Giac is a C++ library that has types for symbolic algebraic manipulations. Xcas is a GUI linked with Giac that provides the functionnalities of a general purpose computer algebra system. Giac's name derive from http://www.ginac.de, another C++ library for symbolic algebraic computations.
If you want to use xcas/giac
like another CAS and your OS is
Intel x86 GNU/Linux or Intel StrongARM GNU/Linux or Windows 9x or Mac OS
X.4(+), then
you don't need to worry about compilation. Instead you can install
precompiled binaries:
Unpack the archive with tar xvfz xcas_user.tgz
then cd xcas
and ./xcas
/
directory
xcas
from the Start menu.
xcas
from the Applications.
Get Giac source at ftp://ftp-fourier.univ-grenoble-alpes.fr/xcas/giac_stable.tgz
or http://perso.wanadoo.fr/bernard.parisse/.
Check that your C++ compiler understand the C++ ANSI 3 norm. For
example gcc
version 2.95 or later will work. If the GMP GNU Math
Precision Library is not installed on your system, install it:
http://www.gnu.org/directory/gnump.html. If you are using GNU/Linux,
the GMP library is most probably installed but the headers files
might not, check for a package named something like gmp-devel
.
make clean ./configure NTL_GMP_LIP=on NTL_STD_CXX=on make make install
src/basemath/polarit2.c
: remove the word
static
from the declaration:
static GEN combine_factors(...)
src/headers/paridecl.h
: Add the line
GEN combine_factors(GEN a, GEN famod, GEN p, long klim, long hint);
in the * polarit2.c
section.
make install
)
and check that libpari.a
has been updated or copy it explicitely
from the O<your_os>
directory.
/usr/local/include/pari/pariinl.h
labs
by std::abs
otherwise you might get compiler errors.
long pari_mem_size=10000000;
The ./configure
shell-script recognizes the following options:
These options can be turned off using --disable-option-name
instead of
--enable-option-name
. By default configure
will use these
options if the libraries are available on your system.
For full speed binaries, before calling configure
do (with bash
as shell)
$ export CXXFLAGS="-O3 -fexpensive-optimizations -malign-loops=2 -malign-jumps=2 -malign-functions=2"
or (with tcsh as shell)
$ setenv CXXFLAGS "-O3 -fexpensive-optimizations -malign-loops=2 -malign-jumps=2 -malign-functions=2"
Like with any autoconfiguring GNU software, you can type :
./configure
[add options as needed: try ./configure -help for option info]
make
make check
[become root if necessary]
make install
Tips:
-g
before calling configure, with tcsh
setenv CXXFLAGS -g, with bash export CXXFLAGS=-g.
./configure --disable-gui
make
config.h
defines HAVE_LIBFLTK and does not define
HAVE_LIBGSL and HAVE_LIBGSLCBLAS unless you have these libraries too, then
make -f Makefile.ipaq
Note that I never succeded to build with optimization for the iPaq.
You can compile the library version of giac like under Unix.
Or assuming you have the cygwin tools, gmp and FLTK installed (see
http://sources.redhat.com/cygwin for cygwin, run cygwin,
go in the src
directory and run
make -f Makefile.win
After that, you may run xcas.exe
standalone, provided
/usr/bin/cygwin1.dll
has been copied in the path (e.g. in the same
directory as xcas.exe
)
make check
,
please note that the answer assume PARI and NTL are enabled.
Otherwise you will get some errors because factoring will not
return the factors in the same order.
src/Makefile
and if necessary replace the line :
CXXFLAGS = -g -O2
by :
CXXFLAGS = -g
autoheader: Symbol 'CONSTANT_DEBUG_SUPPORT' is not covered by ...
run
autoheader --localdir=.
modpoly.cc
, it's most certainly
because you compiled NTL without namespaces. Recompile it (see section)
modfactor.o
it's because you did not modify PARI correctly or
forgot to re-install the PARI libraries (see section)
cp libpari.a /usr/local/lib mkdir /usr/local/include/pari cp src/headers/*.h /usr/local/include/pari cp Ocygwin/*.h /usr/local/include/pari
Then I got an error compiling pari.cc
that dispeared by commenting
the offending line in the header /usr/local/include/pari/paricom.h
After that all went OK.
xcas
is an user-interface to giac that is similar to a calculator.
A readline interface named cas
is also available.
You can use but you don't need to have a keyboard to use xcas, it is designed to be used on a PDA as well. Use the green shift button to get the button-keyboard.
The window is composed from left and up to right and down of:
The on-line help gives a short description of all the CAS commands with examples that can be pasted to the commandline. A more complete description is available by clicking on Details. Command completion is enabled in commandlines with the Tab key.
Printing may be done natively to Postscript or with a working
LaTeX
installation (with pstricks
for 2-d graphs).
A list of commands of the CAS system.
The gcd
and lcm
commands apply to both argument types : they
return the greatest common divisor or the least common multiplicator.
Other arithmetic commands must begin with an i
if you want
to use them with integers, otherwise the arguments will be considered
as constant polynomials.
Given two integers a
and b
, the euclidean integer division
is defined by the equality :
a=b*q+r
where usually r
is taken between 0 and b-1
, or
in the symmetric representation, between -b/2
and b/2
.
The functions iquo(a,b)
and irem(a,b)
return respectively
q
and r
, or iquorem(a,b)
return both in a vector.
The smod(a,b)
function will return r
using the symmetric
remainder convention.
The gcd(a,b)
function returns the greatest common divisor
d
of two integers a
and b
. If you need two integers
u
and v
such that:
a*u+b*v=d
you should call egcd(a,b)
instead, it will return [u,v,d]
.
The ichinrem([a,n],[b,m])
call where n
and m
are prime together will return a vector [c,n*m]
such that
c=a (mod n)
and c=b (mod m)
.
The is_prime(a)
function will return 0 if a
is not prime.
It will return 2 if a
is known to be prime, and 1 if a
is a (strong) pseudo-prime. If you have compiled xcas
with PARI
support, you will get a prime certificate instead (see PARI documentation for
more information).
The nextprime(a)
and prevprime(a)
will return the next
or previous (pseudo-)prime, given an integer a
.
The ifactor(a)
function returns a factorization of a
.
It is a good idea to compile with PARI support if you plan to factor
relatively large integers (with prime factors having more than 20 digits).
Additional integer functions provided by xcas
are
jacobi(a,b)
and legendre(a,b)
, see the GMP documentation for more details.
pa2b2(p)
return [a,b]
so that p=a*a+b*b
if p=1 (mod 4)
is prime.
Polynomials have two representations: symbolic representation or
by a vector of coefficients. In the symbolic representation you might
add the variable name as an additionnal parameter to the functions
you call, otherwise the default variable is used. For the vector
representation, it is recommended to use the right delimiter poly1[
instead of [
so that usual operations (addition, ...) behave
correctly (i.e. not like vectors or matrices).
quo(a,b)
rem(a,b)
and quorem(a,b)
return respectively q
, r
and [q,r]
polynomials
so that a=b*q+r
and degree(r)<degree(b)
gcd(a,b)
return the greatest common divisor of two
polynomials
egcd(a,b)
is the extended euclidean GCD algorithm, like for
integers it returns a list of 3 polynomials u,v,d
such
that au+bv=d
.
chinrem
return the chinese remainder for polynomials written
as lists. The 2 arguments are two lists made of a polynomial modulo
another polynomial (where the modulo polynomials must be prime together).
The answer is the polynomial modulo the product of the modulo polynomials
that reduce to the original polynomials modulo the original modulo
polynomials
cyclotomic
takes an integer n as argument and returns the
n-th cyclotomic polynomial.
The normal
command rewrites a rational fraction as a ratio of two
coprime polynomials. If an expression is not rational, it is first
rationalized by substitution of transcendental expressions (e.g.
sin(x)
by a temporary identifier. Algebraic expressions
(e.g. sqrt(x)
) are normalized too.
The factor
command factorize polynomials. Like above a non
polynomial expression is first rationalized. You can choose the main
variable with respect to which the polynomial will be factorized by
adding it as second argument of factor
.
The texpand
function is called to expand transcendental
expressions like exp(x+y)=exp(x)*exp(y)
or similar rules
for trigonometric functions. The tlin
function does
the reverse operation for trigonometric functions, as the lin
function does it for exponentials.
The halftan
function rewrites trigonometric expressions
in terms of the tangent of the half angle. The hyp2exp
function rewrites hyperbolic functions in terms of exponentials.
The differentiation instruction is diff(expression,variable)
.
The undefined antiderivative is obtained using
integrate(expression,variable)
. If you need defined integration
between bounds a
and b
, choose
integrate(expression,variable,a,b)
for exact integration
or romberg(expression,variable,a,b)
for numeric integration.
Example of defined integration are Fourier coefficients of periodic
functions. They are provided using fourier_an
and fourier_bn
for trigonometric coefficients or using fourier_cn
for
complex exponentials coefficients.
Some discrete antiderivatives may be obtained using the
sum(variable,expression)
call.
For a limit the syntax is
limit(expression,variable,limitpoint[,direction])
.
For a series expansion
series(expression,variable,limitpoint,order[,direction])
.
giac
implementation of limit
and series
is based
on the mrv algorithm.
The solve(expression,variable)
call is used to find exact
solutions of (polynomial-)like equations. Use newton
instead
for numeric solutions (of a wider range of equations).
Arithmetic operations on matrices and vectors are done using the usual
operators. The scalar product of two vectors is obtained using the *
operator.
Gaussian elimination (Gauss-Bareiss) over a matrix is performed
using rref(m)
. The kernel of a linear application with matrix
m is obtained with ker(m)
. A system of linear equations (written
symbolically in a vector) can be solved via
linsolve([equations],[variables])
.
The determinant of a matrix may be obtained using two algorithms,
either Gauss-Bareiss invoking det(m)
, or by computing minors
det_minor(m)
. Actually, a last method is provided using the
computation of the constant coefficient of the characteristic polynomial
using Fadeev-Leverrier algorithm.
The characteristic polynomial of a matrix may be computed by Fadeev-Leverrier
algorithm calling pcar(m)
. For matrices withe coefficients in
a finite field, pcar_hessenberg(m)
is a better choice (O(n^3)
complexity where n
is the size of the matrix).
Eigenvalues and eigenvectors are computed using respectively egvl(m)
and egv(m)
. The Jordan normal form is obtained invoking
jordan(m)
.
Quadratic forms (written symbolically) can be reduced to sum and differences
of squares using gauss(expression,[variables])
.
There is some support for isometries: mkisom
may be used to
make an isometry from its proper elements as isom(m)
return the
proper elements of an isometry.
Add a figure (Edit menu of the session, Add item, then select geometry and graph 2-d or 3-d). As other objects, you can create geometrical objects anatically using the commandlines at the left. You may also create points, segments, etc. with the mouse (or the stylus) or move a geometrical object depending on the mouse mode (Pointer, point, segment, circle, etc.)
To configure or print a graph, use the menu at the right of the graph.
Add a spreadsheet (Edit menu of the session, Add item, spreadsheet). Cells may have a formal value, or eval to a geometric 2-d object that will be displayed in a dynamically linked 2-d graph.
The xcas and icas program provide an interpreted language that is similar to
popular other CAS programming language. This scripting language is
available in 4 flavours: C-like syntax (default) or compatibility
mode for simple Maple, Mupad or TI programs. We describe only the C-like
syntax. Instructions must end with a semi-column ;
. Groups of
instructions may be combined like in C with brackets.
You can define a program in a commandline, but it is recommended to use a Program Editor (Edit->Add->Program menuitem of the session menubar) if it is larger than a few lines.
Click on the status button and select the programming style.
Alternatively, the command maple_mode(0)
or maple_mode(1)
or
maple_mode(2)
may be used to switch the language flavour
respectively from C-like to Maple-like or Mupad-like mode. Note that this
command takes effect only when the current parser session is finished
which means when the next command is processed in interative mode or at
the end of the current file in batch mode, hence you should not begin a script
file with this command. In batch mode you can achieve the mode switch by
setting the environment variable GIAC_MAPLE_MODE
, for example with
tcsh: setenv GIAC_MAPLE_MODE 1
or with bash export GIAC_MAPLE_MODE=1
will switch to the Maple-like language. Additionnally you can enter
the maple_mode(1)
command in the .xcasrc
of your home directory
to change the default behavior. Or inside xcas
you can run
the Import
command of the File
menu and select the flavour.
The Export
command can be used to translate the current level
of the history inside xcas
to a file, or the View as
command
of the Edit
menu to translate to the Help output window.
The language accept local and global variables, variables are not typed.
Global variables do not need to be declared, local variables must be declared
at the beginning of a function by the keyword local
followed by
the names of the local variables separated by commas ,
with a final
semi-columns ;
The affectation sign is :=
like popular CAS and unlike C.
For large vectors, lists and matrices, you may also use =<
to make
in-place modifications (in other words by reference), but be aware
that all references of the object will be modified.
Other operations (e.g. {+ - * /}) and function calls are done like in C
or like in an interactive session.
As in C, the equality test is ==
. The single equal sign =
is used to return an equation (note that
an equation will be transformed in a test
in some situations where an equation could not be expected).
The other tests are !=
for non equal, < <= > >=
for
real value comparisons. You can combine tests with &&
or and
,
and ||
or or
. The boolean negation is !
or not
.
The loop keywoard is like in C
for (initialization;while_condition;increment){ loop_block }
You can break a loop inside the loop block with break;
.
You can skip immediately to the next iteration with continue;
.
The conditionnal keywoard is like in C
if (condition) { bloc_if_true } [ else { bloc_if_false } ]
Additionnaly, multiple-cases is translated like in C
swith (variable){ case (value_1): ... break; default: ... ; }
Functions are declared and implemeted together like this
function_name(parameters):={ definition }
Parameters are like local variables with an additional initialization from the values of the parameters inside the calling instruction.
return return_value;
should be used to return the value
of the function.
It is not possible to pass arguments by reference, only by value.
If one of these variables GIAC_MAPLE
, GIAC_MUPAD
,
GIAC_C
or GIAC_TI
is defined, the corresponding
syntax mode will be in effect. If XCAS_RPN
is defined,
then xcas will start in RPN mode.
The variable XCAS_ROOT
may be used for a custom xcas installation,
it should point to the directory where xcas is installed. XCAS_LOCALE
should point to the directory where the locales are. XCAS_TMP
may be defined for temporary exchange files between xcas processes,
if not defined it will use the home directory.
The variable PARI_SIZE
may be used to define the memory
available for pari.
The variable BROWSER
may be used for the HTML documentation browser.
The variable LANG
may be used for internationalization.
The variable GIAC_TIME
and GIAC_TEX
may be used
in giac readline interface to ask for timing and tex output.
GIAC_DEBUG
will give some info on the internals used.
In this chapter we will first describe the generic data type of giac,
the gen
class. Then we describe the most important data
types than gen
dispatches to (polynomials, vectors, symbolic
objects and gen unary functions). At this point, the reader should be
able to code using giac
, hence we describe how to integrate
code to giac
by inclusion in the library or as a separate
runtime loadable library (called module). The last item describes
how you can add new mathematical objects, e.g. quaternions,
inside the gen
type.
Giac uses the C++ language because it is easier to write algebraic
operations using usual operators, for example a+b*x
is easier
to understand and modify than add(a,mul(b,x))
, but it does not
require that you learn object oriented programming. In fact it is more
a C library using C++ features that makes programming easier (like the
I/O streams and the Standard Template Library). However you will need
a recent C++ compiler, e.g. gcc
version 2.95 or later.
gen
is the class used to represent mathematical objects
(#include <giac/gen.h>
). It's a C union, made either of “direct”
objects like int
or double
or of pointers to heap allocated objects that are reference counted.
Memory allocation is handled by the class itself (except for
user-defined object types). You can check
the actual type of a variable of type gen
, e.g. gen e;
,
using it's type
field (e.g. if (e.type==...)
). This
type
field of a gen
is an int
.
The gen
might be~:
e.type==_INT_
)
e.type==_DOUBLE_
)
e.type==_ZINT
)
e.type==_CPLX
), a pointer to
two objects of type gen
the real and imaginary parts
e.type==_IDNT
), with a pointer to an
identificateur
type
e.type==_SYMB
), with a pointer to
a symbolic
type
e.type==_VECT
),
with a pointer to a vecteur
type
e.type==_FUNC
),
with a pointer to a unary_function_ptr
type
Some other types are available (e.g. a pointer to gen_user
an object you can derive to make your own class, or arbitrary precision
floating point numbers _REAL
), for a complete
description look at giac/gen.h
(if you have installed giac
the path to the include files is /usr/local/include/giac
unless you
override the default, if you did not install it, the path is the path
to the src
directory of the source code distribution).
If you want to access the underlying type, after checking that the type is correct, you can do the following:
int i=e.val;
double d=e._DOUBLE_val;
mpz_t * m=e._ZINTptr;
gen realpart=*e._CPLXptr,impart=*(e._CPLXptr+1);
identificateur i=*e._IDNTptr;
symbolic s=*e._SYMBptr;
vecteur v=*e._VECTptr;
unary_function_ptr u=*e._FUNCptr
In addition to the main type
, each gen
has a subtype
.
This subtype is used sometimes to select different behaviour, e.g.
adding a constant to a vector might add the constant to all terms for
some geometric objects represented using vectors, only to the term of
the diagonal of a square matrix, or to the last term for dense polynomials.
See giac/dispatch.h
for the description of the subtypes.
Polynomials are available as:
polynome
,
header files are gausspol.h
, poly.h
, monomial.h
poly1
or alias modpoly
used for modular univariate polynomials. The type used is the same
as for vectors and matrices.
Header files are giac/modfactor.h
and giac/modpoly.h
.
A gen
can be a polynomials if it's type
field is
respectively _POLY
(sparse) or _VECT
(dense).
Conversion functions to and from the symbolic representation with
respect to global names are declared in giac/sym2poly.cc/h
.
The type used for vectors and matrices is the same, it's a
std::vector<gen>
(unless you have configured with
--enable-debug
). The header file is giac/vecteur.h
.
A gen
can be a vector if it's type
field is
_VECT
.
Symbolic objects are trees. The sommet
is a unary_function_ptr
(a class pointing to the function). The feuille
is either
an atomic gen
(for a function with one argument) or a composite
(feuille.type==_VECT
) for a function with more than one argument
(these functions appears therefore as a function with one argument which
is the list of all it's arguments).
In the giac library, every function is viewed as a function taking one
argument and returning one argument. Almost every Xcas functions have
a C++ equivalent with the same name preceded by a _.
If a Xcas function has more than one argument, these arguments
are packed in a vector which is the first argument of the C++ function.
Most C++ functions require a second argument, which is
a context pointer. This context pointer
encapsulate all the context (e.g. complex vs real mode, or all the
variables that are assigned or assumed). You can use
giac::context0
as global context pointer or define a context
giac::context ct;
and use &ct
as last argument to the function.
The files usual.cc/.h
give examples of declaration e.g. for
exponential and trigonometric functions. Unary functions have the
following members~:
gen
and a context *
and returning an gen
which does the job
taylor_asin
).
This is always the case if your function is defined at infinity.
Note that this function
is called at initialization so that you can include code in it for
example to add your function to the symbolic preprocessing step of the
limit/series
algorithm.
input_lexer.ll
(see for example "sin"
) or you must register it (see below).
unary_function_eval
is defined, you must construct
a unary_function_ptr
to be able to use it inside symbolics.
When declaring the unary_function_ptr
,
you may give an optional argument to specify a behavior for the evaluation
of arguments (quoting or special parser rules).
In this case, you may give a second optionnal argument
to register your function dynamically in the list of function names
recognized by the lexer. Be sure to link the object file so that
initialization occurs after the initialization of input_lexer.ll
,
it means you must put your object file before input_lexer.o
when linking (see for example the position of moyal.o
in
the Makefile.am
file, moyal
is one example where dynamic registering is done).
You have of course the option to declare the function name
statically in the file input_lexer.ll
but this is not recommended.
Here is one example of a dynamically linkable function named
example
which takes 2 arguments and returns the sum divided
by the product if the argument are integers and return itself otherwise.
The C++ header example.h
code looks like
#ifndef __EXAMPLE_H #define __EXAMPLE_H #include <giac/config.h> #include <giac/gen.h> #include <giac/unary.h> #ifndef NO_NAMESPACE_GIAC namespace giac { #endif // ndef NO_NAMESPACE_GIAC gen example(const gen & a,const gen & b,GIAC_CONTEXT); gen _example(const gen & args,GIAC_CONTEXT); extern const unary_function_ptr * const at_example ; #ifndef NO_NAMESPACE_GIAC } // namespace giac #endif // ndef NO_NAMESPACE_GIAC #endif // __EXAMPLE_H
The C++ source code looks like:
using namespace std; #include "example.h" #include <giac/giac.h> #ifndef NO_NAMESPACE_GIAC namespace giac { #endif // ndef NO_NAMESPACE_GIAC gen example(const gen & a,const gen & b,GIAC_CONTEXT){ if (is_integer(a) && is_integer(b)) return (a+b)/(a*b); return symbolic(at_example,makesequence(a,b)); } gen _example(const gen & args,GIAC_CONTEXT){ if ( (args.type!=_VECT) || (args._VECTptr->size()!=2) ) return gensizeerr(contextptr); // type checking : args must be a vector of size 2 vecteur & v=*args._VECTptr; return example(v[0],v[1],contextptr); } const string _example_s("example"); static define_unary_function_eval (__example,&_example,_example_s); define_unary_function_ptr5( at_example ,alias_at_example,&__example,0,true); #ifndef NO_NAMESPACE_GIAC } #endif // ndef NO_NAMESPACE_GIAC
Compile it with
c++ -g -c example.cc
To test your code, you should write the following test.cc
program
#include "example.h" using namespace std; using namespace giac; int main(){ gen args; context ct; cout << "Enter arguments of example function, for example 2,3 "; cin >> args; cout << "Result: " << _example(args,&ct) << endl; }
Compile it with the command
c++ -g example.o test.cc -lgiac -lgmp
You might need to link to other libraries e.g.
-lreadline -lhistory -lcurses
depedning on your installation.
Then run a.out
. Here you would test e.g. with [1,2]
.
You can debug your program as usual, e.g. with
gdb a.out
, it is recommended to create a .gdbinit
file
in the current directory so that you can use the v
command
to print giac data, the .gdbinit
file should contain :
echo Defining v as print command for giac types\n define v print ($arg0).dbgprint() end
When your function is tested, you can add it to the library. Edit
the file Makefile.am
of the src
subdirectory
of giac
: just add example.cc
before input_lexer.cc
in the libgiac_la_SOURCES
line and add example.h
in the
giacinclude_HEADERS
line.
To rebuild the library go in the giac
directory and type
automake; make
If you want to share your function(s) with other people, you must
license it under the GPL (because it will be linked to GPL-ed code).
Add the GPL header to the files, and send them to the giac
contribution e-mail, currently mailto:parisse@fourier.univ-grenoble-alpes.fr
/* * Copyright (C) 2007 Your name * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 3 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA */
Another way to share your code could be to build a dynamic library
that can be loaded at runtime using facilities of <dlfcns.h>
.
Warning: modules do not work with static binaries. Be sure
to have dynamic binaries (this is the default when you compile giac,
but the packaged xcas
distributed as a binary is build static to
avoid incompatible libraries).
Let us define a function named mydll
in the file mydll.cc
like
this :
#include <giac/config.h> #include <giac/giac.h> #ifndef NO_NAMESPACE_GIAC namespace giac { #endif // ndef NO_NAMESPACE_GIAC const string _mydll_s("mydll"); gen _mydll(const gen & args,GIAC_CONTEXT){ return sin(ln(args,contextptr),contextptr); } unary_function_eval __mydll(0,&giac::_mydll,_mydll_s); unary_function_ptr at_mydll (&__mydll,0,true); // auto-register #ifndef NO_NAMESPACE_GIAC } // namespace giac #endif // ndef NO_NAMESPACE_GIAC
Compile it like this
c++ -fPIC -DPIC -g -c mydll.cc -o mydll.lo cc -shared mydll.lo -lc -Wl,-soname -Wl,libgiac_mydll.so.0 -o libgiac_mydll.so.0.0.0 rm -f libgiac_mydll.so.0 && ln -s libgiac_mydll.so.0.0.0 libgiac_mydll.so.0 rm -f libgiac_mydll.so && ln -s libgiac_mydll.so.0.0.0 libgiac_mydll.so
The library is loadable at runtime in a session using the command
insmod("mydll")
assuming it is stored in a directory available
from LD_LIBRARY_PATH
or in /etc/ld.so.conf
otherwise
you must put a path to the library file (beginning with ./
if
it is in the current directory), something like
insmod("/path_to/libgiac_mydll.so")
A nice way to test your code is to add the following line in your
~/.xcasrc
file :
insmod("path_to_libmydll/libmydll.so");
where you replace path_to_libmydll.so
with the actual path to
libmydll.so
for example /home/joe
if your login name is
joe
and mydll
is in your home directory.
Then if you are using emacs
as editor, put as first line of
the file mydll.cc
// -*- mode:C++ ; compile-command: "g++ -I.. -fPIC -DPIC -g -c mydll.cc -o mydll.lo && ln -sf mydll.lo mydll.o && gcc -shared mydll.lo -lc -Wl,-soname -Wl,libmydll.so.0 -o libmydll.so.0.0.0 && ln -sf libmydll.so.0.0.0 libmydll.so.0 && ln -sf libmydll.so.0.0.0 libmydll.so" -*-
Now you can compile it with Compile
of the menu Tools
and the resulting code is automatically loaded when you launch a new
session with xcas
or cas
which makes testing a breath.
The class gen_user
can be derived so that you can include
your own data inside gen
. Look at the declaration of gen_user
in the file gen.h
and at the example of the quaternions
in the files quater.h
and quater.cc
.
Type the following text with your favorite editor
#include <giac/config.h> #include <giac/giac.h> using namespace std; using namespace giac; int main(){ context ct; gen e("x^2-1",&ct); e=eval(e,1,&ct); cout << _factor(e,&ct) << endl; }
save it e.g. as tryit.cc
and compile it with
c++ -g tryit.cc -lgiac -lgmp
If you get unresolved symbol, then readline
is probably enabled
and you should compile like that
c++ -g tryit.cc -lgiac -lgmp -lreadline -lcurses
You can now run a.out
which will print the factorisation of
x^2-1
.
You can also run the program step by step using gdb. We
recommended that you copy the file .gdbinit
from the src
directory of the giac distribution, because it enables using
v varname
to print the variable varname
of type gen
.
Some explanations of the code:
#include <giac/giac.h>
directive includes all the headers of giac (which includes some STL
headers like string
or vector
).
using namespace
directive are not mandatory, if you don't use them, you need to modify
some of the code, e.g. use std::string
instead of string
or giac::gen
instead of gen
.
gen
can be constructed from strings (using the parser), from some C types
(like int
or double
), from the STL type
std::complex<double>
or from streams (using the parser).
+, -, *
are defined on the gen
type
but the division is not redefined to avoid confusion between integers
(use iquo
) and double C division (use rdiv
). For powers,
use pow
as usual.