multiply spectra by coefficients and return modified object

1 2 3 4 5 |

`x` |
a |

`s` |
a scalar, an M-vector, or an MxP matrix |

`norm` |
one of |

For `multiply`

:

If `s`

is an MxP matrix, say **S**, and one thinks of the spectra as
organized in an NxM matrix **X**,
then the new spectra are defined by the matrix **XS**, which is NxP.
If the P column names of `s`

are set, then they are copied to the spectrum names of the output.
Otherwise, default spectrum names are assigned as in `colorSpec`

.

If `s`

is an M-vector, then **S**=`diag(s)`

is computed and used in the previous sentence.
This has the effect of multiplying spectrum i by `s`

[i].

If `s`

is a scalar then every spectrum is multiplied by `s`

.

The multiplication may produce negative entries, but no check is made for this.

WARNING: An M-vector and an Mx1 matrix may yield quite different results.

For `normalize`

:

`normalize`

calls `multiply`

with `s`

= an M-vector.
If the norm of a spectrum is 0, then it is left unchanged.

`multiply`

returns a **colorSpec** object with the matrix of spectra
of `x`

multiplied by `s`

.

`normalize`

returns a **colorSpec** object with each spectrum
of `x`

scaled to have given norm equal to 1.

In both functions, the `quantity`

and `wavelength`

are preserved.

If `x`

is organized as a matrix, and `s`

is a scalar,
the one can use the simpler and equivalent `s*x`

.

`product`

,
`quantity`

,
`wavelength`

,
`colorSpec`

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