@return random variable with specified Poisson distribution

@return - list of Agoraphobic points in Euclidean space, starting with zero vector

@param vector1 point in dimension d @param vector2 point in dimension d @return distance

@param r vector of unnormalized rates @param u boolean array, where u[j] true means j has been visited, hence unavailable for sampling @retur

Generates uniformly at random a d-dimensional vector in <pre> (-1, 1)^d </pre> . Repeat until one is found which lies inside unit sphere. @return r

@param vector1 point in dimension d @param vector2 point in dimension d @return Are they equal?

Generates a cloud of n points in dimension d, with approximate fractal dimension h.

paretoMean: (Math.pow(u0, c) - Math.pow(u1, c)) / ((-1.0 - alpha) (u1 - u0)); with c = 1.0 + alpha; Expect 1.0 / paretoMean events per day. @param lo

Assigns each observation to the correct bin. @param bins list of bins, in ascending order with respect to T.compare() @param obs list of observations

@return the list of bin counts, invoking assign()

@return - what proportion of the samples taken produced a new point?

Lazy computation of transition rates. @param k index of point in <code>pointsArray</code>. When this point is visited for the first time, tr

Given a center point, sample uniformly a point within given radius of center @param radius radial distance @param center center point in dimension d

@param vector point in dimension d @return norm squared

Embeds a trajectory in continuous time, allowing time for travel from place to place. @see fractalRabbitGenerator.MainClassFR @param visitSequence in