Markiyan Hirnyk

Markiyan Hirnyk
7 years, 186 days


These are Posts that have been published by Markiyan Hirnyk

I would like to pay attention to http://www.ams.org/samplings/feature-column/fc-2013-05 .
Comparing the Galileo's calculation 87654/53 with the capacity of Maple, the question arises:
"Are we  cleverer than Galileo Galilei?". I don't know the answer.

Introduction
The purpose of this post is the investigation of the connection between the connectivity of an undirected graph and the numbers of its vertices and edges with help of the GraphTheory package.
The reader is  referred to http://en.wikipedia.org/wiki/Graph_theory and to ?GraphTheory for info.
Let us...

Now we turn to an example of the usage of the Dragilev method with Maple. Let us consider the curve
from
http://www.mapleprimes.com/questions/143454-How-To-Produce-Such-Animation .

Its points can be found by the Dragilev method as follows.

 

This is an effective method of solving systems of  N nonlinear and nonalgebraic equations in N+1 real-valued variables:
F(x)=0, where F=(f1,f2,..., fN) and x=(x1,x2,...,xN+1). (1)               
                                  ...

The Maple dsolver is very powerful, but everything has advantages and disadvantages. I was recently asked the following question.
Let us consider the system of ODEs
>restart; sys := [diff(y(x), x) = -(4*cos(x)*y(x)+z(x)*cos(x)^2+3*z(x))/(sin(x)*(cos(x)^2-9)),
>diff(z(x), x) = -(y(x)*cos(x)^2+3*y(x)+4*z(x)*cos(x))/(sin(x)*(cos(x)^2-9))]:
The functions
>y1 := C[1]*(cos(x)+1)^(1/2)/(cos(x)+3)^(1/2)+C[2]*(1-cos(x))^(1/2)/(3-cos(x))^(1/2):
>z1 := -C[1...

Who's number 1?

December 04 2012 by Markiyan Hirnyk 4628 Maple

I would like to pay attention to http://www.ams.org/samplings/feature-column/fc-2012-12, where a discrete analog of vector calculus on graphs is applied to rankings. In my opinion, it would be useful to implement that in the GraphTheory package.                           ...

It is the first time  I post a Maple bug in MaplePrimes because I use to submit an SCR.
There is a serious reason to do so. Let us look at the output of
> with(plots):
> implicitplot(sqrt(x^2+y^2)-sqrt((x-4)^2+(y-3)^2) = 5, x = -20 .. 20, y = -20 .. 20,
numpoints = 10^6, thickness = 5, scaling = constrained);
(both in Maple 13 and in Maple 16)

I would like to pay attention to http://www.ams.org/samplings/feature-column/fc-2012-08 , where a mathematical experiment is applied.

Here are 30 all-time men's best 100m  (see http://en.wikipedia.org/wiki/100_metres
 and  http://www.alltime-athletics.com/m_100ok.htm )
        1      9.58       +0.9    Usain Bolt          16.08.2009

I would like to pay attention to http://www.scientificcomputing.com/atlas-032408.aspx . It seems to be a powerful tool to research, to teach, and to learn.

See http://mathematica.stackexchange.com/ and compare with MaplePrimes.

Starting from Maple 15, the useful ?plottools/getdata command is added. It tansforms a Maple plot to a Matrix. Unfortunately, the getdata command deals only with Maple plots. The question arises: "How to get a data from bmp, jpg, tiff, pcx, gif, png and wmf formats?" This is used in medicine and engineering. Such question was asked here

This is one of rank tests.
Non-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars).
The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences.
In terms of levels of measurement, non-parametric methods result in "ordinal" data.
After the introduction to the topic let's turn to an example.

The following is the matter of so-called central limit theorems. We have the sum of random variables S:= ksi[1] + ksi[2] + .. ksi[n]. We know only that the number n is large, the variables are independent or weakly dependent, and each ksi[j] is small with respect to S in a certain sense.

By the  central limit theorems it implies that S is close to the normal distribution.

Here is the procedure which illustrates the Lindeberg-Levi theorem ( see

 I would like to pay attention to the article "Exploratory Experimentation and Computation" by David H. Bailey and Jonathan M. Borwein just published in Notices of AMS, 2011, V. 58, N 10, 1410-1419
 ( http://www.ams.org/notices/201110/rtx111001410p.pdf ) . It should be noted that Maple is one of the leading characters of this article.

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