Noted.
Of 4000 daily visitors of the site pages Russian Maple ApCent (during the examination session) 3800 - Russian students, and only 100 - Ukrainian. Sad.
Dynamics of visits:
June 2010 - 44.656 (35,000 for one day! - Unified state examination in mathematics (EGE) 

     I suppose that Maple 15 is now in the stage of beta testing, but I have not served as a beta tester for a few years.

     Those scientists and mathematicians who apply Maple in teaching mathematics, science and engineering or who use it in their research naturally wonder what will be in store in the next release to complement and to extend the features in preceding releases. 

     I have no...

Maple T.A.  7 and Maple T.A. MAA Placement Test Suite 7 are now available.

Maple T.A. 7 provides new options for analyzing grades and gaining a deep understanding of how students are performing, including:

• Instructors can view all responses to an assignment question, to easily look for patterns
• The grading scheme for the entire course can be defined inside Maple T.A., with appropriate weightings and flexible policies for dealing with missed, repeated, and worst assignments...

restart:
with(LinearAlgebra):
with(ArrayTools):
with(Statistics):
randomize():
with(plots):
with(combinat):

n := 100:
nstock := 7:
corr := .8:

R := Matrix(nstock, nstock, proc (i, j) options operator, arrow; `if`(i = j, 1, corr) end proc):
CD := Matrix(LUDecomposition(evalf(R), 'method' = 'Cholesky'), datatype = float[8]):

ev := [seq((1/5)*(rand(-3 .. 4))(), i = 1 .. nstock)]:
st := [seq((rand(1 .. 2))(), i = 1 .. nstock)]:

http://www.tiny9.com/u/Math5543

Fun interactive paradox about the MRB constant.

Comes with free Mathematica player.

I was about to post this as a "How-do-I" question, but while composing my question, I stumbled upon the solution.  In case this "discovery" would be useful, I'm posting it here.

For some coursework, I'm developing fitting sinusoids to experimental data (poor-man's Fourier Analysis).  At one point, I do a "brute-force-least-squares" computation, one step of which involves computing the sum of a sine over N equally-spaced intervals around the circle.  This...

I spent this past week preparing a Webex presentation to a client who was interested in using Maple for a physics course in chaos. Of the two texts selected for the course, I had one on my own bookshelf. So I scanned Steven Strogatz' text Nonlinear Dynamics and Chaos (Addison Wesley, 1994) for topics that would profit from investigation with Maple.

A new edition of Maplets for Calculus  (M4C) is now available.  M4C v1.3 is a collection of 129 maplets for calculus students and instructors.  The 35 new maplets fill in some gaps in the coverage of precalculus and single variable calculus and begin to address multivariate topics. Each maplet provides a customized graphical user interface (using 2D and 3D graphics and animation) to provide immediate, step-by-step guidance through an endless supply of random ...

As a user of Maple 13, namely in computations on General Relativity & Tensor Calculus, I would like to let you know I just got, using Maple 13, the WRONG SIGN (positive Riemann scalar curvature in stead of correct NEGATIVE Riemann scalar curvature) in studying a threefold used as a 'Public Space' by Milne many years ago.

The square of the distance on the said threefold is dE^2=dR^2+(c*t0)^2*sinh(R/(c*t0))^2*(dtheta^2+sin(theta)^2*dphi^2) and you might be interested...

Most of the comparisons (that I've seen so far) amongst Maple, Matlab, and Mathematica are either incomplete, inaccurate, or biased.

This collection of three articles [1 (1), 2 (2),

On Tuesday August 10, 2010, the first meeting of an ad hoc group focused on exploring the use of MapleSim in the engineering curriculum met at McMaster University, Hamilton, Ontario, Canada.  Faculty from McMaster University, Kettering University, Lawrence Technical University, University of Waterloo, Ryerson University, University of Ontario Inst. of Technology, and the State University of New York (Buffalo and Binghamton).

The full-day workshop provided an ideal...

This is the third post in a four-part series; the earlier posts are Generating...

This is the second post in a four-part series that started with this post: Generating...

Maple's Statistics package contains many predefined probability distributions; well-known ones such as the normal distribution and lesser-known ones such as the Gumbel distribution. For these distributions, we ship efficient algorithms that can quickly generate a large number of sample points. To generate a sample of size 10⁶ of both of these distributions, and print the time it took to do this (in seconds), you can run the following:

with(Statistics):