Math

• CL_chebyshevEval — Evaluation of Chebyshev polynomials (of first or second kind)
• CL_chebyshevPoly — Chebyshev polynomials (of first or second kind)
• CL_cor2cov — Correlation to covariance matrix
• CL_cov2cor — Covariance to correlation matrix
• CL_covDraw — Random values from covariance
• CL_cross — Cross product of column vectors
• CL_dMult — Dot multiplication (matrices or hypermatrices)
• CL_detectSign — Intervals of positive or negative values
• CL_detectZero — Zero crossing detection
• CL_dot — Dot product of column vectors
• CL_evalPoly — Evaluation of polynomial or polynomial derivatives
• CL_fsolveb — Zero of function knowing bounds
• CL_gcd — Greatest common divisor (gcd or pgcd)
• CL_integrate — Integration of a function defined by a data series
• CL_interpLagrange — Lagrange interpolation
• CL_interpLin — Linear interpolation
• CL_intervDiff — Difference of sets of intervals
• CL_intervInters — Intersection of sets of intervals
• CL_intervInv — Inversion of a a sets of intervals (complementary intervals)
• CL_intervLinspace — Sub-division of intervals
• CL_intervSelectIn — Values inside intervals
• CL_intervUnion — Union of sets of intervals
• CL_lagrangeFitPoly — Lagrange polynomial
• CL_legendrePoly — Legendre polynomials
• CL_mean — Mean value based on quadrature
• CL_norm — Euclidian norm of column vectors
• CL_quantile — Quantiles of a data set (inverse of cumulative distribution function)
• CL_rMod — Modulo with result in range
• CL_sphHarmGrad — Spherical harmonics - gradient
• CL_sphHarmVal — Spherical harmonics - value
• CL_stat — Statistics on samples
• CL_stumpC — Stumpff function C(z)
• CL_stumpS — Stumpff function S(z)
• CL_unMod — Makes data continuous (removes "modulo")
• CL_unitVector — Vector normalization
• CL_vectAngle — Angle between vectors