tdf#156866 use mSize instead of mPixelSize for inverted surface
[LibreOffice.git] / hwpfilter / source / cspline.cxx
blob0fdbd26a71b8c94966e3eaa16a8d822d3594d279
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20 // Natural, Clamped, or Periodic Cubic Splines
22 // Input: A list of N+1 points (x_i,a_i), 0 <= i <= N, which are sampled
23 // from a function, a_i = f(x_i). The function f is unknown. Boundary
24 // conditions are
25 // (1) Natural splines: f"(x_0) = f"(x_N) = 0
26 // (2) Clamped splines: f'(x_0) and f'(x_N) are user-specified.
27 // (3) Periodic splines: f(x_0) = f(x_N) [in which case a_N = a_0 is
28 // required in the input], f'(x_0) = f'(x_N), and f"(x_0) = f"(x_N).
30 // Output: b_i, c_i, d_i, 0 <= i <= N-1, which are coefficients for the cubic
31 // spline S_i(x) = a_i + b_i(x-x_i) + c_i(x-x_i)^2 + d_i(x-x_i)^3 for
32 // x_i <= x < x_{i+1}.
34 // The natural and clamped algorithms were implemented from
36 // Numerical Analysis, 3rd edition
37 // Richard L. Burden and J. Douglas Faires
38 // Prindle, Weber & Schmidt
39 // Boston, 1985, pp. 122-124.
41 // The algorithm sets up a tridiagonal linear system of equations in the
42 // c_i values. This can be solved in O(N) time.
44 // The periodic spline algorithm was implemented from my own derivation. The
45 // linear system of equations is not tridiagonal. For now I use a standard
46 // linear solver that does not take advantage of the sparseness of the
47 // matrix. Therefore for very large N, you may have to worry about memory
48 // usage.
50 #include <sal/config.h>
51 #include <memory>
53 #include "cspline.h"
54 #include "solver.h"
56 void NaturalSpline (int N, const double* x, const double* a, std::unique_ptr<double[]>& b, std::unique_ptr<double[]>& c,
57 std::unique_ptr<double[]>& d)
59 const double oneThird = 1.0/3.0;
61 int i;
62 std::unique_ptr<double[]> h(new double[N]);
63 std::unique_ptr<double[]> hdiff(new double[N]);
64 std::unique_ptr<double[]> alpha(new double[N]);
66 for (i = 0; i < N; i++){
67 h[i] = x[i+1]-x[i];
70 for (i = 1; i < N; i++)
71 hdiff[i] = x[i+1]-x[i-1];
73 for (i = 1; i < N; i++)
75 double numer = 3.0*(a[i+1]*h[i-1]-a[i]*hdiff[i]+a[i-1]*h[i]);
76 double denom = h[i-1]*h[i];
77 alpha[i] = numer/denom;
80 std::unique_ptr<double[]> ell(new double[N+1]);
81 std::unique_ptr<double[]> mu(new double[N]);
82 std::unique_ptr<double[]> z(new double[N+1]);
83 double recip;
85 ell[0] = 1.0;
86 mu[0] = 0.0;
87 z[0] = 0.0;
89 for (i = 1; i < N; i++)
91 ell[i] = 2.0*hdiff[i]-h[i-1]*mu[i-1];
92 recip = 1.0/ell[i];
93 mu[i] = recip*h[i];
94 z[i] = recip*(alpha[i]-h[i-1]*z[i-1]);
96 ell[N] = 1.0;
97 z[N] = 0.0;
99 b.reset(new double[N]);
100 c.reset(new double[N+1]);
101 d.reset(new double[N]);
103 c[N] = 0.0;
105 for (i = N-1; i >= 0; i--)
107 c[i] = z[i]-mu[i]*c[i+1];
108 recip = 1.0/h[i];
109 b[i] = recip*(a[i+1]-a[i])-h[i]*(c[i+1]+2.0*c[i])*oneThird;
110 d[i] = oneThird*recip*(c[i+1]-c[i]);
114 void PeriodicSpline (int N, const double* x, const double* a, std::unique_ptr<double[]>& b, std::unique_ptr<double[]>& c,
115 std::unique_ptr<double[]>& d)
117 std::unique_ptr<double[]> h(new double[N]);
118 int i;
119 for (i = 0; i < N; i++)
120 h[i] = x[i+1]-x[i];
122 std::unique_ptr<std::unique_ptr<double[]>[]> mat = mgcLinearSystemD::NewMatrix(N+1); // guaranteed to be zeroed memory
123 c = mgcLinearSystemD::NewVector(N+1); // guaranteed to be zeroed memory
125 // c[0] - c[N] = 0
126 mat[0][0] = +1.0f;
127 mat[0][N] = -1.0f;
129 // h[i-1]*c[i-1]+2*(h[i-1]+h[i])*c[i]+h[i]*c[i+1] =
130 // 3*{(a[i+1]-a[i])/h[i] - (a[i]-a[i-1])/h[i-1]}
131 for (i = 1; i <= N-1; i++)
133 mat[i][i-1] = h[i-1];
134 mat[i][i ] = 2.0f*(h[i-1]+h[i]);
135 mat[i][i+1] = h[i];
136 c[i] = 3.0f*((a[i+1]-a[i])/h[i] - (a[i]-a[i-1])/h[i-1]);
139 // "wrap around equation" for periodicity
140 // h[N-1]*c[N-1]+2*(h[N-1]+h[0])*c[0]+h[0]*c[1] =
141 // 3*{(a[1]-a[0])/h[0] - (a[0]-a[N-1])/h[N-1]}
142 mat[N][N-1] = h[N-1];
143 mat[N][0 ] = 2.0f*(h[N-1]+h[0]);
144 mat[N][1 ] = h[0];
145 c[N] = 3.0f*((a[1]-a[0])/h[0] - (a[0]-a[N-1])/h[N-1]);
147 // solve for c[0] through c[N]
148 mgcLinearSystemD::Solve(N+1,mat,c.get());
150 const double oneThird = 1.0/3.0;
151 b.reset(new double[N]);
152 d.reset(new double[N]);
153 for (i = 0; i < N; i++)
155 b[i] = (a[i+1]-a[i])/h[i] - oneThird*(c[i+1]+2.0f*c[i])*h[i];
156 d[i] = oneThird*(c[i+1]-c[i])/h[i];
160 /* vim:set shiftwidth=4 softtabstop=4 expandtab: */