Learn R Programming

set6 (version 0.2.4)

setproduct: Cartesian Product of Sets

Description

Returns the cartesian product of objects inheriting from class Set.

Usage

setproduct(..., simplify = FALSE, nest = FALSE)

# S3 method for Set *(x, y)

Arguments

...
simplify

logical, if TRUE returns the result in its simplest (unwrapped) form, usually a Set otherwise a ProductSet.

nest

logical, if FALSE (default) then will treat any ProductSets passed to ... as unwrapped Sets. See details and examples.

x, y

Value

Either an object of class ProductSet or an unwrapped object inheriting from Set.

Details

The cartesian product of multiple sets, the 'n-ary Cartesian product', is often implemented in programming languages as being identical to the cartesian product of two sets applied recursively. However, for sets \(X, Y, Z\), $$XYZ \ne (XY)Z$$ This is accommodated with the nest argument. If nest == TRUE then \(X*Y*Z == (X <U+00D7> Y) <U+00D7> Z\), i.e. the cartesian product for two sets is applied recursively. If nest == FALSE then \(X*Y*Z == (X <U+00D7> Y <U+00D7> Z)\) and the n-ary cartesian product is computed. As it appears the latter (n-ary product) is more common, nest = FALSE is the default. The N-ary cartesian product of \(N\) sets, \(X1,...,XN\), is defined as $$X1 <U+00D7> ... <U+00D7> XN = \\{(x1,...,xN) : x1 \epsilon X1 \cap ... \cap xN \epsilon XN\\}$$ where \((x1,...,xN)\) is a tuple.

The product of fuzzy and crisp sets first coerces fuzzy sets to crisp sets by finding their support.

See Also

Other operators: powerset(), setcomplement(), setintersect(), setpower(), setsymdiff(), setunion()

Examples

Run this code
# NOT RUN {
# difference between nesting
Set$new(1, 2) * Set$new(2, 3) * Set$new(4, 5)
setproduct(Set$new(1, 2) * Set$new(2, 3), Set$new(4, 5), nest = FALSE) # same as above
setproduct(Set$new(1, 2) * Set$new(2, 3), Set$new(4, 5), nest = TRUE)
unnest_set <- setproduct(Set$new(1, 2) * Set$new(2, 3), Set$new(4, 5), nest = FALSE)
nest_set <- setproduct(Set$new(1, 2) * Set$new(2, 3), Set$new(4, 5), nest = TRUE)
# note the difference when using contains
unnest_set$contains(Tuple$new(1, 3, 5))
nest_set$contains(Tuple$new(Tuple$new(1, 3), 5))

# product of two sets
Set$new(-2:4) * Set$new(2:5)
setproduct(Set$new(1, 4, "a"), Set$new("a", 6))
setproduct(Set$new(1, 4, "a"), Set$new("a", 6), simplify = TRUE)

# product of two intervals
Interval$new(1, 10) * Interval$new(5, 15)
Interval$new(1, 2, type = "()") * Interval$new(2, 3, type = "(]")
Interval$new(1, 5, class = "integer") *
  Interval$new(2, 7, class = "integer")

# product of mixed set types
Set$new(1:10) * Interval$new(5, 15)
Set$new(5, 7) * Tuple$new(6, 8, 7)
FuzzySet$new(1, 0.1) * Set$new(2)

# product of FuzzySet
FuzzySet$new(1, 0.1, 2, 0.5) * Set$new(2:5)

# product of conditional sets
ConditionalSet$new(function(x, y) x >= y) *
  ConditionalSet$new(function(x, y) x == y)

# product of special sets
PosReals$new() * NegReals$new()
# }

Run the code above in your browser using DataLab