| Topic: |
Science > Physics |
| User: |
"Linus Utopia" |
| Date: |
12 Jul 2007 08:33:33 PM |
| Object: |
How to detect turning points in curves |
How to detect turning points in curves
Hi all,
If you take a look at the following plot,
http://img63.imageshack.us/img63/5050/gggyt1.jpg
You will agree with me that there are two turning points.
But is there a systematic way to let computer detect the turning points
automatically and programmatically?
Please be advised that the second turn isn't neccessarily turning down, it
can also possibly go up...
And in real-world applications, the turn can be more smooth and round, but
still, naked eyes should be able to find the turning points easily.
My program has to do a classification:
All the good curves should first go down, and then either make no turns; or
make a turn, and stay vertically flat and slightly up, going from the left
to the right.
There should be no second turn (up or down). If there is the second turn,
then that's the bad curves.
My program needs to decern the good curves from bad curves.
I cranked a few algorithms but they don't work well. Are there systematic
methods of handling this?
Please be advised that my curves are not continuous -- they are discrete
data points. When I plotted them in Matlab, they are connected and looked
like a continous curve. So I am not sure if the second "finite difference"
will help..., and accurately...
Thanks a lot!
.
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| User: "" |
|
| Title: Re: How to detect turning points in curves |
12 Jul 2007 11:25:01 PM |
|
|
In sci.physics Linus Utopia <linus_utopia@gmail.com> wrote:
How to detect turning points in curves
Hi all,
If you take a look at the following plot,
http://img63.imageshack.us/img63/5050/gggyt1.jpg
You will agree with me that there are two turning points.
But is there a systematic way to let computer detect the turning points
automatically and programmatically?
Please be advised that the second turn isn't neccessarily turning down, it
can also possibly go up...
And in real-world applications, the turn can be more smooth and round, but
still, naked eyes should be able to find the turning points easily.
My program has to do a classification:
All the good curves should first go down, and then either make no turns; or
make a turn, and stay vertically flat and slightly up, going from the left
to the right.
There should be no second turn (up or down). If there is the second turn,
then that's the bad curves.
My program needs to decern the good curves from bad curves.
I cranked a few algorithms but they don't work well. Are there systematic
methods of handling this?
Please be advised that my curves are not continuous -- they are discrete
data points. When I plotted them in Matlab, they are connected and looked
like a continous curve. So I am not sure if the second "finite difference"
will help..., and accurately...
Thanks a lot!
Well, if all the curves look like that...
Start at the middle X value. Calculate the slope around that value.
The number of points to use will likely be an empirical determination
from trial and error based on the noise in the data.
From the curve presented, the slope should be a small number and
only a few points needed.
Work out to the ends.
When the slope begins to change past some empirically defined limit,
you've found the start of a change.
From the curve presented, the slope at the ends should be a big number.
If you get big numbers for the large and small X values, you have
turning points.
You can do other things like find the slope starting at the ends
and work across X until the slope gets small.
Break the data into segments of constant slope within some limit.
From those segements, determine where a straight line fit to the
segments intersect giving you the turning point.
Good data will have two segments, bad three.
Depends on how much you want to analyze it.
--
Jim Pennino
Remove .spam.sux to reply.
.
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| User: "Eric Gisse" |
|
| Title: Re: How to detect turning points in curves |
12 Jul 2007 09:06:30 PM |
|
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On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
Hi all,
If you take a look at the following plot,
http://img63.imageshack.us/img63/5050/gggyt1.jpg
You will agree with me that there are two turning points.
But is there a systematic way to let computer detect the turning points
automatically and programmatically?
What condition always holds at a turning point?
[...]
.
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| User: "Linus Utopia" |
|
| Title: Re: How to detect turning points in curves |
12 Jul 2007 09:50:53 PM |
|
|
"Eric Gisse" <jowr.pi@gmail.com> wrote in message
news:1184292390.619167.157010@x35g2000prf.googlegroups.com...
On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
Hi all,
If you take a look at the following plot,
http://img63.imageshack.us/img63/5050/gggyt1.jpg
You will agree with me that there are two turning points.
But is there a systematic way to let computer detect the turning points
automatically and programmatically?
What condition always holds at a turning point?
[...]
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical world...
.
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| User: "Scott Seidman" |
|
| Title: Re: How to detect turning points in curves |
13 Jul 2007 03:28:35 PM |
|
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"Linus Utopia" <linus_utopia@gmail.com> wrote in
news:f76pe5$mfg$1@news.Stanford.EDU:
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical
world...
How about filtering the data, then using the first derivative?
You might also benefit from googling "Matlab inflection"
--
Scott
Reverse name to reply
.
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| User: "Richard Owlett" |
|
| Title: Re: How to detect turning points in curves |
12 Jul 2007 10:19:25 PM |
|
|
Linus Utopia wrote:
"Eric Gisse" <jowr.pi@gmail.com> wrote in message
news:1184292390.619167.157010@x35g2000prf.googlegroups.com...
On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
Hi all,
If you take a look at the following plot,
http://img63.imageshack.us/img63/5050/gggyt1.jpg
You will agree with me that there are two turning points.
But is there a systematic way to let computer detect the turning points
automatically and programmatically?
What condition always holds at a turning point?
[...]
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical world...
Think about signs of first thru n'th derivative.
.
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| User: "Jerry Avins" |
|
| Title: Re: How to detect turning points in curves |
12 Jul 2007 10:31:34 PM |
|
|
Linus Utopia wrote:
"Eric Gisse" <jowr.pi@gmail.com> wrote in message
news:1184292390.619167.157010@x35g2000prf.googlegroups.com...
On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
Hi all,
If you take a look at the following plot,
http://img63.imageshack.us/img63/5050/gggyt1.jpg
You will agree with me that there are two turning points.
But is there a systematic way to let computer detect the turning points
automatically and programmatically?
What condition always holds at a turning point?
[...]
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical world...
How about a more-or-less abrupt change in the average first difference?
You're only dead in the water when you stop thinking.
Jerry
--
Engineering is the art of making what you want from things you can get.
¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
.
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| User: "" |
|
| Title: Re: How to detect turning points in curves |
13 Jul 2007 12:42:18 PM |
|
|
On Jul 12, 10:50 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
"Eric Gisse" <jowr...@gmail.com> wrote in message
news:1184292390.619167.157010@x35g2000prf.googlegroups.com...
On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
Hi all,
If you take a look at the following plot,
http://img63.imageshack.us/img63/5050/gggyt1.jpg
You will agree with me that there are two turning points.
But is there a systematic way to let computer detect the turning points
automatically and programmatically?
What condition always holds at a turning point?
[...]
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical world...- Hide quoted text -
- Show quoted text -
In other words Linus, you either slept through calculus and partial
differential equations, or the concept of a "point of inflection" was
beyond your grasp.
You also seem to confuse what you call "discrete data analysis" with
calculus and partial differential equations, which indeed form the
basis of the mathematical abstratction that lead us to "theoretical
physics".
My friend, listen to what Eric says to you, because if you falsely
believe that the derivative is a product of "discrete data analysis",
then you need to back and review the concepts taught in chapters 1 and
2 of your Calculus 101 course. Dust off your old copies of "Taylor" or
"Thomas", or a current text in vogue, and re-read the introductory
chapters, since you evidently missed them the first time around. Until
you've learned them, you cannot possibly grasp the concepts of
integral calculus, or how calculus is applied in a 3-dimensional
world!
Not to be sarcastic, but you really need to learn to crawl before you
try to run! :-)
If you can't read the language, it's very difficult to discern the
plot of the book!
Now it can get confusing to beginners where the point of inflection,
the turning point is, of a curve in 3-dimensions, because you must
simultaniously consider dx/dt, dy/dt, and dz/dt simultaneously, and
they may not all equal "0" at the same moment. Usually they don't.
It's sometimes hard to visualize. Unfortunately, that's the situation
in 3-dimensional space. Then to farther complicate the issue, it makes
a great deal of difference what reference frame that you chose to
employ, and sometimes that becomes a mathematically abstraction, such
as using a Hamiltonian, or other transform frame. The concept here is
that you use a referernce or transform frame that makes the soluton of
the differential equation solvable within that frame, then you map or
back-transform that solution to an x,y,z reference frame, or any other
that you can mentally visualize. The trick is finding a reference
frame of transform that renders the resulting differential equation
solvable. The following steps involve only turning a crank.
EE's tend to prefer Laplace tranforms, physicists seem to prefer
Hamiltonians and others. There are actually quite a few. My knowledge
of theoretical analysis is becoming rather dated since it is circa
1970, so Eric is a far better current source. Still, my methods help
to place man on the moon, and allow vehicles from earth to orbit
distant planets, so their is something to be said for it. Just think
about this: How many points of infelction encounted on the flight of a
space probe launched from earth with a goal of orbiting one of Mar's
moons? That is, how many times does the trajectory change slope,
direction, and velocity?
That's why you will never learn anything about physics from coffee
table books sold to the public at places like "Barnes & Noble". On a
more positive closing note, even a bricklayer or accountant has access
to real information today. Here's a secret that I will share with you
that I have with some of my close friends, including one very bright
guy and an excellent craftsman, who make his living as a professional
tile guy. Hopefully, Eric will agree with me on this --> First click
on the website of any noted science or techological university, say
Cal Tech or MIT, or whatever. Most of these websites will provide
descriptions of all of their courses, what their goal is, and the text
utilized in the course. You write the name of the text down, and go to
a bookseller like Amazon.com and search for that book. Typically
Amazon will first offer you a brand new copy of the text, but you
don't need that because likely only the problem sets have changed from
past editions (basic physics doen't change frequently). They will then
provide you with a list of "used" copies available, which are often
50% or more less expensive than the current edition. Buy one of these.
Read each chapter at least 3-times, and then work all of the problem
sets. This may on something like calculus or differential equations, 6-
months to a year, working the problems at least 3 entire evening each
week. (It like going to college, except for the partys and the
expense.) When you complete the equivalent of one course, and if you
run into dead-end questions, ask one of the more trusted and reliable
posters here for help by email (email because it avoids reponses by
the crackpots who now seem to dominate the posts on sci.physics).
Next, move on to the next subject (based on the curiculum of the
college that you are trying to tuition-free track.)
Figure about 3-5 years of study to gain a BS level education in math
or physics, but other than the cost of the textbooks, it will not have
cost you a dime.
Remember that tile guy that I mentioned? He is still laying tile for
his day living (which he is extremely good at, to minimize). He now
uses his computer to do visualizatons of protraits, and convert them
to fine mosaic tile bathroom floors at about $60,000 each. He also no
earns a consulting income from multiple local technical schools
teaching physics, although he never graduated from highschool. In
fact, he does better than me, even though I hold several college
degrees. Unfortunatly, he cannot still play the pipe organ. It's a
matter of priorities!
Take or discard this information for what you find it worth. Realize
that you are quite fortunate to live in the age of the Internet. I
provides very exceptional educational opportunities. Use it or lose
it.
Harry C.
.
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| User: "Logan Shaw" |
|
| Title: Re: How to detect turning points in curves |
13 Jul 2007 09:12:26 PM |
|
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wrote:
On Jul 12, 10:50 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
"Eric Gisse" <jowr...@gmail.com> wrote in message
news:1184292390.619167.157010@x35g2000prf.googlegroups.com...
On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
If you take a look at the following plot,
What condition always holds at a turning point?
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical world...
In other words Linus, you either slept through calculus and partial
differential equations, or the concept of a "point of inflection" was
beyond your grasp.
You also seem to confuse what you call "discrete data analysis" with
calculus and partial differential equations, which indeed form the
basis of the mathematical abstratction that lead us to "theoretical
physics".
My friend, listen to what Eric says to you, because if you falsely
believe that the derivative is a product of "discrete data analysis",
As far as I can tell, you are not grasping the question. And you are
making a huge leap in assuming the original poster does not understand
elementary calculus or has some aversion to theory.
There are two possible situations with the graphs he showed. Either
(a) the graphs are generated mathematically and the functions (which
are the source of the points on the graphs) are available to his code,
or (b) the graphs are based on data collected from the real world,
there is no equation available to the code that will solve this problem,
and any structure you see in the graphs is a structure that your mind
has inferred.
His explanation may not have been phrased perfectly, but it seems
quite clear anyway that the situation is (b). Given that he only
has a set of samples available, an understanding of calculus, *by
itself*, is not sufficient to solve this problem.
Or to put it another way, differential calculus deals with symbolic
information. He DOES NOT HAVE symbolic information.
Therefore, he is looking for some technique that is known to be useful
in a situation like this. I don't know much about signal processing,
but my first idea would be something like fitting a curve (Nth-order
polynomial, whatever N is appropriate) to the data, then taking the
derivatives of that curve. That might work reasonably well even if
there is noise at just the wrong places. However, for various reasons,
it doesn't seem like a great solution. I merely mention it to give
an example of the type of answer I believe he is looking for.
- Logan
.
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| User: "Kenneth Sloan" |
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| Title: Re: How to detect turning points in curves |
13 Jul 2007 10:14:22 PM |
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Logan Shaw wrote:
I merely mention it to give
an example of the type of answer I believe he is looking for.
- Logan
Perhaps people who understand the question would be more likely to be
helpful if OP wasn't so argumentative and hostile (as early as his
second post).
I'll limit myself to saying - look in the Computer Vision literature.
--
Kenneth Sloan
Computer and Information Sciences +1-205-932-2213
University of Alabama at Birmingham FAX +1-205-934-5473
Birmingham, AL 35294-1170 http://www.cis.uab.edu/sloan/
.
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| User: "The_Man" |
|
| Title: Re: How to detect turning points in curves |
14 Jul 2007 03:29:11 AM |
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On Jul 13, 10:12 pm, Logan Shaw <lshaw-use...@austin.rr.com> wrote:
hhc...@yahoo.com wrote:
On Jul 12, 10:50 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
"Eric Gisse" <jowr...@gmail.com> wrote in message
news:1184292390.619167.157010@x35g2000prf.googlegroups.com...
On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
If you take a look at the following plot,
What condition always holds at a turning point?
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical world...
In other words Linus, you either slept through calculus and partial
differential equations, or the concept of a "point of inflection" was
beyond your grasp.
You also seem to confuse what you call "discrete data analysis" with
calculus and partial differential equations, which indeed form the
basis of the mathematical abstratction that lead us to "theoretical
physics".
My friend, listen to what Eric says to you, because if you falsely
believe that the derivative is a product of "discrete data analysis",
As far as I can tell, you are not grasping the question. And you are
making a huge leap in assuming the original poster does not understand
elementary calculus or has some aversion to theory.
There are two possible situations with the graphs he showed. Either
(a) the graphs are generated mathematically and the functions (which
are the source of the points on the graphs) are available to his code,
or (b) the graphs are based on data collected from the real world,
there is no equation available to the code that will solve this problem,
and any structure you see in the graphs is a structure that your mind
has inferred.
His explanation may not have been phrased perfectly, but it seems
quite clear anyway that the situation is (b). Given that he only
has a set of samples available, an understanding of calculus, *by
itself*, is not sufficient to solve this problem.
Or to put it another way, differential calculus deals with symbolic
information. He DOES NOT HAVE symbolic information.
Therefore, he is looking for some technique that is known to be useful
in a situation like this. I don't know much about signal processing,
but my first idea would be something like fitting a curve (Nth-order
polynomial, whatever N is appropriate) to the data, then taking the
derivatives of that curve. That might work reasonably well even if
there is noise at just the wrong places. However, for various reasons,
it doesn't seem like a great solution. I merely mention it to give
an example of the type of answer I believe he is looking for.
- Logan- Hide quoted text -
- Show quoted text -
.
|
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| User: "The_Man" |
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| Title: Re: How to detect turning points in curves |
14 Jul 2007 03:35:51 AM |
|
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On Jul 13, 10:12 pm, Logan Shaw <lshaw-use...@austin.rr.com> wrote:
hhc...@yahoo.com wrote:
On Jul 12, 10:50 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
"Eric Gisse" <jowr...@gmail.com> wrote in message
news:1184292390.619167.157010@x35g2000prf.googlegroups.com...
On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
If you take a look at the following plot,
What condition always holds at a turning point?
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical world...
In other words Linus, you either slept through calculus and partial
differential equations, or the concept of a "point of inflection" was
beyond your grasp.
You also seem to confuse what you call "discrete data analysis" with
calculus and partial differential equations, which indeed form the
basis of the mathematical abstratction that lead us to "theoretical
physics".
My friend, listen to what Eric says to you, because if you falsely
believe that the derivative is a product of "discrete data analysis",
As far as I can tell, you are not grasping the question. And you are
making a huge leap in assuming the original poster does not understand
elementary calculus or has some aversion to theory.
There are two possible situations with the graphs he showed. Either
(a) the graphs are generated mathematically and the functions (which
are the source of the points on the graphs) are available to his code,
or (b) the graphs are based on data collected from the real world,
there is no equation available to the code that will solve this problem,
and any structure you see in the graphs is a structure that your mind
has inferred.
His explanation may not have been phrased perfectly, but it seems
quite clear anyway that the situation is (b). Given that he only
has a set of samples available, an understanding of calculus, *by
itself*, is not sufficient to solve this problem.
Or to put it another way, differential calculus deals with symbolic
information. He DOES NOT HAVE symbolic information.
Therefore, he is looking for some technique that is known to be useful
in a situation like this. I don't know much about signal processing,
but my first idea would be something like fitting a curve (Nth-order
polynomial, whatever N is appropriate) to the data, then taking the
derivatives of that curve. That might work reasonably well even if
there is noise at just the wrong places. However, for various reasons,
it doesn't seem like a great solution. I merely mention it to give
an example of the type of answer I believe he is looking for.
In chemistry, we handle situations like this all the time - it is
really quite trivial. YOu need to first plot the differences of y over
x(Delta Y/Delta x), which are (yi+1 - yi)/(xi+1/xi) against xi. This
is an approximation to the first derivative. A better approximation
would plot Delta Y/Delta X over the midpoint of xi+1 and xi.
Then an approximation to the second derivative would be the difference
in "Frist derivatives"/Delta X.
We do this all the time with titration data, where we are looking for
inflection points - the first derivative will be a maximum, and the
second drrivative will cross (and equal)zero.
- Logan- Hide quoted text -
- Show quoted text -
.
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| User: "The_Man" |
|
| Title: Re: How to detect turning points in curves |
13 Jul 2007 04:17:29 PM |
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On Jul 13, 1:42 pm, "hhc...@yahoo.com" <hhc...@yahoo.com> wrote:
On Jul 12, 10:50 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
"Eric Gisse" <jowr...@gmail.com> wrote in message
news:1184292390.619167.157010@x35g2000prf.googlegroups.com...
On Jul 12, 5:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
Hi all,
If you take a look at the following plot,
http://img63.imageshack.us/img63/5050/gggyt1.jpg
You will agree with me that there are two turning points.
But is there a systematic way to let computer detect the turning points
automatically and programmatically?
What condition always holds at a turning point?
[...]
Please don't say the "1st derivative=0"...
This is about numerical discrete data analysis, not the theoretical world...- Hide quoted text -
- Show quoted text -
In other words Linus, you either slept through calculus and partial
differential equations, or the concept of a "point of inflection" was
beyond your grasp.
You also seem to confuse what you call "discrete data analysis" with
calculus and partial differential equations, which indeed form the
basis of the mathematical abstratction that lead us to "theoretical
physics".
My friend, listen to what Eric says to you, because if you falsely
believe that the derivative is a product of "discrete data analysis",
then you need to back and review the concepts taught in chapters 1 and
2 of your Calculus 101 course. Dust off your old copies of "Taylor" or
"Thomas", or a current text in vogue, and re-read the introductory
chapters, since you evidently missed them the first time around. Until
you've learned them, you cannot possibly grasp the concepts of
integral calculus, or how calculus is applied in a 3-dimensional
world!
Not to be sarcastic, but you really need to learn to crawl before you
try to run! :-)
If you can't read the language, it's very difficult to discern the
plot of the book!
Now it can get confusing to beginners where the point of inflection,
the turning point is, of a curve in 3-dimensions, because you must
simultaniously consider dx/dt, dy/dt, and dz/dt simultaneously, and
they may not all equal "0" at the same moment. Usually they don't.
It's sometimes hard to visualize. Unfortunately, that's the situation
in 3-dimensional space. Then to farther complicate the issue, it makes
a great deal of difference what reference frame that you chose to
employ, and sometimes that becomes a mathematically abstraction, such
as using a Hamiltonian, or other transform frame. The concept here is
that you use a referernce or transform frame that makes the soluton of
the differential equation solvable within that frame, then you map or
back-transform that solution to an x,y,z reference frame, or any other
that you can mentally visualize. The trick is finding a reference
frame of transform that renders the resulting differential equation
solvable. The following steps involve only turning a crank.
EE's tend to prefer Laplace tranforms, physicists seem to prefer
Hamiltonians and others. There are actually quite a few. My knowledge
of theoretical analysis is becoming rather dated since it is circa
1970, so Eric is a far better current source. Still, my methods help
to place man on the moon, and allow vehicles from earth to orbit
distant planets, so their is something to be said for it. Just think
about this: How many points of infelction encounted on the flight of a
space probe launched from earth with a goal of orbiting one of Mar's
moons? That is, how many times does the trajectory change slope,
direction, and velocity?
That's why you will never learn anything about physics from coffee
table books sold to the public at places like "Barnes & Noble". On a
more positive closing note, even a bricklayer or accountant has access
to real information today. Here's a secret that I will share with you
that I have with some of my close friends, including one very bright
guy and an excellent craftsman, who make his living as a professional
tile guy. Hopefully, Eric will agree with me on this --> First click
on the website of any noted science or techological university, say
Cal Tech or MIT, or whatever. Most of these websites will provide
descriptions of all of their courses, what their goal is, and the text
utilized in the course. You write the name of the text down, and go to
a bookseller like Amazon.com and search for that book. Typically
Amazon will first offer you a brand new copy of the text, but you
don't need that because likely only the problem sets have changed from
past editions (basic physics doen't change frequently). They will then
provide you with a list of "used" copies available, which are often
50% or more less expensive than the current edition. Buy one of these.
Read each chapter at least 3-times, and then work all of the problem
sets. This may on something like calculus or differential equations, 6-
months to a year, working the problems at least 3 entire evening each
week. (It like going to college, except for the partys and the
expense.) When you complete the equivalent of one course, and if you
run into dead-end questions, ask one of the more trusted and reliable
posters here for help by email (email because it avoids reponses by
the crackpots who now seem to dominate the posts on sci.physics).
Next, move on to the next subject (based on the curiculum of the
college that you are trying to tuition-free track.)
MIT has entire courses available ONLINE, for free, through video
lectures.
One good one, on linear algebra, is here:
http://ocw.mit.edu/OcwWeb/Mathematics/18-06Spring-2005/VideoLectures/index.htm
For many courses, there is no video available yet. But, at minimum,
they have lecture notres, syllabi, problem sets, and so on.
The only thing holding back anyone from learning is themselves :-(
Figure about 3-5 years of study to gain a BS level education in math
or physics, but other than the cost of the textbooks, it will not have
cost you a dime.
Remember that tile guy that I mentioned? He is still laying tile for
his day living (which he is extremely good at, to minimize). He now
uses his computer to do visualizatons of protraits, and convert them
to fine mosaic tile bathroom floors at about $60,000 each. He also no
earns a consulting income from multiple local technical schools
teaching physics, although he never graduated from highschool. In
fact, he does better than me, even though I hold several college
degrees. Unfortunatly, he cannot still play the pipe organ. It's a
matter of priorities!
Take or discard this information for what you find it worth. Realize
that you are quite fortunate to live in the age of the Internet. I
provides very exceptional educational opportunities. Use it or lose
it.
Harry C.- Hide quoted text -
- Show quoted text -
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| User: "Eric Gisse" |
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| Title: Re: How to detect turning points in curves |
13 Jul 2007 02:32:27 PM |
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On Jul 13, 9:42 am, "hhc...@yahoo.com" <hhc...@yahoo.com> wrote:
[...]
I felt like mentioning that he could also find out where the turning
points are by looking for exceedingly large first derivatives. Like
with his example,the first derivative would be infinity /
theoretically/ at the jump, but with a computer it would be "large".
But I was beaten to the punch, and didn't feel like arguing.
EE's tend to prefer Laplace tranforms, physicists seem to prefer
Hamiltonians and others. There are actually quite a few. My knowledge
of theoretical analysis is becoming rather dated since it is circa
1970, so Eric is a far better current source. Still, my methods help
to place man on the moon, and allow vehicles from earth to orbit
distant planets, so their is something to be said for it. Just think
about this: How many points of infelction encounted on the flight of a
space probe launched from earth with a goal of orbiting one of Mar's
moons? That is, how many times does the trajectory change slope,
direction, and velocity?
Classical physics hasn't changed at all in 40 years. What you knew
then is still valid, barring being garbled with age :>
The physics that put men on the moon is just as valid today.
[...]
Take or discard this information for what you find it worth. Realize
that you are quite fortunate to live in the age of the Internet. I
provides very exceptional educational opportunities. Use it or lose
it.
The sum of humanities knowledge is at your fingertips. Some understand
this, most do not.
Plus Amazon isn't *that* good. http://half.ebay.com serves me very
well for my textbook needs.
Harry C.
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| User: "user923005" |
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| Title: Re: How to detect turning points in curves |
13 Jul 2007 02:10:50 PM |
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On Jul 12, 6:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
[snip]
Try news:comp.graphics.algorithms (read their faq first, of course)
It's done in cartography all the time to thin vectors down to their
most salient points, so news:comp.infosystems.gis might also be
helpful.
Since you don't know the answer, I guess you have not taken calculus.
So a third possibility might be news:sci.math.num-analysis if you want
to understand the underlying principles.
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| User: "" |
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| Title: Re: How to detect turning points in curves |
13 Jul 2007 02:55:01 PM |
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In sci.physics user923005 <dcorbit@connx.com> wrote:
On Jul 12, 6:33 pm, "Linus Utopia" <linus_uto...@gmail.com> wrote:
How to detect turning points in curves
[snip]
Try news:comp.graphics.algorithms (read their faq first, of course)
It's done in cartography all the time to thin vectors down to their
most salient points, so news:comp.infosystems.gis might also be
helpful.
Since you don't know the answer, I guess you have not taken calculus.
So a third possibility might be news:sci.math.num-analysis if you want
to understand the underlying principles.
While calculus would be nice for greater understanding, solving the
problem doesn't require any math past analytic geometry and the concept
of slope of a line and maybe best fit to a line depending on how far
you want to go in the analysis; this is a rather simple problem.
--
Jim Pennino
Remove .spam.sux to reply.
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