Keyword : Least squares

D02JAF	Ordinary differential equations, boundary value problem, collocation and least squares, single $n$ th-order linear equation
D02JBF	Ordinary differential equations, boundary value problem, collocation and least squares, system of first-order linear equations
D02TGF	$n$ th-order linear ordinary differential equations, boundary value problem, collocation and least squares
E02ADF	Least squares curve fit, by polynomials, arbitrary data points
E02AFF	Least squares polynomial fit, special data points (including interpolation)
E02AGF	Least squares polynomial fit, values and derivatives may be constrained, arbitrary data points
E02BAF	Least squares curve cubic spline fit (including interpolation)
E02BEF	Least squares cubic spline curve fit, automatic knot placement
E02CAF	Least squares surface fit by polynomials, data on lines parallel to one independent coordinate axis
E02DAF	Least squares surface fit, bicubic splines
E02DCF	Least squares surface fit by bicubic splines with automatic knot placement, data on rectangular grid
E02DDF	Least squares surface fit by bicubic splines with automatic knot placement, scattered data
E02DHF	Evaluation of spline surface at mesh of points with derivatives
E04NCF	Convex QP problem or linearly-constrained linear least squares problem (dense)
E04PCF	Computes the least squares solution to a set of linear equations subject to fixed upper and lower bounds on the variables. An option is provided to return a minimal length solution if a solution is not unique
E04YCF	Covariance matrix for nonlinear least squares problem (unconstrained)
F04AMF	Least squares solution of $m$ real equations in $n$ unknowns, rank $= n$ , $m \geq n$ using iterative refinement (Black Box)
F04JGF	Least squares (if rank $= n$ ) or minimal least squares (if rank $< n$ ) solution of $m$ real equations in $n$ unknowns, $m \geq n$
F04QAF	Sparse linear least squares problem, $m$ real equations in $n$ unknowns
F04YAF	Covariance matrix for linear least squares problems, $m$ real equations in $n$ unknowns
F08BAF	Computes the minimum-norm solution to a real linear least squares problem
F08BNF	Computes the minimum-norm solution to a complex linear least squares problem
F08KAF	Computes the minimum-norm solution to a real linear least squares problem using singular value decomposition
F08KCF	Computes the minimum-norm solution to a real linear least squares problem using singular value decomposition (divide-and-conquer)
F08KNF	Computes the minimum-norm solution to a complex linear least squares problem using singular value decomposition
F08KQF	Computes the minimum-norm solution to a complex linear least squares problem using singular value decomposition (divide-and-conquer)
F08ZAF	Solves the real linear equality-constrained least squares (LSE) problem
F08ZNF	Solves the complex linear equality-constrained least squares (LSE) problem

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Keyword Index for the NAG Library Manual

NAG Library Manual