## Not run:
#
# # it can solve linear systems
# # (here where the line y = x intersects y = 2 - x)
# polySolve(c("y", "y"), c("x", "2 - x"), c("x", "y"))
#
# # or nonlinear systems
# polySolve(c("y", "y"), c("x^2", "2 - x^2"), c("x", "y"))
#
# # perhaps an easier specification is equations themselves
# # with either the " = " or " == " specifications
# # varOrder is used to order the solutions returned
# polySolve(c("y = x^2", "y = 2 - x^2"), varOrder = c("x", "y"))
# polySolve(c("y == x^2", "y == 2 - x^2"), varOrder = c("x", "y"))
#
#
# # mpoly objects can be given instead of character strings
# lhs <- mp(c("y - (2 - x)", "x y"))
# rhs <- mp(c("0","0"))
# polySolve(lhs, rhs, varOrder = c("x", "y"))
#
# # if no default right hand side is given, and no "=" or "==" is found,
# # rhs is taken to be 0's.
# # below is where the lines y = x and y = -x intersect the unit circle
# polySolve(c("(y - x) (y + x)", "x^2 + y^2 - 1"))
#
# # the output object is a bertini object
# out <- polySolve(c("(y - x) (y + x)", "x^2 + y^2 - 1"))
# str(out,1)
#
# # here is the code that was run :
# cat(out$bertiniCode)
#
# # the finite and real solutions:
# out$finite_solutions
# out$real_finite_solutions
#
#
#
#
# # example from Riccomagno (2008), p. 399
# polySolve(c(
# "x (x - 2) (x - 4) (x - 3)",
# "(y - 4) (y - 2) y",
# "(y - 2) (x + y - 4)",
# "(x - 3) (x + y - 4)"
# ))
#
# ## End(Not run)
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