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[Octave-bug-tracker] [bug #56232] Octave crash when inverting an empty s
From: |
Kai Torben Ohlhus |
Subject: |
[Octave-bug-tracker] [bug #56232] Octave crash when inverting an empty sparse matrix. |
Date: |
Sun, 28 Apr 2019 14:38:52 -0400 (EDT) |
User-agent: |
Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.108 Safari/537.36 |
URL:
<https://savannah.gnu.org/bugs/?56232>
Summary: Octave crash when inverting an empty sparse matrix.
Project: GNU Octave
Submitted by: siko1056
Submitted on: Sun 28 Apr 2019 08:38:51 PM CEST
Category: Octave Function
Severity: 4 - Important
Priority: 5 - Normal
Item Group: Segfault, Bus Error, etc.
Status: None
Assigned to: None
Originator Name:
Originator Email:
Open/Closed: Open
Discussion Lock: Any
Release: 5.1.0
Operating System: Any
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Details:
I was pointed to an Octave crash, when entering the following line into Octave
4.4.1, 5.1.0, or the 6.0 (hg id: 726d945f23de):
C = sparse (ones (2)); C = C - C; inv (C)
The point is, that by computation the 2x2 sparse matrix becomes empty and
calling `inv` crashes Octave. On the other hand, when creating an empty
matrix, only an error is thrown:
C = sparse (2, 2, 0); inv (C)
error: inv: sparse_lu: symbolic factorization failed
Matlab R2019a warns in both cases only:
Warning: Matrix is singular to working precision.
Using GDB debugging, I got the following:
Thread 7 "QThread" received signal SIGSEGV, Segmentation fault.
0x00007ffff58f344e in SparseMatrix::tinverse (address@hidden,
mattype=..., address@hidden: 0,
address@hidden: 0, calccond=false) at
liboctave/array/dSparse.cc:734
734 retval.xridx (cx) = i;
Somehow octave::math::sparse_lu<SparseMatrix>
https://hg.savannah.gnu.org/hgweb/octave/file/ad77f3204eda/liboctave/array/dSparse.cc#l976
seems not to catch this case of an empty matrix and does not prevent the
following computation. Maybe I can add a check for this case?
_______________________________________________________
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- [Octave-bug-tracker] [bug #56232] Octave crash when inverting an empty sparse matrix.,
Kai Torben Ohlhus <=