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):

I hope someone can help me. I am using Maple 10 to make a model of some of my research on fruitfly dorsal-ventral formation. I am far from a math and maple expert, so i hope someone in here can help me. I have plottet my data with pointplot3d and need a function i can fit to to my data. Have tried with one time-frame at a time, using fit[leastsquares], but don't get a good result. Have a lot of "noise" on my measurements, that probably wont give a good result, I therefore need a full 3d fit. The data seen from (y,z)-axis is increasing "shark-fin" pattern: .............................................xxxxxxxxx

I hope someone can help me. I am using Maple 10 to make a model of some of my research on fruitfly dorsal-ventral formation. I am far from a math and maple expert, so i hope someone in here can help me. I have plottet my data with pointplot3d and need a function i can fit to to my data. Have tried with one time-frame at a time, using fit[leastsquares], but don't get a good result. Have a lot of "noise" on my measurements, that probably wont give a good result, I therefore need a full 3d fit. The data seen from (y,z)-axis is increasing "shark-fin" pattern: ....................................xxxxxxxxx