Back


Newsgroup sci.math.num-analysis 29237

Directory

Subject: Re: help required in finding a formula -- From: kovarik@mcmail.cis.McMaster.CA (Zdislav V. Kovarik)
Subject: numerical integration -- From: charron@grbb.polymtl.ca (Guy Charron)
Subject: Re: [Q] computation of sqrt(1-x*x) when x->0 -- From: charron@grbb.polymtl.ca (Guy Charron)
Subject: please discard the previous article -- From: clement@cs.sc.edu (George Clement)
Subject: Re: help required in finding a formula -- From: clement@cs.sc.edu (George Clement)
Subject: Re: Problem: Gravity simulator -- From: scott@eviews.com (Scott Ellsworth)
Subject: Re: [Q] computation of sqrt(1-x*x) when x->0 -- From: Joe Pekarek
Subject: Q:System of Volterra Equ. 2nd kind -- From: Yesim Erke
Subject: Re: ANN: Some New Results in the Field of Discrete Math/Designs/Codes -- From: bm373592@muenchen.org (Uenal Mutlu)
Subject: Freebody problem -- From: Mike McDermott <100447.764@CompuServe.COM>
Subject: Re: [Q] computation of sqrt(1-x*x) when x->0 -- From: bruck@pacificnet.net (Ronald Bruck)
Subject: Optimization Line Search -- From: rehbock@cs.curtin.edu.au (Volker Rehbock)
Subject: Re: Problem: Gravity simulator -- From: Gerhard Heinzel
Subject: FE shell element not using rotations -- From: damianm@eram.esi.com.au (Damian McGuckin)
Subject: Poisson's eq. well posed? -- From: hiegeman@Chemietechnik.Uni-Dortmund.DE (Michael Hiegemann)
Subject: Re: Optimization Line Search -- From: Hans D Mittelmann
Subject: Re: Constrained multi-variable optimisation -- From: "Dr. Jim Pulfer"
Subject: SLATEC library -- From: Michael Herstine
Subject: Re: URGENT HELP !!!! SUPERQUADRICS !!! -- From: "Dr. Jim Pulfer"
Subject: Re: Poisson's eq. well posed? -- From: frensley@utdallas.edu (Bill Frensley)
Subject: Convergence radius of the Taylor series of a function with 3 real variables -- From: Xu Xingguo
Subject: Re: Problem: Gravity simulator -- From: Wayne Schlitt
Subject: Re: How to find basis for eigenspace? -- From: u24951@uicvm.uic.edu (Robert Zhang)
Subject: Special Issue on Comput. Fluids -- From: wade@alpha2.csd.uwm.edu (Bruce A Wade)
Subject: Re: cubic splines -- From: gcwolter@sdrc.com (hans wolters)
Subject: Q: multidimensional FFT -- From: "V. Karlin"

Articles

Subject: Re: help required in finding a formula
From: kovarik@mcmail.cis.McMaster.CA (Zdislav V. Kovarik)
Date: 17 Dec 1996 04:52:38 -0500
In article <32B607FB.211A3107@asu.edu>,
Hans D Mittelmann   wrote:
:George Clement wrote:
:> 
:> Hi everybody,
:> 
:> I am new to this group.
:> 
:> I have a question.
:> 
:> Is there a formula using which one can calculate
:>     1 + x + x^2 + x^3 + ...... + x^n
:> 
:> Given values for x and n, I would like to calculate the
:> progressive expression using a formula (instead of calculating
:> it iteratively).
:> 
:> Thanks for all the help,
:> 
:> George Clement
:> gclement@imonics.com
:Hi,
:are you sure you didn't have that in high-school? It's a finite
:geometric series with value
:               (1-x^(n+1))/(1-x)
:
(unless x=1, and in this case the sum is (n+1))
 Also, if we call the sum s_n then: s_0 = 1, and recursively
     s_(n+1) = 1 + x * s_n
 this time with no restrictions on x.
(Some high schools, I heard, are so busy teaching self-esteem that they
have no time for a finite geometric series :-)
Cheers, ZVK (Slavek).
Return to Top
Subject: numerical integration
From: charron@grbb.polymtl.ca (Guy Charron)
Date: 17 Dec 1996 19:22:48 GMT
Salut everyone,
I have a problem I'm sure I am not the first one to encounter, so I would appreciate a little feedback on this.  To solve a differential equation in an electromagnetic 
problem, I am using Green functions. The solution is known, but expressed in the form
of a complicated multidimensional integral. I have to perform an integral from 
zero to infinity of a product of two bessel functions and a rational fonction. As the 
variable tend toward infinity, the integrand tend toward zero. 
For some values of parameters, the function may need to be integrated to around 10 
before the integral converges, some other cases require that it has to
be integrated up until 100 000 or so. What would be the best way to minimise 
computation time in such a case. 
There is also the problem of how many points should be used to perform the 
integral. The main problem is that the integrand oscillate, and that there is 
a slight difference between the positive part and the negative part of the function
that slowly add up to give me the result.  What would be a good way to tackle this 
problem?
Currently, I'm working with Matlab. I am using a Gauss rule, ( Can anyone point
me some reference on this) where basically the algorithm chooses points and calculate 
a weigth for them so that the integral is exact for a polynom of order 2*n-1 if I
use n points.  To tackle both problem, I do the integral on 0 to 100, then on 100 to 200 etc, until the new contribution becomes sufficently small.  I have to check the 
integrande before though, because in some cases, to evaluate it I multiply large number
by small number, and the programm doesn't know what to do exactly with that ( but I
am sure that the small number is way smaller than 1/(large number)). 
So basically, that is where I am. Any comments anyone?
--
Guy Charron
-pensee de la semaine-
La vie n'a de sens que celui qu'on lui donne
			-Croenberg, sur le film "Crash"-
lundi le 16 dec.
Return to Top
Subject: Re: [Q] computation of sqrt(1-x*x) when x->0
From: charron@grbb.polymtl.ca (Guy Charron)
Date: 17 Dec 1996 19:54:58 GMT
Serge Goossens (serge@stevin.cs.kuleuven.ac.be) wrote:
: Hi,
: What is the best way to evaluate (double precision IEEE compliant)
: sqrt(1-x*x) when x -> 0 ?  
: Currently I am using: 
: sin( acos( x ) ) 
: Which can be trusted if acos() and sin() are evaluated accurately?
--
I would think about using a Taylor expansion of your function around 0.
This would give someting like
f(x) = sqrt(1-x*x) = 1 - [2*x/f(x)]*x + [2/f(x)-{4*x*x}/{f(x)}^3]*x^2 + O(x^4)
where [ ] means evaluate at x=0;
For x < 1e-4 the term in x^4 are O(1e-16).
I'm not sure about the IEEE compliancy rule though. 
Guy Charron
-pensee de la semaine-
La vie n'a de sens que celui qu'on lui donne
			-Croenberg, sur le film "Crash"-
Return to Top
Subject: please discard the previous article
From: clement@cs.sc.edu (George Clement)
Date: 17 Dec 1996 20:29:29 GMT
clement@cs.sc.edu (George Clement) writes:
>kovarik@mcmail.cis.McMaster.CA (Zdislav V. Kovarik) writes:
>>In article <32B607FB.211A3107@asu.edu>,
>>Hans D Mittelmann   wrote:
>>:George Clement wrote:
>>:> 
>>:> Hi everybody,
>>:> 
>>:> I am new to this group.
>>:> 
>>:> I have a question.
>>:> 
>>:> Is there a formula using which one can calculate
>>:>     1 + x + x^2 + x^3 + ...... + x^n
>>:> 
>>:> Given values for x and n, I would like to calculate the
>>:> progressive expression using a formula (instead of calculating
>>:> it iteratively).
>>:> 
>>:> Thanks for all the help,
>>:> 
>>:> George Clement
>>:> gclement@imonics.com
>>:Hi,
>>:are you sure you didn't have that in high-school? It's a finite
>>:geometric series with value
>>:               (1-x^(n+1))/(1-x)
>>:
>>(unless x=1, and in this case the sum is (n+1))
>> Also, if we call the sum s_n then: s_0 = 1, and recursively
>>     s_(n+1) = 1 + x * s_n
>> this time with no restrictions on x.
>>(Some high schools, I heard, are so busy teaching self-esteem that they
>>have no time for a finite geometric series :-)
>>Cheers, ZVK (Slavek).
>I just noticed that the formula works only if x is a whole number > 1.
>Is iteration the only way of calculating this series if x is fractional? like x=2.08
>Thanks,
>George Clement
Sorry, please discard the previous mail. I was trying the
formula for values x=0.08.
Thanks,
George Clement
Return to Top
Subject: Re: help required in finding a formula
From: clement@cs.sc.edu (George Clement)
Date: 17 Dec 1996 20:00:35 GMT
kovarik@mcmail.cis.McMaster.CA (Zdislav V. Kovarik) writes:
>In article <32B607FB.211A3107@asu.edu>,
>Hans D Mittelmann   wrote:
>:George Clement wrote:
>:> 
>:> Hi everybody,
>:> 
>:> I am new to this group.
>:> 
>:> I have a question.
>:> 
>:> Is there a formula using which one can calculate
>:>     1 + x + x^2 + x^3 + ...... + x^n
>:> 
>:> Given values for x and n, I would like to calculate the
>:> progressive expression using a formula (instead of calculating
>:> it iteratively).
>:> 
>:> Thanks for all the help,
>:> 
>:> George Clement
>:> gclement@imonics.com
>:Hi,
>:are you sure you didn't have that in high-school? It's a finite
>:geometric series with value
>:               (1-x^(n+1))/(1-x)
>:
>(unless x=1, and in this case the sum is (n+1))
> Also, if we call the sum s_n then: s_0 = 1, and recursively
>     s_(n+1) = 1 + x * s_n
> this time with no restrictions on x.
>(Some high schools, I heard, are so busy teaching self-esteem that they
>have no time for a finite geometric series :-)
>Cheers, ZVK (Slavek).
I just noticed that the formula works only if x is a whole number > 1.
Is iteration the only way of calculating this series if x is fractional? like x=2.08
Thanks,
George Clement
Return to Top
Subject: Re: Problem: Gravity simulator
From: scott@eviews.com (Scott Ellsworth)
Date: Tue, 17 Dec 96 23:08:59 GMT
In article <593rm7$3nh$1@o.online.no>, larsmg@online.no (Lars Marius Garshol) wrote:
>In article
> , 
>ghh@mpq.mpg.de says...
>>
>>The problem you describe is usually solved by "adaptive stepsize control"...
>>If you have trouble finding references for these, I can tell you some 
>>literature pointers.
>...
> Do you know of 
>any online sites that carry this kind of information?
You will likely have to just hit the books on this one.  Before you do, 
though, visit Amara Graps' Web site, on which she has put together a very 
complete study of the N-body problem, the various ways to solve it with 
differing numbers of bodies, and the people working on the problem.  She may 
be found at   The nbody stuff may be found in 
papers/nbody.html, last time I checked.
Also, she has good taste in pictures and illustrations on the Web site.
Scott
Scott Ellsworth          scott@eviews.com
"When a great many people are unable to find work, unemployment 
results" - Calvin Coolidge, (Stanley Walker, City Editor, p. 131 (1934))
"The barbarian is thwarted at the moat." - Scott Adams
Return to Top
Subject: Re: [Q] computation of sqrt(1-x*x) when x->0
From: Joe Pekarek
Date: Tue, 17 Dec 1996 07:57:29 -0800
Serge Goossens wrote:
> 
> Hi,
> 
> What is the best way to evaluate (double precision IEEE compliant)
> sqrt(1-x*x) when x -> 0 ?
> 
> Currently I am using:
> sin( acos( x ) )
> Which can be trusted if acos() and sin() are evaluated accurately?
Try expanding your function as a series about zero. For example,
sqrt(1-x*x)=1-1/2*x^2-1/8*x^4....
for x<-0, drop the terms that would be below the precision of your answer. 
> 
> What can one expect when using:
> sqrt(1+x) * sqrt(1-x)
> 
> Using 1-x*x is of course not an option.
> 
> How does MATLAB handle this?
> 
> >> sin(acos(1.0e-8))
> 
> ans =
> 
>      1
> 
> Thanks in advance.
> 
> Best Regards.
> 
> Serge
> --
>              Short Course on Domain Decomposition Methods
>                http://www.cs.kuleuven.ac.be/~serge/dd/
> --
>      Serge.Goossens@cs.kuleuven.ac.be        Department of Computer Science
>      http://www.cs.kuleuven.ac.be/~serge/    Katholieke Universiteit Leuven
>      Phone: +32 (0)16 327087                 Celestijnenlaan 200A
>      Fax:   +32 (0)16 327996                 B-3001 Heverlee        BELGIUM
Return to Top
Subject: Q:System of Volterra Equ. 2nd kind
From: Yesim Erke
Date: Tue, 17 Dec 1996 16:00:00 -0500
Hi,
   Since I always received big help from this news group I decided to
seek your help again.  I am trying to solve a system of Volterra
equations of the 2nd kind. These equations are the following Markov
renewal equations (Every term is a matrix)
R(0,W)=int(q(0,t)*Cost(0,t),t=0..W)+int(q(0,t)*R(t,W-t),t=0..W)
I used a program (voltra-uses trapezoidal rule) from the second edition
of Numerical Recipes but got some strange results. I used the same
program to solve just one equation which had a solution of 1. Voltra's
answer was around 1.015(as far as I remember) but I generated a result
of 0.999998 using MAPLE again with the trapezoidal rule. MAPLE's answer
is same the one that appear in Linz's "Analytical and Numerical Methods
for Volterra Equations" book. 
  I also worked on the above equation so that I can have a difference
kernel. 
  If anybody can help me with this problem, I will appreciate it.
  HAPPY HOLIDAYS :)
Yesim
Return to Top
Subject: Re: ANN: Some New Results in the Field of Discrete Math/Designs/Codes
From: bm373592@muenchen.org (Uenal Mutlu)
Date: Wed, 18 Dec 1996 02:46:45 GMT
>REPORT ON NEW OR IMPROVED RESULTS OF COVERING DESIGNS C(v,k,t,m,l,=b):
>Documenting the progress of improvements. 
Some more improvements since the last posted results: 
  v  k  t  m   l     b  bOld  Reference/Author/Pgm
 -------------------------------------------------
 19  4  3  4   1   111   118  F.L.Oats
 19  5  4  5   1   340   341  F.L.Oats
 20  4  3  4   1   129   133  F.L.Oats
 23  5  4  5   1   779   789  F.L.Oats
 23  6  4  5   1   259   260  R.Belic
 24  5  4  5   1   967   971  F.L.Oats
 26  6  4  5   1   549   556  R.Belic
 24  7	3  4   1  0054	  55  [3]
 27  7	3  4   1  0079	  80  [3]
 26  7	4  5   1  0278	 281  [3]
 20  7	5  6   1  0411	 416  [3]
 22  7	5  6   1  0689	 721  [3]
 24  7	5  6   1  1127	1143  [3]
 26  7	5  6   1  1846	1880  [3]
 28  7	5  6   1  2854	2940  [3]
 30  7	5  6   1  4264	4428  [3]
 21  7	3  4   1  0035	  36  [3]
 22  7	3  4   1  0040	  41  [3]
 23  7	3  4   1  0048	  49  [3]
 26  7	3  4   1  0068	  69  [3]
 31  7	3  4   1  0123	 124  [3]
 28  7	4  5   1  0353	 354  [3]
 21  7	5  6   1  0534	 543  [3]
 23  7	5  6   1  0868	 884  [3]
 25  7	5  6   1  1440	1461  [3]
 27  7	5  6   1  2371	2423  [3]
 29  7	5  6   1  3602	3712  [3]
 31  7	5  6   1  5267	5453  [3]
 22  7	5  7   1  0344	 346  [3]
 25  7	5  7   1  0704	 716  [3]
 26  7	5  7   1  0887	 895  [3]
 27  7	5  7   1  1151	1163  [3]
 20  7	6  6   1  6929	6935  R.Belic
 19  7	6  6   1  4728	4730  R.Belic
 29  6	3  4   1  0120	 121  R.Belic
 36  7	3  6   1  0050	  51  [3]
 37  7	3  6   1  0055	  56  [3]
 39  7	3  6   1  0068	  69  [3]
 40  7	3  6   1  0074	  75  [3]
 42  7	3  6   1  0088	  89  [3]
 43  7	3  6   1  0093	  94  [3]
 44  7	3  6   1  0101	 102  [3]
 45  7	3  6   1  0107	 108  [3]
 47  7	3  6   1  0121	 122  [3]
 48  7	3  6   1  0132	 133  [3]
 54  7	3  6   1  0197	 198  [3]
 33  7	3  4   1  0150	 151  [3]
 35  7	3  4   1  0180	 181  [3]
 37  7	3  4   1  0213	 214  [3]
 32  7	5  6   1  6394	6558  [3]
 33  7	5  6   1  7731	7915  [3]
 34  7	5  6   1  9006	9170  [3]
 28  7	5  7   1  1418	1422  [3]
 24  7	5  6   1  1143	1144  [3]
 27  7	5  6   1  2423	2436  [3]
(The list is unfortunately not in chronological order. For the 
references and email adresses cf. the prev. mails)
-- Uenal Mutlu (bm373592@muenchen.org)   
   Math Research, Designs/Codes, Data Compression Algorithms, C/C++
   Loc: Istanbul/Turkey + Munich/Germany
   *** Werbung ist von und fuer Vollidioten oder die es werden wollen ***
Return to Top
Subject: Freebody problem
From: Mike McDermott <100447.764@CompuServe.COM>
Date: 18 Dec 1996 00:23:07 GMT
I need to solve the equations of motion of a 3 dimensional free 
body,
eg a tetrahedron, positively located by a total of six links from 
its 
vertices to six fixed points. Any ideas, references, etc? It has 
been 
applied to the platform of a flight simulator, so numerical 
solutions must be known, but I can't find anything 
published in that area.
Mike McDermott
Return to Top
Subject: Re: [Q] computation of sqrt(1-x*x) when x->0
From: bruck@pacificnet.net (Ronald Bruck)
Date: Tue, 17 Dec 1996 19:54:37 -0800
In article <596tqi$11n2@service.polymtl.ca>, charron@grbb.polymtl.ca (Guy
Charron) wrote:
:Serge Goossens (serge@stevin.cs.kuleuven.ac.be) wrote:
:: Hi,
:
:: What is the best way to evaluate (double precision IEEE compliant)
:: sqrt(1-x*x) when x -> 0 ?  
:
:: Currently I am using: 
:: sin( acos( x ) ) 
:: Which can be trusted if acos() and sin() are evaluated accurately?
:
:--
:I would think about using a Taylor expansion of your function around 0.
:
:This would give someting like
:
:f(x) = sqrt(1-x*x) = 1 - [2*x/f(x)]*x + [2/f(x)-{4*x*x}/{f(x)}^3]*x^2 + O(x^4)
:where [ ] means evaluate at x=0;
:
:For x < 1e-4 the term in x^4 are O(1e-16).
:
:I'm not sure about the IEEE compliancy rule though. 
Another idea, which refines the built-in calculation:  use the identity
  \sqrt{1-x^2} = 1 - x^2 / (1 + \sqrt{1-x^2}).
Apply this to the built-in \sqrt{1-x^2} value to get a better approximation.
Even better, since for x small the quantity of true interest is
\sqrt{1-x^2}-1:  use the identity in the form
  \sqrt{1-x^2} - 1 = -x^2/(2 + \sqrt{1-x^2} - 1).
That is, for a guess u_n of \sqrt{1-x^2}-1 (which might be nothing more
than the fp hardware calculation of \sqrt{1-x^2}-1, and could well be
zero), iterate by
   u_{n+1} = -x^2/(2 + u_n)
once and see if the answer changes much.
--Ron Bruck
-- 
--Now 100% ISDN from this address
Return to Top
Subject: Optimization Line Search
From: rehbock@cs.curtin.edu.au (Volker Rehbock)
Date: 18 Dec 96 05:44:16 GMT
We have been using a number of different optimization 
routines (nlpql, FFSQP, E04VCF from NAG) at the top level
of a 2 stage optimization problem. The problem with both
nlpql and FFSQP is that the line search for each major
iteration occassionally moves the parameters quite far from
the current point which then makes our lower stage problems
infeasible. E04VCF has the option of influencing the line
search via the eta parameter and this seems to cure our
problem. Unfortunately, we only have it available on an old
machine which is too slow to solve a realistic problem for
us.
My question hence is whether anyone knows of another general
nonlinear mathematical programming routine that, like E04VCF,
allows the user to influence the line search (we can fudge 
nlpql internally to get a similar effect, but its not as
reliable...). I've looked at a number relevent sites but no
success so far.
Volker Rehbock.
Return to Top
Subject: Re: Problem: Gravity simulator
From: Gerhard Heinzel
Date: Wed, 18 Dec 1996 10:40:46 +0100
On 16 Dec 1996, Lars Marius Garshol wrote:
> In article , 
> ghh@mpq.mpg.de says...
> >
> >The problem you describe is usually solved by "adaptive stepsize control".
> >A good method to solve this kind of problem are so-called "embedded
> >Runge-Kutta Formulae" (some well known variants are called
> >Runge-Kutta-Fehlberg.) Another variety which may be useful here is called
> >Runge-Kutta-Nystrom (for second order diff. equn's without first
> >derivatives). 
> >
> >If you have trouble finding references for these, I can tell you some 
> >literature pointers.
> 
> I do have trobule, so yes, please, I'd like to have as many pointers as possible. Do you know of 
> any online sites that carry this kind of information?
> 
> Thanks,
> --Lars M.
> 
> 
If you can read german, there is a long article in the german computer 
magazine "c't" 8/92 including sample code. Here are some references:
I do have some C-programs as well, but they are not well documented, or 
only in german.
\begin{thebibliography}{99}
\bibitem{Hairer1}
Hairer,E.; N{\o}rsett,S.P.; Wanner,G.: {\em Solving Ordinary Differential
Equations I : Nonstiff Problems}: Springer Series in Comp. Math. 8 (1987)
\bibitem{Fe69}
Fehlberg, E.: {\em Klassische Runge--Kutta--Formeln f"unfter und siebenter
Ordnung mit Schrittweiten--Kontrolle}: Computing 4 (1969) pp. 93--106 mit
Berichtigung in Band 5 (1970), p.184
\bibitem{Fe85}
Fehlberg, E.: {\em Some Old and New Runge--Kutta Formulas with Stepsize Control
and Their Error Coefficients}: Computing 34 (1985) pp. 265--270
\bibitem{DP80}
Dormand, J.R., Prince, P.J.: {\em A family of embedded Runge--Kutta
formulae}: Journal of Computat. and Appl. Math. 6 (1980) pp. 19--26
\bibitem{DP81}
Dormand, J.R., Prince, P.J.: {\em High order embedded Runge--Kutta
formulae}: Journal of Computat. and Appl. Math. 7 (1981) pp. 67--75
\bibitem{DP86}
Dormand, J.R., Prince, P.J.: {\em Runge--Kutta Triples}: Comp. \& Maths.
with Appls. Vol. 12A (1986) pp.1007--1017
\bibitem{DP86a}
Dormand, J.R., Prince, P.J.: {\em A reconsideration of some embedded Runge--
Kutta formulae}: Journal of Computat. and Appl. Math. 15 (1986) pp. 203--211
\bibitem{DP89}
Dormand, J.R., Prince, P.J.: {\em Practical Runge--Kutta Processes}:
SIAM J.Sci.Stat.Comput. 10 (1989) pp. 977--989
\bibitem{Dormand}
Mitgeteilt von Dr. John Dormand, Teesside Polytechnic,
Middlesbrough, Cleveland, Gro"sbritannien.
\bibitem{art}
Shampine, L.F., Watts, H.A.: {\em The Art of Writing a Runge--Kutta Code
II.}: Applied Math. and Computation 5 (1979) pp. 93--121
\bibitem{Cal90}
Calvo, M., Montijano, J.I., R\'{a}ndez, L.: {\em A new embedded pair of Runge--
Kutta--Formulas of orders 5 and 6}: Computers Math. Applic. 20 (1990)
pp.15--24
\bibitem{Randez}
Mitgeteilt von Dr. Luis R\'{a}ndez, Universidad de Zaragoza, Spanien.
\bibitem{Verner}
Verner, J.H.: {\em Some Runge--Kutta Formula Pairs}: SIAM J. Numer. Anal. 28
(1991) pp.496--511
\bibitem{DPN87a}
Dormand, J.R., El--Mikkawy, M.E.A., Prince, P.J.: {\em Families of
Runge--Kutta--Nystrom Formulae}: IMA J.Numer.Anal. 7 (1987), pp.235--250
\bibitem{DPN87b}
Dormand, J.R., El--Mikkawy, M.E.A., Prince, P.J.: {\em High--Order
Embedded Runge--Kutta--Nystrom Formulae}: IMA J.Numer.Anal. 7 (1987),
pp.423--430; {\em Korrigendum} Band 11 (1991), p.297
\bibitem{DPN87c}
Dormand, J.R., Prince, P.J.: {\em Runge--Kutta--Nystrom Triples}: Comp. \&
Maths. with Appls. 13 (1987) pp.937--949
\bibitem{FeNy72}
Fehlberg, E.: {\em Klassische Runge--Kutta--Nystr"om--Formeln mit
Schrittweiten--
Kontrolle f"ur Differentialgleichungen $\ddot{x}=f(t,x)$}, Computing 10
(1972), pp. 305--315
\bibitem{FiNy85}
Filippi, S., Gr"af, J.: {\em Ein Runge--Kutta--Nystr"om--Formelpaar der Ordnung
11(12) f"ur Differentialgleichungen der Form $y''=f(x,y)$}, Computing 34
(1985), pp. 271--282
\bibitem{Hairer2}
Hairer,E.; Wanner,G.: {\em Solving Ordinary Differential
Equations : Stiff and Differential-Algebraic Problems}: Springer Series in
Comp. Math. 14 (1991)
\bibitem{Fatunla}
Fatunla,S.O.: {\em Numerical Methods for Initial Value Problems in Ordinary
Differential Equations}: Academic Press (1988)
\bibitem{Bloch}
Bloch, R.: {\em A Practical Method to Integrate Some Stiff Systems}:
Computers and Biomedical Research 24 (1991) pp. 420--428
\end{thebibliography}
Good Luck,
Gerhard Heinzel
=====================================================================
  Gerhard Heinzel                          E-mail:   ghh@mpq.mpg.de
  Max-Planck-Institut fuer Quantenoptik
  Hans-Kopfermann-Str. 1                    Phone: +49(89)32905-268
  D-85748 Garching                                             -252
  Germany                                     Fax: +49(89)32905-200
=====================================================================
Return to Top
Subject: FE shell element not using rotations
From: damianm@eram.esi.com.au (Damian McGuckin)
Date: 18 Dec 1996 23:11:21 +1100
A long while ago, Thomas Hughes developed a (quadrilateral) shell element
for use in stress analysis problems which had a finite thickness and had
no rotations associated with it.
Basically, it was a degenerated brick element which started off in life
in side view as
      Z
      |               8*-------------------------*7
      |               /:                        /|
      o---X          / :                       / |
     /              /  :                      /  |
    /              /  4#...................../...#3
   Y              /   .                     /   /
                 /   .                     /   /
               5*-------------------------*6  /
                |  .                      |  /
                | .                       | /
                |.                        |/
               1#-------------------------#2
where any node has displacements only associated with it, namely
	(u , v , w )
          i   i   i
However the degrees of freedom associated with the nodes, i.e. those
variables which appear in the equations which we solve ( e.g. K * u = F),
are
	(u , v , w )	for i = 1, 2, 3, 4
          i   i   i
and
	(u', v', w')	for i = 5, 6, 7, 8
          i   i   i
where
	u'  =  u  -  u		if i > 3, i.e. are relative displacements.
	 i      i     i-4
This apparently worked but has the disadvantage that the shell is not
symmetric about the X-Y central plane.
You could just as easily draw the above a 12 noded element and have the
degrees of freedom about the central plane as the actual displacements
and the degrees of freedom on the top and bottom of the element as the
relative displacements.   However, whether this made a viable finite
element is guess on my part.
Has anybody seen any work done on something like this variation, did
it fail, did it work, or have people just lost interest?
As an aside, do you submit this FE stuff to groups like sci.engr and
sci.engr.{civil, mech} or don't they appreciate it?
Thanks - Damian
-- 
Damian McGuckin / Pacific Eng Sys Int'l	  | d a m i a n m @ e s i . c o m . a u
Ph:+61-2-99063377 ... Fx:+61-2-99063468   | unsolicited email not wanted here !
Views and opinions here are mine and not those of any past or present employer.
Return to Top
Subject: Poisson's eq. well posed?
From: hiegeman@Chemietechnik.Uni-Dortmund.DE (Michael Hiegemann)
Date: 18 Dec 1996 14:45:00 +0100
Within a paper on Navier-Stokes solvers I found a correction equation, which
is Poisson's equation with Neumann boundary conditions of second order. It is
formulated in a discrete manner, but this is indeed the conclusion I would
draw.
A question arises: Do Neumann boundary conditions of second order, i.e.
   2
  d  u
  ---- = f(t)
    2
  dn
form a well posed problem? I know that the well known Neumann problem requires
an offset to fix the level of the problem as there is no other condition
prescribing any function value of the solution. So I would assume to something
similar is necessary.
Best wishes,
-----
Michael Hiegemann		  email:
University of Dortmund, CT-EPT    hiegeman@chemietechnik.uni-dortmund.de
D-44221 Dortmund		  phone: +49 231 755 3403
Federal Republic of Germany	  fax:   +49 231 755 3209
-- 
Michael Hiegemann		  email:
University of Dortmund, CT-EPT    hiegeman@chemietechnik.uni-dortmund.de
D-44221 Dortmund		  phone: +49 231 755 3403
Federal Republic of Germany	  fax:   +49 231 755 3209
Return to Top
Subject: Re: Optimization Line Search
From: Hans D Mittelmann
Date: Wed, 18 Dec 1996 06:40:17 -0700
Volker Rehbock wrote:
> 
> We have been using a number of different optimization
> routines (nlpql, FFSQP, E04VCF from NAG) at the top level
> of a 2 stage optimization problem. The problem with both
> nlpql and FFSQP is that the line search for each major
> iteration occassionally moves the parameters quite far from
> the current point which then makes our lower stage problems
> infeasible. E04VCF has the option of influencing the line
> search via the eta parameter and this seems to cure our
> problem. Unfortunately, we only have it available on an old
> machine which is too slow to solve a realistic problem for
> us.
> My question hence is whether anyone knows of another general
> nonlinear mathematical programming routine that, like E04VCF,
> allows the user to influence the line search (we can fudge
> nlpql internally to get a similar effect, but its not as
> reliable...). I've looked at a number relevent sites but no
> success so far.
> 
> Volker Rehbock.
Hi,
I strongly suggest you try DONLP2 available at
     http://plato.la.asu.edu/donlp2.html
It has several parameters (del0, tau0 etc) with which you can influence
its behavior.
Hope that helps,
-- 
Hans D. Mittelmann			http://plato.la.asu.edu/
Arizona State University		Phone: (602) 965-6595
Department of Mathematics		Fax:   (602) 965-0461
Tempe, AZ 85287-1804			email: mittelmann@asu.edu
Return to Top
Subject: Re: Constrained multi-variable optimisation
From: "Dr. Jim Pulfer"
Date: 18 Dec 1996 15:29:27 GMT
Hi:
Try Optech Solutions at:
http://www.wbm.ca/users/optimize/
Jim Pulfer
J.R.Smith  wrote in article <4p4drc$bjk@hickory.soton.ac.uk>...
> Hello,
> 
> I am looking for a public domain constrained, multiple variable
optimisation
> routine cablable of dealing with both equalities and inequalities for use
in
> an engineering application.
> 
> Any suggestions would be apprecitated.
> 
> Thanks
> 
> Jeremy Smith
> 
> 
Return to Top
Subject: SLATEC library
From: Michael Herstine
Date: Wed, 18 Dec 1996 13:04:27 -0500
I'm interested in installing the SLATEC public 
domain mathematical library, and I've downloaded 
the files from Netlib. The main file is 
slatec_src.tar.Z, which is a compressed tar file 
containing ~1400 subroutines! I'm wondering how 
others have set things up; i.e. I don't want to 
link them all into one giant library, but there 
doesn't seem to be any sort of shell script 
provided for unpacking the tar file into some 
collection of more reasonably size groups.
Any ideas?
Michael Herstine
mherstin@domaincorp.com
Return to Top
Subject: Re: URGENT HELP !!!! SUPERQUADRICS !!!
From: "Dr. Jim Pulfer"
Date: 18 Dec 1996 15:31:01 GMT
Hi:
Try Optech Solutions at:
http://www.wbm.ca/users/optimize/
Jim Pulfer
nobody@nowhere wrote in article <58s2pj$9f1@vishnu.jussieu.fr>...
>         I'm trying to use a superquadric to interpolate 3D points, I
tried the 
> approach proposed by R.Bajcsy and F.Solina but i can't understand how
they 
> programmed their minimisation of their 11 parameters ( 3 rotation 3 
> translation 5 superquadric parameters), they use a non linear
minimization 
> using least square method but the thing to minize is so hudge that i
really 
> don't know how they programmed it
> I hope someone can help me 
> Best regards
> R.Blume
> 
Return to Top
Subject: Re: Poisson's eq. well posed?
From: frensley@utdallas.edu (Bill Frensley)
Date: 18 Dec 1996 18:29:18 GMT
In article <598sgs$l7s@unidoct.Chemietechnik.Uni-Dortmund.DE>, hiegeman@Chemietechnik.Uni-Dortmund.DE (Michael Hiegemann) writes:
|> Within a paper on Navier-Stokes solvers I found a correction equation, which
|> is Poisson's equation with Neumann boundary conditions of second order. It is
|> formulated in a discrete manner, but this is indeed the conclusion I would
|> draw.
|> 
|> A question arises: Do Neumann boundary conditions of second order, i.e.
|> 
|>    2
|>   d  u
|>   ---- = f(t)
|>     2
|>   dn
|> 
|> 
|> form a well posed problem? I know that the well known Neumann problem requires
|> an offset to fix the level of the problem as there is no other condition
|> prescribing any function value of the solution. So I would assume to something
|> similar is necessary.
|> 
I would say that it is not at all well-posed.  It is not even a boundary
condition, but rather a special value for the right-hand-side at the
location of the boundary.  If this was implemented numerically, as in
a finite-difference or similar model, there was undoubtedly a boundary
condition assumed, but the authors quite possibly were not aware of 
what it was.  Often one has to see the actual program code to figure
out what was done about a boundary condition and find the mathematical 
interpretation.
-- 
Bill Frensley                            
Electrical Engineering 
University of Texas at Dallas
P.O. Box 830688, MS. EC-33
Richardson, Texas 75083-0688
Return to Top
Subject: Convergence radius of the Taylor series of a function with 3 real variables
From: Xu Xingguo
Date: Wed, 18 Dec 1996 17:45:53 +0100
Hi,
would you please help me to determine the convergence Radius of the
Taylor series of a function with 3 real variables? 
The function 
$1/|\vec r -\vec r'|$ 
with 
$\vec r=(x,y,z)$ 
and 
$\vec r'=(x',y',z')$ 
is expanded in a Taylor series 
$\sum_{n=0}^\infty \sum_{i+j+k=n}\frac 1{i!j!k!}\frac{\partial
^{i+j+k}}{\partial ^ix\partial ^jy\partial ^kz}\frac
1{|\vec{r}-\vec{r'}|}|_{\vec{r}=0}x^iy^jz^k$.
I read in a book of Kellogg (Foundations of potential theory,
Springer-Verlag, Berlin, 1967) that the series continues to converge for 
$|\vec r| < (\sqrt{2}-1)|\vec r'|$. 
I am no sure if this is a necessary condition. Can the convergence
radius be larger?
I shall be very grateful to you if you would help me or even 
recommend me a book in which I can find some concrete examples for
Taylor seires of functions with 2 or 3 variables as well as their
convergence radius. 
-- 
(Xu Xingguo)   xux@wrcs1.urz.uni-wuppertal.de
Return to Top
Subject: Re: Problem: Gravity simulator
From: Wayne Schlitt
Date: 18 Dec 1996 11:24:21 -0600
In  Mattias Bryntesson  writes:
> 
> I guess you have just discovered the slingshot effect, [ ... ]
> 
> So if you think your results are unphysical, don't worry! It's
> reality!
No, the slingshot effect _requires_ at least 3 bodies to be involved.
If there are only two bodies involved, the paths are always one of the
conic sections.  
-wayne
-- 
Wayne Schlitt can not assert the truth of all statements in this
article and still be consistent.
Return to Top
Subject: Re: How to find basis for eigenspace?
From: u24951@uicvm.uic.edu (Robert Zhang)
Date: Wed, 18 Dec 1996 15:19:55
In article <591ort$35c@hatathli.csulb.edu> rgelb@engr.csulb.edu (Robert Gelb) writes:
>Path: news.cc.uic.edu!newsfeed.acns.nwu.edu!math.ohio-state.edu!uwm.edu!www.nntp.primenet.com!nntp.primenet.com!news.bbnplanet.com!su-news-hub1.bbnplanet.com!arclight.uoregon.edu!hammer.uoregon.edu!csulb.edu!not-for-mail
>From: rgelb@engr.csulb.edu (Robert Gelb)
>Newsgroups: sci.math.num-analysis
>Subject: How to find basis for eigenspace?
>Date: 15 Dec 1996 20:59:41 GMT
>Organization: Cal State Long Beach
>Lines: 19
>Distribution: inet
>Message-ID: <591ort$35c@hatathli.csulb.edu>
>NNTP-Posting-Host: heart.engr.csulb.edu
>X-Newsreader: TIN [UNIX 1.3 950824BETA PL0]
>I am trying to figure out how to find the basis for each eigenspace of the
>following matrix:
>         2  -1   0
>        -1   2   0
>         0   0   3
>There is an example explaining how to do this particular matrix in "First
>Course In Linear Algebra" by Yacub & Moore (p.379), but the explanation
>assumes that the reader already knows most of the steps, which is not the
>case with me.
>-- 
>Robert Gelb
>Senior Systems Analyst
>Data Express
>Garden Grove, California USA
>(714)895-8832
--
Robert Zhang
University of Illinois at Chicago
E-Mail: u24951@uicvm.uic.edu
Return to Top
Subject: Special Issue on Comput. Fluids
From: wade@alpha2.csd.uwm.edu (Bruce A Wade)
Date: 18 Dec 1996 21:55:31 GMT
Subject: Special Issue of the International Journal of Applied Science 
	  and Computations
The International Journal of Applied Science and Computations will be 
publishing a special issue edited by David Schultz and Bruce Wade on 
computational fluid dynamics.  Any topics related to this area will be 
considered for publication.  
Requests for additional information can be addressed to schultz@math.uwm.edu. 
Contributors should send three copies of their paper to:
                   David Schultz, Professor
                   Department of Mathematical Sciences
                   University of Wisconsin-- Milwaukee
                   PO Box 413
                   Milwaukee, Wisconsin  53201-0413
-- 
Bruce A. Wade, Associate Professor, Dept. of Mathematical Sciences
University of Wisconsin-Milwaukee, TEL: (414) 229-5103, FAX: (414) 229-4907
E-MAIL: wade@csd.uwm.edu, WWW: http://www.math.uwm.edu/
Amateur Radio: N9UR
Return to Top
Subject: Re: cubic splines
From: gcwolter@sdrc.com (hans wolters)
Date: 18 Dec 1996 21:26:48 GMT
In article <58vit3$kmb@fountain.mindlink.net>, ghiebert@noif.ncp.bc.ca (Grant Hiebert) writes:
|> I have been able to find many examples of algorithms that generate cubic 
|> splines for (x,y) series of data, but they all insist that the "x" series be 
|> layed out as such x(1) < x(2) < x(3) < x(4)...... x(n-1) < x(n).
|> 
|> Does anyone know of one that allows for values of "x" that do not follow this 
|> pattern (ie. the spline doubles back over itself)?
|> 
Well you are interested in parametric splines (i.e. s(t) = (x(t), y(t))
as opposed to functional splines. There is a whole bunch of literature
on (cubic) parametric spline fitting, for example
Cuirves and Surfaces in CAGD by Farin (Academic Press).
This book also has a floppy with source code.
--
Hans J Wolters, PhD
SDRC 
2000 Eastman Dr.
Milford, OH 45150
Phone (513) 576-2856    Fax: (513) 576-5919
e-mail: hans.wolters@sdrc.com
Return to Top
Subject: Q: multidimensional FFT
From: "V. Karlin"
Date: 18 Dec 1996 13:43:14 GMT
Hi,
can somebody point me to free multidimensional (2-3) FFT
software in Fortran, double precision.
Thanks, Vladimir Karlin.
Return to Top

Downloaded by WWW Programs
Byron Palmer