A set of n weighted points in general position in R(d) defines a uniqu
e regular triangulation. This paper proves that if the points are adde
d one by one, then flipping in a topological order will succeed in con
structing this triangulation. If, in addition, the points are added in
a random sequence and the history of the flips is used for locating t
he next point, then the algorithm takes expected time at most O(n log
n + n(inverted left perpendicular d/2 inverted right perpendicular)).
Under the assumption that the points and weights are independently and
identically distributed, the expected running time is between proport
ional to and a factor log n more than the expected size of the regular
triangulation. The expectation is over choosing the points and over i
ndependent coin-flips performed by the algorithm.