--- /srv/reproducible-results/rbuild-debian/r-b-build.HTlJFQqG/b1/g2o_0~20230806-4.1_arm64.changes +++ /srv/reproducible-results/rbuild-debian/r-b-build.HTlJFQqG/b2/g2o_0~20230806-4.1_arm64.changes ├── Files │ @@ -1,5 +1,5 @@ │ │ c25fa8f3462fb4b5a7126da664065c59 124052 libdevel optional libg2o-dev_0~20230806-4.1_arm64.deb │ - 8f1fbfeefac6d044e7b0a3cb3c084b59 208955860 doc optional libg2o-doc_0~20230806-4.1_all.deb │ + d497665e3fd983e4d44b83e9a9ec4880 208955964 doc optional libg2o-doc_0~20230806-4.1_all.deb │ c4624312540b1ff8880f3a9c659550cf 149805124 debug optional libg2o0t64-dbgsym_0~20230806-4.1_arm64.deb │ bb0f62b89d1b28adb9b69b8bceea9417 748316 libs optional libg2o0t64_0~20230806-4.1_arm64.deb ├── libg2o-doc_0~20230806-4.1_all.deb │ ├── file list │ │ @@ -1,3 +1,3 @@ │ │ -rw-r--r-- 0 0 0 4 2024-02-28 09:35:01.000000 debian-binary │ │ --rw-r--r-- 0 0 0 162160 2024-02-28 09:35:01.000000 control.tar.xz │ │ --rw-r--r-- 0 0 0 208793508 2024-02-28 09:35:01.000000 data.tar.xz │ │ +-rw-r--r-- 0 0 0 162156 2024-02-28 09:35:01.000000 control.tar.xz │ │ +-rw-r--r-- 0 0 0 208793616 2024-02-28 09:35:01.000000 data.tar.xz │ ├── control.tar.xz │ │ ├── control.tar │ │ │ ├── ./md5sums │ │ │ │ ├── ./md5sums │ │ │ │ │┄ Files differ │ ├── data.tar.xz │ │ ├── data.tar │ │ │ ├── file list │ │ │ │ @@ -180,15 +180,15 @@ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2075 2023-08-06 13:01:18.000000 ./usr/share/doc/libg2o-dev/examples/tutorial_slam2d/tutorial_slam2d.cpp.gz │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2021 2023-08-06 13:01:18.000000 ./usr/share/doc/libg2o-dev/examples/tutorial_slam2d/types_tutorial_slam2d.cpp │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1613 2023-08-06 13:01:18.000000 ./usr/share/doc/libg2o-dev/examples/tutorial_slam2d/types_tutorial_slam2d.h │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1871 2023-08-06 13:01:18.000000 ./usr/share/doc/libg2o-dev/examples/tutorial_slam2d/vertex_point_xy.cpp │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2148 2023-08-06 13:01:18.000000 ./usr/share/doc/libg2o-dev/examples/tutorial_slam2d/vertex_point_xy.h │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1879 2023-08-06 13:01:18.000000 ./usr/share/doc/libg2o-dev/examples/tutorial_slam2d/vertex_se2.cpp │ │ │ │ -rw-r--r-- 0 root (0) root (0) 2156 2023-08-06 13:01:18.000000 ./usr/share/doc/libg2o-dev/examples/tutorial_slam2d/vertex_se2.h │ │ │ │ --rw-r--r-- 0 root (0) root (0) 606317 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/g2o.pdf.gz │ │ │ │ +-rw-r--r-- 0 root (0) root (0) 606254 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/g2o.pdf.gz │ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/html/ │ │ │ │ -rw-r--r-- 0 root (0) root (0) 9737 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/html/FlexLexer_8h.html │ │ │ │ -rw-r--r-- 0 root (0) root (0) 1537 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/html/FlexLexer_8h__dep__incl.map │ │ │ │ -rw-r--r-- 0 root (0) root (0) 32 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/html/FlexLexer_8h__dep__incl.md5 │ │ │ │ -rw-r--r-- 0 root (0) root (0) 39947 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/html/FlexLexer_8h__dep__incl.png │ │ │ │ -rw-r--r-- 0 root (0) root (0) 503 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/html/FlexLexer_8h__incl.map │ │ │ │ -rw-r--r-- 0 root (0) root (0) 32 2024-02-28 09:35:01.000000 ./usr/share/doc/libg2o-dev/html/FlexLexer_8h__incl.md5 │ │ │ ├── ./usr/share/doc/libg2o-dev/g2o.pdf.gz │ │ │ │ ├── g2o.pdf │ │ │ │ │ ├── pdftotext {} - │ │ │ │ │ │ @@ -1,12 +1,12 @@ │ │ │ │ │ │ g2o: A general Framework for (Hyper) Graph Optimization │ │ │ │ │ │ Giorgio Grisetti, Rainer Kümmerle, Hauke Strasdat, Kurt Konolige │ │ │ │ │ │ email: {grisetti,kuemmerl}@informatik.uni-freiburg.de │ │ │ │ │ │ strasdat@gmail.com konolige@willowgarage.com │ │ │ │ │ │ -February 27, 2026 │ │ │ │ │ │ +January 26, 2025 │ │ │ │ │ │ In this document we describe a C++ framework for performing the optimization of nonlinear least │ │ │ │ │ │ squares problems that can be embedded as a graph or in a hyper-graph. A hyper-graph is an extension │ │ │ │ │ │ of a graph where an edge can connect multiple nodes and not only two. Several problems in robotics and │ │ │ │ │ │ in computer vision require to find the optimum of an error function with respect of a set of parameters. │ │ │ │ │ │ Examples include, popular applications like SLAM and Bundle adjustment. │ │ │ │ │ │ In the literature, many approaches have been proposed to address this class of problems. The naive │ │ │ │ │ │ implementation of standard methods, like Levenberg-Marquardt or Gauss-Newton can lead to acceptable