Given the set of data points (x(i),y(i)) and positive weights w(i) this determines a least-squares cubic spline approximation which satisfies local convexity and concavity constraints. The user must provide the knot locations. (See P. Dierckx, Computing 24 (1980) pp. 349-371.). Classes : K1a2a . Linearly constrained linear least squares approximation Type : Fortran subroutine in DIERCKX package. Access : Some uses prohibited. Portable. Precision: Single. Note : This module is bundled with other DIERCKX routines : CLOCUR, COCSP, CONCUR, CURFIT, PARCUR, PERCUR. Usage : CALL COCOSP (M, X, Y, W, N, T, E, MAXTR, MAXBIN, C, SQ, SX, BIND, WRK, LWRK, IWRK, KWRK, IER) Details : Fullsource Source Sites : (1) NETLIB
NETLIB: Public access repository, The University of Tennessee at Knoxville and Bell Laboratories Precision: Single. Note : This module is bundled with other DIERCKX routines : CLOCUR, COCSP, CONCUR, CURFIT, PARCUR, PERCUR. You may access components from NETLIB outside GAMS as follows. Source : echo 'send only cocosp from dierckx' | mail netlib@ornl.gov Fullsource : echo 'send cocosp from dierckx' | mail netlib@ornl.gov
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