Why does MATLAB 7.0 (R14) crash when I attempt to edit a 3-D plot with many data points?

When I try to use PLOTTOOLS with a figure containing subplots and containing a large number of data points, I receive the following segmentation violation::

 ------------------------------------------------------------------------

        Segmentation violation detected at Tue Nov 09 17:27:56 2004

 ------------------------------------------------------------------------

 Configuration:

   MATLAB Version:   7.0.1.24704 (R14) Service Pack 1

   Operating System: Microsoft Windows XP

   Window System:    Version 5.1 (Build 2600: Service Pack 1)

   Processor ID:     x86 Family 15 Model 2 Stepping 9, GenuineIntel

   Virtual Machine:  Java 1.4.2_04 with Sun Microsystems Inc. Java HotSpot(TM) Client VM

     (mixed mode)

   Default Charset:  ibm-5348_P100-1997

 Register State:

   EAX = 00000018  EBX = 00000000

   ECX = 00ccbb82  EDX = 7928f7a0

   ESI = 7928f7a0  EDI = 00000018

   EBP = 00cdce88  ESP = 00cdce7c

   EIP = 7918780f  FLG = 00010206

 Stack Trace:

   [0] hg.dll:??$_Uninit_fill_n@PAUPAAvgList@@KU1@V?$MatlabAllocator@UPAAvgList@@@@@std@@YAXPAUPAAvgList@@KABU1@AAV?$MatlabAllocator@UPAAvgList@@@@U_Nonscalar_ptr_iterator_tag@0@@Z(0, 0x00ccbb83 "w+£õw", 0x7928f7a0, 0x00cdcf00) + 31 bytes

   [1] hg.dll:public: void __thiscall std::vector<struct PAAvgList,class MatlabAllocator<struct PAAvgList> >::_Construct_n(unsigned long,struct PAAvgList const &)(0x00ccbb83 "w+£õw", 0x7928f7a0, 0, 0x0f7027b0) + 77 bytes

   [2] hg.dll:int __cdecl DrawAxisKidsSorted(struct GObject_tag *,struct RenderBuffer *,class std::vector<struct ObjList,class MatlabAllocator<struct ObjList> > &,void *,void *,int)(0, 0x70040e07, 0x2b041e25, 0x00ccbb83 "w+£õw") + 84 bytes

   [3] hg.dll:_RenderAxis(0x0f7027b0, 0, 0, 0) + 825 bytes

   [4] hg.dll:_GO_Render(0x0f7027b0, 0, 0, 0) + 173 bytes

   [5] hg.dll:bool __cdecl RenderChildrenRecursive(struct GObject_tag *)(0x0f665590, 0x0f5d6790, 0x0f665590, 0) + 133 bytes

 <snip>

Answer 1

[MathWorks Support Team]

This bug has been fixed in Release 14 Service Pack 3 (R14SP3). For previous product releases, read below for any possible workarounds:

We have verified there is a bug in MATLAB 7.0 (R14) in the way PLOTTOOLS handles large amounts of data. There are currently no known workarounds.