lsie_ln | R Documentation |
solve linear least square problem (min ||A%%x-b||) with inequality constraints u%%x>=co and equality constraints e%*%x=ce Method: reduce the pb to lsi_ln on the null-space of e
lsie_ln(
a,
b,
u = NULL,
co = NULL,
e = NULL,
ce = NULL,
rcond = 1e+10,
mnorm = NULL,
x0 = NULL
)
a |
dense matrix A or its QR decomposition |
b |
right hand side vector |
u |
dense matrix of inequality constraints |
co |
right hand side vector of inequality constraints |
e |
dense matrix of equality constraints |
ce |
right hand side vector of equality constraints |
rcond |
maximal condition number for determining rank deficient matrix |
mnorm |
matrix to be used to minimize the norm ||mnorm%*%x|| in case of under-dermined system. If mnorm is NULL (default), it is |
x0 |
vector from which minimal norm should be searched when required |
solution vector whose attribute 'mes' may contain a message about possible numerical problems
lsi_ln
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