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Question: Liblip problem - Loss of Kernel connection

Question:Liblip problem - Loss of Kernel connection

Peter Berthold 32 Maple
convert
May 01 2007
0
Hello all. I am have recently gotten help in here, where it was suggested to me that i used Liblip to interpolate my 3d datasets. This has worked fine after i figured out how to make it work. I have however now encountered a problem with the LipIntSmoothLipschitz command, where on the latest dataset i am running, it makes a memory drain which ultimately after a long data accumulation, results in Kernel connection loss. I hope someone has an idea of what is wrong. My loaded data is assigned like this: First line: 2 (number of dimensions), 1852 (number of lines) Second line and below: X Y Z (In first part sorted by increasin Y) Here is my setup (Have made notes in, and at the bottom of worksheet):

Maple Equation

> Maple Equation

> Maple Equationrestart;
with(plots):

Warning, the name changecoords has been redefined

> Maple EquationDLLPATH:="mapleliblip.dll":
...The loading commands have been omitted, but are as supplied in the applications center...

> Maple Equationfp := fopen(`Cross12_Maple_ALL2.txt`,READ,TEXT):
dimensions := fscanf(fp, `%d %d`):
dim:= dimensions[1]:
Ndata:=dimensions[2]:
XD:=Matrix(1..Ndata, 1..dim,datatype=float[8], order=C_order):
YD:=Vector(1..Ndata,datatype=float[8], order=C_order): # will hold the function values
X:=Vector(1..dim,datatype=float[8]):
for i from 1 to Ndata do
for j from 1 to dim do
dat := fscanf(fp, `%f `):
XD[i,j]:= dat[1]:
od:
dat := fscanf(fp, `%f`):
YD[i]:= dat[1]:
od:
fclose(fp):
Lo:=Vector(1..2,datatype=float[8],[-1.2,0]):
Up:=Vector(1..2,datatype=float[8],[1.2,3]):

> Maple Equation

> LipIntComputeLocalLipschitz(dim, Ndata, XD,YD);

> Maple Equation

> f_aux:=(t1,t2)->LipIntValueLocal(dim,Ndata, convert([t1,t2],Vector,datatype=float[8]), XD,YD):
R:=50.0: #plot resolution
sdata :=[seq([ seq([i/R,j/R,f_aux(i/R,j/R)], i=R*Lo[1]..R*Up[1])], j=R*Lo[2]..R*Up[2])]:
S1:=surfdata(sdata,axes=normal,grid=[10,10],style=HIDDEN, axes=BOXED,orientation=[-140,60]):
S2:=pointplot3d({seq([XD[k,1],XD[k,2],YD[k]],k=1..Ndata)},axes=BOXED,color=BLACK):
display({S1,S2});

> Maple Equation

> LipIntComputeLocalLipschitz(dim,Ndata,XD,YD);
f_aux1:=(t1,t2)->LipIntValueLocal(dim,Ndata, convert([t1,t2],Vector,datatype=float[8]), XD,YD):
f_aux1(0.1,0.2); #test the auxiliary function

> Maple EquationR:=20.0: #plot resolution
sdata :=[seq([ seq([i/R,j/R,f_aux1(i/R,j/R)], i=R*Lo[1]..R*Up[1])], j=R*Lo[2]..R*Up[2])]:
S1:=surfdata(sdata,axes=normal,grid=[100,100],style=HIDDEN, axes=BOXED,orientation=[25,50]):
S2:=pointplot3d({seq([XD[k,1],XD[k,2],YD[k]],k=1..Ndata)},axes=BOXED,color=BLACK):
display({S1,S2});

> Maple Equation

> LC:=20: # this is a desired value
TD:=Vector(1..Ndata,datatype=float[8], order=C_order): # will hold the smoothened values

> LipIntSmoothLipschitz(dim, Ndata,XD,YD,TD,LC,0,0,0);

After this command, no matter what LC I put in, I get an error: Memory count stops, time count stops and maple accumulate data for a long period of time, in some cases up to 2 GB, until I get an error message saying: “Kernel connection lost”. I have run the exact same setup with a smaller dataset, where x-values are only in the interval of x=-0.6..0.6 (compared to the -1.2..1.2), but otherwise is the same dataset, and there I do not have any problems computing a result and displaying it. I am running Maple 10, in Java Runtime Environment v.1.6.0_01. I know there has been a problem with v.1.5, but am not aware whether the newer version has bugs too. This should however not be the problem since I have made it work with other calculations. NB: I had the same problems when I was running a set of data, like this, where I had not scaled everything down by a factor 1000. Thank you for any help!

> Maple Equation

>

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