Climb mountains to see lowlands.

Someone said, in everyday life we use no more mathematics than it is
supposed to be learnt at elementary school. Indeed, hardly one would ever
need to solve quadratic equation beyound the classes, let alone theory of limits, differential
or even probability calculus unless he is an extraordinary scientist or
a researcher. All the ordinary humans at least must be good at figures
(though, sometimes fail).
Overwhelming majority of university graduates do not even open a maths
book after they finish study. They say they are not researchers and they
use value tables when needed instead of maths books. Many of them consider
mathematics just as a mandatory path among the others to overcome before
the graduation ceremony. Unfortunately, so did I, too. Though while in classes
I enjoyed graphical representation of the *limit of integration*,
I did not see how would I use it in professional life after the University.

According to researchers, human cells regenerate every 7 years. That is, our
brain cells in 7 years time will be replaced by the new ones. Before they
die, old cells pass only valuable information to new ones. The value is so
high as frequently it is applied and as much as it is in demand. If the skill is
not used at all, new cells will not acquire it so that after 7 years of
inactivity your acquired lyrics will
*fade away*.

So sad! I must have forgotten everything I learnt 20 years ago.
Frankly speaking I did not see the reason why I should have kept everything
in my memory: exams had been passed, and there was no plan to do any
scientific research. Until the *event* on **applied mathematics** which I had a
please to be present at, when the lecturer drew point A and point B on the
blackboard and joined the two points with a straight line. Then he drew
point C and point D joining them with a smooth curve. He mentioned how
easy was is to track any point on the straight line supposing the coordinates
of A and B are known.

Opposite to a curve between C and D, where elementary mathematics do not resolve the question of locating any point on the smooth curve. To my surprise the above mentioned brain scientists were not quite right: not all the brain cell info is lost. Some remains as inaccessible clusters in computer memory and just waits for the moment to emerge using something like anchors in HTML. In this case the anchor was a picture I drew 20 years ago which was the same as the picture on a blackboard drawn by the lecturer. Here is my workbook page of 1987:

The answer to the question having been associated with this picture did not keep me
long with facial expression as though being in an effort to remember something I never knew but
want to show up opposite (as of Jack Sparrow on the pictured above), it was
*differential calculus* to resolve location of any point on a curve.

Scared of my writings? It is as simple as 2 by 2 is 4. All you need is to start with elementary maths and go all the way through with the subject. Patience required! I would not say it is hard to do, but certainly it is the tough task. Other thing is, What would you need all this for? The answer is - for everything:

- You will judge about integrity of a dataset, that is if the data is either true natural phenomenon or fits to social anxiety schedule, which can be anything from the geology in the volcanic caldera to
UFOoccurrence records in your backyard.- Other opportunities of "everything" can fit into the range mentioned in the Item above.

Though I studied maths in connection with **Structural Mechanics**, mathematics as
*the Queen of the Science* is the universal tool for handling every science,
even geological one.

The title of the event “**Аpplied Mathematics in Geology**” speaks for itself.
In this particular case,

if you have a sampling unit and the law (i.e. Geostatistics) on which its value alters in space, you can predict the value in every point of the space.

`To be continued...`

For more information contact
Geo-Logaritmica via e-mail

All content copyright Geo-Logaritmica © 2015

All content copyright Geo-Logaritmica © 2015

***