To fix, define 
    +(Images.AbstractImageDirect, DataArrays.DataArray)
before the new definition.
WARNING: New definition 
    +(AbstractArray, DataArrays.AbstractDataArray) at /Users/susu/.julia/v0.4/DataArrays/src/operators.jl:349
is ambiguous with: 
    +(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:18.
To fix, define 
    +(Images.AbstractImageDirect, DataArrays.AbstractDataArray)
before the new definition.
WARNING: New definition 
    -(DataArrays.DataArray, AbstractArray) at /Users/susu/.julia/v0.4/DataArrays/src/operators.jl:326
is ambiguous with: 
    -(AbstractArray, Images.AbstractImageDirect) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:37.
To fix, define 
    -(DataArrays.DataArray, Images.AbstractImageDirect)
before the new definition.
WARNING: New definition 
    -(AbstractArray, DataArrays.DataArray) at /Users/susu/.julia/v0.4/DataArrays/src/operators.jl:326
is ambiguous with: 
    -(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:35.
To fix, define 
    -(Images.AbstractImageDirect, DataArrays.DataArray)
before the new definition.
WARNING: New definition 
    -(DataArrays.AbstractDataArray, AbstractArray) at /Users/susu/.julia/v0.4/DataArrays/src/operators.jl:349
is ambiguous with: 
    -(AbstractArray, Images.AbstractImageDirect) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:37.
To fix, define 
    -(DataArrays.AbstractDataArray, Images.AbstractImageDirect)
before the new definition.
WARNING: New definition 
    -(AbstractArray, DataArrays.AbstractDataArray) at /Users/susu/.julia/v0.4/DataArrays/src/operators.jl:349
is ambiguous with: 
    -(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:35.
To fix, define 
    -(Images.AbstractImageDirect, DataArrays.AbstractDataArray)
before the new definition.
WARNING: New definition 
    .+(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}, AbstractArray...) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:297
is ambiguous with: 
    .+(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:22.
To fix, define 
    .+(Images.AbstractImageDirect, Union{DataArrays.PooledDataArray, DataArrays.DataArray})
before the new definition.
WARNING: New definition 
    .<(AbstractArray{Bool, N<:Any}, Union{DataArrays.DataArray{Bool, N<:Any}, DataArrays.PooledDataArray{Bool, R<:Integer, N<:Any}}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:330
is ambiguous with: 
    .<(Images.AbstractImageDirect{Bool, N<:Any}, AbstractArray{Bool, N<:Any}) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:177.
To fix, define 
    .<(Images.AbstractImageDirect{Bool, N<:Any}, Union{DataArrays.DataArray{Bool, N<:Any}, DataArrays.PooledDataArray{Bool, R<:Integer, N<:Any}})
before the new definition.
WARNING: New definition 
    .<(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:285
is ambiguous with: 
    .<(Images.AbstractImageDirect{Bool, N<:Any}, AbstractArray{Bool, N<:Any}) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:177.
To fix, define 
    .<(Images.AbstractImageDirect{Bool, N<:Any}, Union{DataArrays.DataArray{Bool, N<:Any}, DataArrays.PooledDataArray{Bool, R<:Integer, N<:Any}})
before the new definition.
WARNING: New definition 
    .<(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:285
is ambiguous with: 
    .<(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:178.
To fix, define 
    .<(Images.AbstractImageDirect, Union{DataArrays.PooledDataArray, DataArrays.DataArray})
before the new definition.
WARNING: New definition 
    convert(Type{Array{#S<:Any, N<:Any}}, DataArrays.DataArray{#T<:Any, #N<:Any}) at /Users/susu/.julia/v0.4/DataArrays/src/dataarray.jl:357
is ambiguous with: 
    convert(Type{Array{#T<:ColorTypes.Colorant, N<:Any}}, AbstractArray{#S<:Any, #n<:Any}) at /Users/susu/.julia/v0.4/Images/src/core.jl:396.
To fix, define 
    convert(Type{Array{_<:ColorTypes.Colorant, N<:Any}}, DataArrays.DataArray{#T<:Any, #N<:Any})
before the new definition.
WARNING: New definition 
    .*(Union{DataArrays.PooledDataArray, DataArrays.DataArray}, AbstractArray...) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:295
is ambiguous with: 
    .*(AbstractArray, Images.AbstractImageDirect) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:52.
To fix, define 
    .*(Union{DataArrays.PooledDataArray, DataArrays.DataArray}, Images.AbstractImageDirect)
before the new definition.
WARNING: New definition 
    .*(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}, AbstractArray...) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:295
is ambiguous with: 
    .*(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:51.
To fix, define 
    .*(Images.AbstractImageDirect, Union{DataArrays.PooledDataArray, DataArrays.DataArray})
before the new definition.
WARNING: New definition 
    .==(AbstractArray{Bool, N<:Any}, Union{DataArrays.DataArray{Bool, N<:Any}, DataArrays.PooledDataArray{Bool, R<:Integer, N<:Any}}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:330
is ambiguous with: 
    .==(Images.AbstractImageDirect{Bool, N<:Any}, AbstractArray{Bool, N<:Any}) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:181.
To fix, define 
    .==(Images.AbstractImageDirect{Bool, N<:Any}, Union{DataArrays.DataArray{Bool, N<:Any}, DataArrays.PooledDataArray{Bool, R<:Integer, N<:Any}})
before the new definition.
WARNING: New definition 
    .==(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:285
is ambiguous with: 
    .==(Images.AbstractImageDirect{Bool, N<:Any}, AbstractArray{Bool, N<:Any}) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:181.
To fix, define 
    .==(Images.AbstractImageDirect{Bool, N<:Any}, Union{DataArrays.DataArray{Bool, N<:Any}, DataArrays.PooledDataArray{Bool, R<:Integer, N<:Any}})
before the new definition.
WARNING: New definition 
    .==(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:285
is ambiguous with: 
    .==(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:182.
To fix, define 
    .==(Images.AbstractImageDirect, Union{DataArrays.PooledDataArray, DataArrays.DataArray})
before the new definition.
WARNING: New definition 
    .>(AbstractArray{Bool, N<:Any}, Union{DataArrays.DataArray{Bool, N<:Any}, DataArrays.PooledDataArray{Bool, R<:Integer, N<:Any}}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:330
is ambiguous with: 
    .>(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:179.
To fix, define 
    .>(Images.AbstractImageDirect{Bool, N<:Any}, Union{DataArrays.DataArray{Bool, N<:Any}, DataArrays.PooledDataArray{Bool, R<:Integer, N<:Any}})
before the new definition.
WARNING: New definition 
    .>(AbstractArray, Union{DataArrays.PooledDataArray, DataArrays.DataArray}) at /Users/susu/.julia/v0.4/DataArrays/src/broadcast.jl:285
is ambiguous with: 
    .>(Images.AbstractImageDirect, AbstractArray) at /Users/susu/.julia/v0.4/Images/src/algorithms.jl:179.
To fix, define 
    .>(Images.AbstractImageDirect, Union{DataArrays.PooledDataArray, DataArrays.DataArray})
before the new definition.

















In [2]:



    


using TestImages
img = testimage("mandrill")



    


















    






LoadError: ArgumentError: TestImages not found in path
while loading In[2], in expression starting on line 1

 in require at /Applications/Julia-0.4.5.app/Contents/Resources/julia/lib/julia/sys.dylib
















In [4]:



    


using Images
using TestImages



    











In [5]:



    


img = testimage("mandrill")



    


















    






Library QuartzImageIO is not installed but can load format: FileIO









    






WARNING: FileIO.NotInstalledError(:QuartzImageIO,"")
 in checked_import at /Users/susu/.julia/v0.4/FileIO/src/loadsave.jl:12
 in load at /Users/susu/.julia/v0.4/FileIO/src/loadsave.jl:79
 in load at /Users/susu/.julia/v0.4/FileIO/src/loadsave.jl:42
 in testimage at /Users/susu/.julia/v0.4/TestImages/src/TestImages.jl:22
 in include_string at loading.jl:282
 in execute_request_0x535c5df2 at /Users/susu/.julia/v0.4/IJulia/src/execute_request.jl:182
 in eventloop at /Users/susu/.julia/v0.4/IJulia/src/IJulia.jl:142
 in anonymous at task.jl:447
Trying next loading library! Please report this issue on the Github page for QuartzImageIO
WARNING: FileIO.NotInstalledError(:ImageMagick,"")
 in checked_import at /Users/susu/.julia/v0.4/FileIO/src/loadsave.jl:12
 in load at /Users/susu/.julia/v0.4/FileIO/src/loadsave.jl:79
 in load at /Users/susu/.julia/v0.4/FileIO/src/loadsave.jl:42
 in testimage at /Users/susu/.julia/v0.4/TestImages/src/TestImages.jl:22
 in include_string at loading.jl:282
 in execute_request_0x535c5df2 at /Users/susu/.julia/v0.4/IJulia/src/execute_request.jl:182
 in eventloop at /Users/susu/.julia/v0.4/IJulia/src/IJulia.jl:142
 in anonymous at task.jl:447










    






.File{FileIO.DataFormat{:TIFF}}("/Users/susu/.julia/v0.4/TestImages/images/mandrill.tiff")
should we install QuartzImageIO for you? (y/n):
STDIN> 
 is not a valid choice. Try typing y or n
should we install QuartzImageIO for you? (y/n):
STDIN> 
 is not a valid choice. Try typing y or n
should we install QuartzImageIO for you? (y/n):
STDIN> 
 is not a valid choice. Try typing y or n
should we install QuartzImageIO for you? (y/n):
STDIN> y










    






INFO: Start installing QuartzImageIO...
INFO: Cloning cache of QuartzImageIO from git://github.com/JuliaIO/QuartzImageIO.jl.git
INFO: Installing QuartzImageIO v0.1.2
INFO: Package database updated
INFO: METADATA is out-of-date — you may not have the latest version of QuartzImageIO
INFO: Use `Pkg.update()` to get the latest versions of your packages

















In [7]:



    


img = testimage("mandrill")
show(img)



    


















    






INFO: Precompiling module QuartzImageIO...










    






RGB Images.Image with:
  data: 512x512 Array{ColorTypes.RGB{FixedPointNumbers.UFixed{UInt8,8}},2}
  properties:
    imagedescription: <suppressed>
    spatialorder:  x y
    pixelspacing:  1 1
















In [13]:



    


using Plotly



    











In [14]:



    


trace1 = [
  "x" => [1, 2, 3, 4],
  "y" => [10, 15, 13, 17],
  "type" => "scatter"
]
trace2 = [
  "x" => [1, 2, 3, 4],
  "y" => [16, 5, 11, 9],
  "type" => "scatter"
]

response = Plotly.plot([trace1, trace2], ["filename" => "basic-line", "fileopt" => "overwrite"])



    


















    






WARNING: deprecated syntax "[a=>b, ...]" at In[14]:2.
Use "Dict(a=>b, ...)" instead.

WARNING: deprecated syntax "[a=>b, ...]" at In[14]:7.
Use "Dict(a=>b, ...)" instead.

WARNING: deprecated syntax "[a=>b, ...]" at In[14]:12.
Use "Dict(a=>b, ...)" instead.










    






LoadError: Please 'signin(username, api_key)' before proceeding. See
            http://plot.ly/API for help!
while loading In[14], in expression starting on line 12

















In [15]:



    


using PyPlot



    


















    






LoadError: InitError: error compiling __init__: could not load library "/Users/susu/anaconda/lib/libpython2.7.dylib"
dlopen(/Users/susu/anaconda/lib/libpython2.7.dylib.dylib, 1): image not found
during initialization of module PyCall
while loading In[15], in expression starting on line 1

















In [26]:



    


using Gadfly
include("linear_interp.jl")
set_default_plot_size(18cm, 12cm)
grid = [1,2] 
vals = [2,0]
plot(x=grid, y=vals)



    


















    
Out[26]:









  
    x
  
  
    -0.5
    0.0
    0.5
    1.0
    1.5
    2.0
    2.5
    3.0
    3.5
    0.00
    0.05
    0.10
    0.15
    0.20
    0.25
    0.30
    0.35
    0.40
    0.45
    0.50
    0.55
    0.60
    0.65
    0.70
    0.75
    0.80
    0.85
    0.90
    0.95
    1.00
    1.05
    1.10
    1.15
    1.20
    1.25
    1.30
    1.35
    1.40
    1.45
    1.50
    1.55
    1.60
    1.65
    1.70
    1.75
    1.80
    1.85
    1.90
    1.95
    2.00
    2.05
    2.10
    2.15
    2.20
    2.25
    2.30
    2.35
    2.40
    2.45
    2.50
    2.55
    2.60
    2.65
    2.70
    2.75
    2.80
    2.85
    2.90
    2.95
    3.00
    0
    1
    2
    3
    0.0
    0.1
    0.2
    0.3
    0.4
    0.5
    0.6
    0.7
    0.8
    0.9
    1.0
    1.1
    1.2
    1.3
    1.4
    1.5
    1.6
    1.7
    1.8
    1.9
    2.0
    2.1
    2.2
    2.3
    2.4
    2.5
    2.6
    2.7
    2.8
    2.9
    3.0
  

  
    
      
    
    
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
    
    
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
      
    
    
      
        
          
          
        
      
    
    
      
        
        
      
      
        
      
      
        
      
      
        
        
      
    
  

  
    -2.5
    -2.0
    -1.5
    -1.0
    -0.5
    0.0
    0.5
    1.0
    1.5
    2.0
    2.5
    3.0
    3.5
    4.0
    4.5
    -2.0
    -1.9
    -1.8
    -1.7
    -1.6
    -1.5
    -1.4
    -1.3
    -1.2
    -1.1
    -1.0
    -0.9
    -0.8
    -0.7
    -0.6
    -0.5
    -0.4
    -0.3
    -0.2
    -0.1
    0.0
    0.1
    0.2
    0.3
    0.4
    0.5
    0.6
    0.7
    0.8
    0.9
    1.0
    1.1
    1.2
    1.3
    1.4
    1.5
    1.6
    1.7
    1.8
    1.9
    2.0
    2.1
    2.2
    2.3
    2.4
    2.5
    2.6
    2.7
    2.8
    2.9
    3.0
    3.1
    3.2
    3.3
    3.4
    3.5
    3.6
    3.7
    3.8
    3.9
    4.0
    -2
    0
    2
    4
    -2.0
    -1.8
    -1.6
    -1.4
    -1.2
    -1.0
    -0.8
    -0.6
    -0.4
    -0.2
    0.0
    0.2
    0.4
    0.6
    0.8
    1.0
    1.2
    1.4
    1.6
    1.8
    2.0
    2.2
    2.4
    2.6
    2.8
    3.0
    3.2
    3.4
    3.6
    3.8
    4.0
  
  
    y
  


  
  

  
    
  





















In [28]:



    


include("linear_interp.jl")
grid = [1,2] 
vals = [2,0]
f = li_ikegami(grid, vals)
f(1.5)



    


















    






LoadError: invalid redefinition of constant f
while loading In[28], in expression starting on line 4

















In [ ]:

Content source: keiikegami/Linear---Interpolation-

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