Mathcad Toolbox - Contains analogs of functions from Mathcad - Messages
WroteI have solved one equation in sage math but not able understand how to solve in smath anybody can guide me on this. below is my equation
exercise1
r = var('r')
PI = pi.n()
rc = 281
rw = 262
Bc = 36/180*PI
F = (r^2-rw^2)*sqrt(rc^2-r^2*sin(Bc)^2)/sqrt((rc^2-rw^2)^2*rc^2*cos(Bc)^2-(r^2-rw^2)^2*(rc^2-r^2*sin(Bc)^2))
F.show()
z = function('z',r)
d = desolve_rk4(diff(z,r)-F,z,ics=[rc,0],end_points=255,step=-0.01)
list_plot(d,plotjoined=True, aspect_ratio=1)
Try this.
ODE example.sm (8 KiB) downloaded 131 time(s).
WroteThis also means that those who installed ODESolvers plug-in before 17 August 2015 will never see any updates of this plug-in and will always use outdated version. That is why I think SMath Studio message you mentioned is a good thing. I suggest to delete installed version of ODESolvers plug-in (using Extensions Manager - select plug-in and press uninstall button at the bottom of the dialog) and then install it again.
Best regards, Andrey Ivashov.
Please, uninstall and install the plugin again.
WroteI have solved one equation in sage math but not able understand how to solve in smath anybody can guide me on this. below is my equation
_____________________________
Commonly, many are confused with RK's. RK's does not output the integral curve.
They output the "cumulative area". They belong to the class "Lagrangian methods".
RK's are NOT solvers, RK's are "Integrators". They are considered more exact than
the simple Finite Differences. Very useful for integrating "systems".
Here is your example in Smath 5346 [April 2014].
Jean
ODE RK4 Example.sm (17 KiB) downloaded 115 time(s).
I have sanity checked your example, bad news: RK4 is very inaccurate.
Why is that so ? RK's are "ping pong" pieces of polynomials. Thus
turning affected by the large range of the 'x' variate. For ultimate
accuracy in this simple example, you can use the "Romberg" integrator.
This integrator works in the 0..1 range, scaled back to the 'x' range.
From various testing, I have categorised Romberg accurate to 12...15
decimals. In Scientific/Engineering works, the RK4 example is not
the best candidate. The Romberg= data is disabled, it takes few minutes.
Jean
ODE RK4 Example.sm (24 KiB) downloaded 117 time(s).
We all know that rkfixed() is not accurate, why you did not use Rkadapt() as usual we do in Mathcad?
Regards,
Ra
EDIT: BTW, If Romberg was activated in the recent SMath, it will be solved in few seconds (not in few minutes as mentioned)
Moreover, if you use lower number of steps ( "4:number" ), for example if you use 20:
sol:= Rkadapt([0],255,280,20,D(x,y))
Rkadapt will fail with the error: "Index was outside the the bonds of the array". I know that uni made these two functions rkfixed() and Rkadapt() quite long time ago, and he also made much better ODE solvers in the meantime

WroteJean,
We all know that rkfixed() is not accurate, why you did not use Rkadapt() as usual we do in Mathcad?
Regards,
Ra
Can't be more right Radovan, thanks for the comment.
1. Refactored a bit
2. Lorenz attractor Rkadapt added.
This attractor was animated last week [visit: Lorenz attractor]
Have a good day, Jean
ODE [rk4, Rkadapt, Lorenz].sm (37 KiB) downloaded 134 time(s).
After forced close you cannot be able to open Smath again unless manually deleting the plugin.
Regards
QuoteIntel ODE Solvers Library (VS2013 + VS2008, .Net 2.0, C#, C++/CLI, Win32 + x64).
Win32 + x64 - means Windows only, C++/CLI - unmanaged code used.
[albumimg]1500[/albumimg]
iode.test2.sm (22 KiB) downloaded 163 time(s).
iode.test2.pdf (121 KiB) downloaded 132 time(s).
ODE test 3. Something wrong with Rkadapt().
[albumimg]1526[/albumimg]
iode.test3.sm (24 KiB) downloaded 88 time(s).
iode.test3.pdf (112 KiB) downloaded 92 time(s).
Wrote
ODE test 3. Something wrong with Rkadapt().
Hi Viacheslav. It seems that for Rkadapt t repeats itself, at least for low N values. Maybe you can handle that with some if abs(t[n+1]-t[n])<(some tol) then do something for modify t, and not add it to the final solution. Probably it could be because your step size goes too short.
Best regards.
Alvaro.
PD: I try to use albuming for the image, but fails.
WroteODE test 3. Something wrong with Rkadapt().
Nothing more deceiving than experimenting ODEsolve.
The attached is worth the visit !
ODE Yuk.sm (28 KiB) downloaded 94 time(s).
WroteNothing more deceiving than experimenting ODEsolve.
The attached is worth the visit !
This one is interesting as well
ODE_0 Rkadapt Analyze.sm (40 KiB) downloaded 92 time(s).
WroteHi Viacheslav. It seems that for Rkadapt t repeats itself, at least for low N values.
It looks OK to me from Rkadapt design.
It reaches solution in 42 steps vs fixed 100.
iode.test3 Strip Rkadapt.sm (11 KiB) downloaded 89 time(s).
WroteIt reaches solution in 42 steps vs fixed 100.
... In fact: Rkadapt reaches solution in 35 steps.
MCD Rkadapt results in equally spaced solutions.
MCD rkadapt comes with two extra parameters
"acc" accuracy
"s" step size
As it looks Smath Rkadapt muffs the start,
Try 34/35 => observe the result.
iode.test3 Strip Rkadapt.sm (16 KiB) downloaded 81 time(s).
WroteODE test 3. Something wrong with Rkadapt().
Here is another oddity: NO Smath ODE solvers cope with the 'Floor".
ODE rkfixed Pulse Pitfall.sm (57 KiB) downloaded 98 time(s).
WroteWrote
ODE test 3. Something wrong with Rkadapt().
Hi Viacheslav. It seems that for Rkadapt t repeats itself, at least for low N values. Maybe you can handle that with some if abs(t[n+1]-t[n])<(some tol) then do something for modify t, and not add it to the final solution. Probably it could be because your step size goes too short.
Wrote
MCD rkadapt comes with two extra parameters
"acc" accuracy
"s" step size
Hi. Probably, acc = (some tol) and s = minimun step size, in case that s = s/2 is too small.
Best regards.
Alvaro.
WroteODE test 3. Something wrong with Rkadapt().
Thanks Viacheslav for your dedication,
There is no such test function wrt ODE solvers. Each case is specific.
This is so true that the specific Radau ODE solver was designed for HIRES.
Many projects need fixed steps, other are solved via Rkadapt.
YUK & RK4 lasted quite a while in the Mathsoft Collaboratory.
They are reliable, again no way to verdict with others w/o test reference data.
Cheers ... Jean
Integral 0000 f(x,t) RK4 [Short] Copy.sm (71 KiB) downloaded 86 time(s).
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