In [2]:

    

Pkg.add("Optim")


    

    




INFO: Cloning cache of Calculus from git://github.com/johnmyleswhite/Calculus.jl.git
INFO: Cloning cache of DualNumbers from git://github.com/JuliaDiff/DualNumbers.jl.git
INFO: Cloning cache of NaNMath from git://github.com/mlubin/NaNMath.jl.git
INFO: Cloning cache of Optim from git://github.com/JuliaOpt/Optim.jl.git
INFO: Installing Calculus v0.1.10
INFO: Installing DualNumbers v0.1.3
INFO: Installing NaNMath v0.1.0
INFO: Installing Optim v0.4.2
INFO: Package database updated
INFO: METADATA is out-of-date — you may not have the latest version of Optim
INFO: Use `Pkg.update()` to get the latest versions of your packages

In [3]:

    

using Optim


    

    




INFO: Precompiling module NaNMath...

In [10]:

    

optimize(x -> x*x -2 , -5, 5).f_minimum


    

    
Out[10]:





-2.0

In [16]:

    

typeof(optimize( x -> x[1]*x[1] + 3*(x[2]-2)*x[2], [0.5,1.0]))


    

    
Out[16]:





Optim.MultivariateOptimizationResults{Float64,1}

In [5]:

    

sub2ind((3,4), (4,1)...)


    

    
Out[5]:





4

In [6]:

    

clamp((4,1), (0,0), (3,4))


    

    
Out[6]:





(3,4)

In [7]:

    

?clamp


    

    




search: 





    
Out[7]:





clamp(x, lo, hi)
Return x if lo <= x <= hi. If x < lo, return lo. If x > hi, return hi. Arguments are promoted to a common type. Operates elementwise over x if it is an array.







    




clamp clamp!

In [8]:

    

clamp(4,0,3)


    

    
Out[8]:





3

In [9]:

    

clamp(1,0,4)


    

    
Out[9]:





1

In [11]:

    

for i in (1,2,3)
    print(i)
end


    

    




123

In [12]:

    

length((1,2,3))


    

    
Out[12]:





3

In [15]:

    

(2,2) < (2,3)


    

    
Out[15]:





true

In [ ]: