knotoptim: Optimization of knot appearance
In knotR: Knot Diagrams using Bezier Curves

Description Usage Arguments Details Value Author(s) See Also Examples

Optimization of knot appearance using user-definable objective functions

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knotoptim(svg, weights=1, symobj=NULL,
  Mver = NULL, xver = NULL, Mhor = NULL, xhor = NULL, Mrot = NULL,
  mcdonalds = FALSE, celtic = FALSE, ou, prob = 0, useNLM=TRUE, ...)

`svg`	Name of an svg file to read
`Mver,xver,Mhor,xhor,Mrot,mcdonalds,celtic`	Arguments passed to `symmetry_object()`, specifying the symmetry of the knot
`symobj`	A symmetry object
`ou`	An overunder object
`prob`	The probability of plotting a knotplot; this is slow so don't make this too big
`weights`	A vector of weights, defaulting to all ones, passed to `badness()`
`useNLM`	Boolean, with default `TRUE` meaning to use `nlm()` and `FALSE` meaning to use `optim()`
`...`	Further arguments passed to `nlm()`

Function knotoptim() is a generic optimization routine that starts from an svg file and minimizes the knot's badness.

Returns a knot object

Robin K. S. Hankin

symmetry_object, badness

## Not run:     #takes too long
knotoptim(
      svg = system.file("4_1_first_draft.svg",package="knotR"),
     Mver = rbind(c(2,3),c(9,7),c(10,6),c(1,4),c(5,11)),
     xver = 8,   # node on vertical axis
     ou   = rbind( c(1,5), c(9,2), c(4,8),c(6,11)),
     prob = 0.1,
  iterlim = 100, print.level=2)

## End(Not run)