Added GL-derivative to RegularizationMatrix function
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1 changed files with 15 additions and 3 deletions
18
src/TR.jl
18
src/TR.jl
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@ -62,16 +62,28 @@ end
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function regularizationMatrix(p::Int64; regType="L2", regParam1=0, regParam2=1e-14)
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function regularizationMatrix(p::Int64; regType="L2", regParam1=0, regParam2=1e-14)
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if regType == "bc"
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if regType == "bc" # Discrete derivative with boundary conditions
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regMat = [I(p); zeros(regParam1,p)]; for i = 1:regParam1 regMat = diff(regMat, dims = 1); end
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regMat = [I(p); zeros(regParam1,p)]; for i = 1:regParam1 regMat = diff(regMat, dims = 1); end
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elseif regType == "legendre"
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elseif regType == "legendre" # Fill in polynomials in bottom row(s) to get square matrix
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regMat = [I(p); zeros(regParam1,p)]; for i = 1:regParam1 regMat = diff(regMat, dims = 1); end
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regMat = [I(p); zeros(regParam1,p)]; for i = 1:regParam1 regMat = diff(regMat, dims = 1); end
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P, _ = plegendre(regParam1-1, p);
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P, _ = plegendre(regParam1-1, p);
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regMat[end-regParam1+1:end,:] = sqrt(regParam2) * P;
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regMat[end-regParam1+1:end,:] = sqrt(regParam2) * P;
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elseif regType == "L2"
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elseif regType == "L2"
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regMat = I(p);
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regMat = I(p);
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elseif regType == "std"
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elseif regType == "std" # Standardization
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regMat = regParam2;
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regMat = regParam2;
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elseif regType == "GL" # Grünwald-Letnikov fractional derivative regulariztion
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# regParam1 is alpha (order of fractional derivative)
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C = ones(p)*1.0;
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for k in 2:p
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C[k] = (-1)^(k-1) * (1-(regParam1+1)/k) * C[k-1];
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end
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regMat = zeros(p,p);
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for i in 1:p
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regMat[i:end, i] = regMat[1:end-i+1];
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end
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end
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end
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return regMat
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return regMat
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