Skip to main content

differential equations - Only final result from NDSolve


Finally, I started to play with differential equations in Mathematica.


And I have faced the problem, which seems to me so basic that I'm afraid this question is going to be closed soon. However, I've failed in finding solution here or in the documentation center.


My question is: how to set that NDSolve will not save whole InterpolationFunction for the result?



I'm only interested in final coordinates or for example each 100th. Is there simple way to achieve that?




Anticipating questions:




  • I know I can do something like r /@ Range[0.1, 1, .1] /. sol at the end, but still, there is whole interpolating function in memory. I want to avoid it because my final goal is to do N-Body simulation where N is huge and I will run out of the memory quite fast. What is important to me is only the set of coordinates as far in the future as it can be, not intermediate values.




  • I can write something using Do or Nest but I want to avoid it since NDSolve allows us to implement different solving methods in handy way.





  • I saw WolframDemonstrations/CollidingGalaxies and it seems there is an explicit code with Do :-/




  • Another idea would be to put NDSolve into the loop but this seems to be not efficient. Could it be even compilable?






Just in case someone wants to show something, here is some sample code to play with:


G = 4 Pi^2 // N ;


sol = NDSolve[{
r''[t] == -G r[t]/Norm[r[t]]^3,
r[0] == {1, 0, 0},
r'[0] == {0, 2 Pi // N, 0}
},
r,
{t, 0, 1}, Method -> "ExplicitRungeKutta", MaxStepSize -> (1/365 // N)
]


ParametricPlot3D[Evaluate[r[t] /. sol], {t, 0, 1}]

(* Earth orbiting the Sun. Units: Year/AstronomicalUnit/SunMass
in order to express it simply*)

Answer



Here is a solution inspired from tutorial/NDSolveStateData (Mathematica 8):


G = 4 Pi^2 // N;

stateData =
First[

NDSolve`ProcessEquations[
{ r''[t] == -G r[t]/Norm[r[t]]^3,
r[0] == {1, 0, 0},
r'[0] == {0, 2 Pi // N, 0}
},
r,
{t, 0, 1},
Method -> "ExplicitRungeKutta",
MaxStepSize -> (1/365 // N)]]


res = Table[
NDSolve`Iterate[stateData, i/365];
rAndDerivativesValues = NDSolve`ProcessSolutions[stateData, "Forward"];
stateData = First @ NDSolve`Reinitialize[stateData, Equal @@@ Most[rAndDerivativesValues]];
rAndDerivativesValues,
{i, 1, 365, 7 (* 7 = each week*)}
] ;

rAndDerivativesValues is the value of r[t] and its derivative at each week.
Example : example



Here is one revolution of the Earth around the Sun :


ListPointPlot3D[#[[1, 2]] & /@ res ]

weekly Earth positions


Comments

Popular posts from this blog

plotting - How to draw lines between specified dots on ListPlot?

I would like to create a plot where I have unconnected dots and some connected. So far, I have figured out how to draw the dots. My code is the following: ListPlot[{{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4,13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full] I have thought using ListLinePlot command, but I don't know how to specify to the command to draw only selected lines between the dots. Do have any suggestions/hints on how to do that? Thank you. Answer One possibility would be to use Epilog with Line : ListPlot[ {{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4, 13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full, Epilog -> { Line[ ...

dynamic - How can I make a clickable ArrayPlot that returns input?

I would like to create a dynamic ArrayPlot so that the rectangles, when clicked, provide the input. Can I use ArrayPlot for this? Or is there something else I should have to use? Answer ArrayPlot is much more than just a simple array like Grid : it represents a ranged 2D dataset, and its visualization can be finetuned by options like DataReversed and DataRange . These features make it quite complicated to reproduce the same layout and order with Grid . Here I offer AnnotatedArrayPlot which comes in handy when your dataset is more than just a flat 2D array. The dynamic interface allows highlighting individual cells and possibly interacting with them. AnnotatedArrayPlot works the same way as ArrayPlot and accepts the same options plus Enabled , HighlightCoordinates , HighlightStyle and HighlightElementFunction . data = {{Missing["HasSomeMoreData"], GrayLevel[ 1], {RGBColor[0, 1, 1], RGBColor[0, 0, 1], GrayLevel[1]}, RGBColor[0, 1, 0]}, {GrayLevel[0], GrayLevel...

equation solving - Invert and fit implicitly defined curve

I need to fit an implicitly defined curve. I thought I could get some data out of Solve , and then using FindFit . Therefore, I would like to find the relation the parametric curve defined by $F(x,y)=0$: Solve[-(1/2) + 1/2 (0.41202 BesselK[0, 0.1 Sqrt[x^2 + y^2]] + (0.101483 x BesselK[1, 0.1 Sqrt[x^2 + y^2]])/Sqrt[x^2 + y^2]) == 0, y] But I can't get an output: Solve was unable to solve the system with inexact coefficients or the system obtained by direct rationalization of inexact numbers present in the system. Since many of the methods used by Solve require exact input, providing Solve with an exact version of the system may help. >> Edit: In particular, I would like to fit the data coming from the curve with the expression of another curve, and not with a function $f(x)$. In particular, since this clearly looks like a cardioid , I would like it to fit to something like it. What other strategies could I try?