Class: Quasi::LowDiscrepancySequence
- Inherits:
-
Object
- Object
- Quasi::LowDiscrepancySequence
- Defined in:
- lib/LowDiscrepancySequence.rb
Instance Method Summary collapse
-
#initialize(dim) ⇒ LowDiscrepancySequence
constructor
A new instance of LowDiscrepancySequence.
- #L2_discrepancy(n, r) ⇒ Object
- #n_inverse(x) ⇒ Object
- #nextPoint(r) ⇒ Object
-
#nextQuasiNormalVector ⇒ Object
TRANSFORM UNIFORM -> MULTINORMAL need thi, maybe narray.
-
#product(i, j, r) ⇒ Object
L^2-DISCREPANCY.
- #productSQ(i, r) ⇒ Object
- #projectionOut(i, j, nPoints) ⇒ Object
- #restart ⇒ Object
Constructor Details
#initialize(dim) ⇒ LowDiscrepancySequence
Returns a new instance of LowDiscrepancySequence.
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# File 'lib/LowDiscrepancySequence.rb', line 13 def initialize(dim) @dim = dim @index = 1 @x = NArray.float(dim) @y = NArray.float(dim) end |
Instance Method Details
#L2_discrepancy(n, r) ⇒ Object
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# File 'lib/LowDiscrepancySequence.rb', line 50 def L2_discrepancy(n, r) a,b =1.0,1.0 for k in 0..@dim a/=2 b/=3 end sum_1,sum_2 =0.0,0.0 loops=0 for i in 0..n for j in i+1..n sum_1+=product(i,j,r) end end sum_1*=2 for i in 0..n sum_1+=product(i,i,r) end sum_1/=(n*n) #second sum for i in 0..n sum_2+=productSQ(i,r) end sum_2/=n sum_2*=(2.0*a) return Math.sqrt(sum_1-sum_2+b) end |
#n_inverse(x) ⇒ Object
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# File 'lib/LowDiscrepancySequence.rb', line 106 def n_inverse(x) sqrt_two_PI=2.5066282746310 e_1 = -3.969683028665376e+01 e_2 = 2.209460984245205e+02 e_3 = -2.759285104469687e+02 e_4 = 1.383577518672690e+02 e_5 = -3.066479806614716e+01 e_6 = 2.506628277459239e+00 f_1 = -5.447609879822406e+01 f_2 = 1.615858368580409e+02 f_3 = -1.556989798598866e+02 f_4 = 6.680131188771972e+01 f_5 = -1.328068155288572e+01 g_1 = -7.784894002430293e-03 g_2 = -3.223964580411365e-01 g_3 = -2.400758277161838e+00 g_4 = -2.549732539343734e+00 g_5 = 4.374664141464968e+00 g_6 = 2.938163982698783e+00 h_1 = 7.784695709041462e-03 h_2 = 3.224671290700398e-01 h_3 = 2.445134137142996e+00 h_4 = 3.754408661907416e+00 x_l = 0.02425 x_u = 1.0 - x_l #lower if( x < x_l ) z = Math.sqrt(-2.0*Math.log(x)) z = (((((g_1*z+g_2)*z+g_3)*z+g_4)*z+g_5)*z+g_6) / ((((h_1*z+h_2)*z+h_3)*z+h_4)*z+1.0) elsif( x <= x_u ) #central z = x - 0.5; r = z*z z = (((((e_1*r+e_2)*r+e_3)*r+e_4)*r+e_5)*r+e_6)*z / (((((f_1*r+f_2)*r+f_3)*r+f_4)*r+f_5)*r+1.0) #upper else z = Math.sqrt(-2.0*Math.log(1.0-x)) z = -(((((g_1*z+g_2)*z+g_3)*z+g_4)*z+g_5)*z+g_6) / ((((h_1*z+h_2)*z+h_3)*z+h_4)*z+1.0) end return z end |
#nextPoint(r) ⇒ Object
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# File 'lib/LowDiscrepancySequence.rb', line 24 def nextPoint(r) x= nextPoint for k in 0..@dim r[k] = x[k] end end |
#nextQuasiNormalVector ⇒ Object
TRANSFORM UNIFORM -> MULTINORMAL need thi, maybe narray
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# File 'lib/LowDiscrepancySequence.rb', line 91 def nextQuasiNormalVector x=nextPoint() z = Array.new(@dim) for k in 0..@dim-1 z[k]=n_inverse(x[k].to_f); end return z end |
#product(i, j, r) ⇒ Object
L^2-DISCREPANCY
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# File 'lib/LowDiscrepancySequence.rb', line 33 def product(i,j,r) f=1.0 for k in 0..@dim f*=1.0-[r[i][k],r[j][k]].max end return f end |
#productSQ(i, r) ⇒ Object
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# File 'lib/LowDiscrepancySequence.rb', line 41 def productSQ( i, r) f=1.0 for k in 0..@dim f*=(1.0-r[i][k]*r[i][k]) end return f end |
#projectionOut(i, j, nPoints) ⇒ Object
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# File 'lib/LowDiscrepancySequence.rb', line 100 def projectionOut(i,j, nPoints) name=getName puts i,j puts nextPoint(x) end |
#restart ⇒ Object
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# File 'lib/LowDiscrepancySequence.rb', line 20 def restart @index =1 end |