ADMB-11.4
Released May 29, 2015
ADMB installation for Ubuntu operating system using Debian package manager (dpkg).
Note — Installing ADMB with dpkg is still experimental.
Note — The installation will copy the admb script to /usr/local/bin and put the distribution in /usr/local/admb. It is no longer necessary to append the PATH or to set ADMB_HOME system variables.
Download ADMB debian package
For Ubuntu 14LTS (64Bit), download admb-11.4-ubuntu14-64bit-experimental_11.4.deb.
Install ADMB using Debian package manager (dpkg) as super-user.
$ sudo dpkg -i admb-11.4-ubuntu14-64bit-experimental_11.4.deb
Build and run the simple example.
Open Terminal, then type admb for Usage options.
~$ admb
Builds AD Model Builder executable or library.
Usage: admb [-c] [-d] [-g] [-r] [-f] model [src(s)]
Options:
-c Build only object file(s) (.obj).
-d Build a shared library (.so).
-g Build with debug symbols.
-r Build with Random effects library (ADMB-RE).
-f Build with Fast optimized mode library (no bounds checking).
By default, admb script builds with bounds checking.
model TPL file (ie simple.tpl or the filename simple with no .tpl
extension)
src(s) C/C++ Source file(s) containing classes, methods and variables that
are used in model.
Copy simple example to HOME directory.
[~]$ cp -R /usr/local/admb/examples/admb/simple .
Change simple example directory.
[~]$ cd simple
Build the simple example.
[~/simple/]$ admb simple
*** Parse: simple.tpl
tpl2cpp simple
*** Compile: simple.cpp
g++ -c -O3 -I. -I"/usr/local/admb/include" -I"/usr/local/admb/contrib/include" -osimple.obj simple.cpp
*** Linking: simple.obj
g++ -O3 -osimple simple.obj "/usr/local/admb/contrib/lib/libcontrib.a" "/usr/local/admb/lib/libadmb.a"
Successfully built executable.
Run the simple example.
[~/simple/]$ ./simple
Initial statistics: 2 variables; iteration 0; function evaluation 0; phase 1
Function value 3.6493579e+01; maximum gradient component mag -3.6127e+00
Var Value Gradient |Var Value Gradient |Var Value Gradient
1 0.00000 -3.61269e+00 | 2 0.00000 -7.27814e-01 |
- final statistics:
2 variables; iteration 7; function evaluation 19
Function value 1.4964e+01; maximum gradient component mag -7.0014e-05
Exit code = 1; converg criter 1.0000e-04
Var Value Gradient |Var Value Gradient |Var Value Gradient
1 1.90909 -7.00140e-05 | 2 4.07818 -2.08982e-05 |
Estimating row 1 out of 2 for hessian
Estimating row 2 out of 2 for hessian
Read manuals for more information.
For help and support, contact users@admb-project.org.