FP                 62 tools/bjoentegaard.cc FP invf(int i,int j,const FP* m)
FP                 71 tools/bjoentegaard.cc     FP inv =
FP                 85 tools/bjoentegaard.cc bool inverseMatrix4x4(const FP *m, FP *out)
FP                 87 tools/bjoentegaard.cc   FP inv[16];
FP                 93 tools/bjoentegaard.cc   FP D = 0;
FP                116 tools/bjoentegaard.cc   FP X[4*n];  // regression matrix
FP                117 tools/bjoentegaard.cc   FP XT[n*4]; // transpose of X
FP                120 tools/bjoentegaard.cc     FP x = log(curve[i].rate) * RATE_NORMALIZATION_FACTOR;
FP                151 tools/bjoentegaard.cc   FP XTX[4*4];
FP                154 tools/bjoentegaard.cc       FP sum=0;
FP                164 tools/bjoentegaard.cc   FP XTXinv[4*4];
FP                179 tools/bjoentegaard.cc   FP XP[n*4];
FP                183 tools/bjoentegaard.cc       FP sum=0;
FP                196 tools/bjoentegaard.cc   FP p[4];
FP                200 tools/bjoentegaard.cc       FP sum=0;
FP                230 tools/bjoentegaard.cc FP evalIntegralAt(const BjoentegaardParams& p, double x)
FP                232 tools/bjoentegaard.cc   FP sum = 0;
FP                266 tools/bjoentegaard.cc   FP intA = evalIntegralAt(paramsA, maxi) - evalIntegralAt(paramsA, mini);
FP                267 tools/bjoentegaard.cc   FP intB = evalIntegralAt(paramsB, maxi) - evalIntegralAt(paramsB, mini);