# Keyword : Sum

 C06DCF Sum of a Chebyshev series at a set of points E04FCF Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using function values only (comprehensive) E04FYF Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using function values only (easy-to-use) E04GBF Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm using first derivatives (comprehensive) E04GDF Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using first derivatives (comprehensive) E04GYF Unconstrained minimum of a sum of squares, combined Gauss–Newton and quasi-Newton algorithm, using first derivatives (easy-to-use) E04GZF Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm using first derivatives (easy-to-use) E04HEF Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm, using second derivatives (comprehensive) E04HYF Unconstrained minimum of a sum of squares, combined Gauss–Newton and modified Newton algorithm, using second derivatives (easy-to-use) E04USF Minimum of a sum of squares, nonlinear constraints, sequential QP method, using function values and optionally first derivatives (comprehensive) E04YBF Check user's routine for calculating Hessian of a sum of squares F01CTF Sum or difference of two real matrices, optional scaling and transposition F01CWF Sum or difference of two complex matrices, optional scaling and transposition F06EKF Sum absolute values of real vector elements F06JKF Sum absolute values of complex vector elements F16DLF Sum elements of integer vector F16ELF Sum elements of real vector F16GLF Sum elements of complex vector G02BTF Update a weighted sum of squares matrix with a new observation G02BUF Computes a weighted sum of squares matrix G02BWF Computes a correlation matrix from a sum of squares matrix G02BZF Combines two sums of squares matrices, for use after G02BUF G02EAF Computes residual sums of squares for all possible linear regressions for a set of independent variables G02ECF Calculates ${R}^{2}$ and ${C}_{P}$ values from residual sums of squares G04DAF Computes sum of squares for contrast between means

© The Numerical Algorithms Group Ltd, Oxford UK. 2013