partial differential
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CBL Partial Updater 20051104
CBL Partial Updater is an AJAX library for PHP. more>>
CBL Partial Updater is an AJAX library for PHP. Unlike other libraries, all operations are controlled by the server side.
By using the library, an existing PHP script can be converted to an AJAX application in less than a minute.
<<lessBy using the library, an existing PHP script can be converted to an AJAX application in less than a minute.
Download (0.018MB)
Added: 2005-11-08 License: LGPL (GNU Lesser General Public License) Price:
1446 downloads
Systems of Ordinary Differential Equations 13 (RubySode)
Systems of Ordinary Differential Equations RubySode is a Ruby program to generate a Ruby program to solve ordinary equations. more>>
Systems of Ordinary Differential Equations RubySode (Sode.rb) is a Ruby program to generate a Ruby program to solve a single (or a system of) ordinary differential equation(s). A long Taylor series method, pioneered by Prof. Y.F. Chang, who taught at the University of Nebraska in the late 1970s when I was a graduate student there, is used.
The number of Taylor series terms can be specified in the problem file, though it is usually 30.
Enhancements:
- Minir code cleanup. Some tests have been made more meaningful (add, sub, mult, and div).
<<lessThe number of Taylor series terms can be specified in the problem file, though it is usually 30.
Enhancements:
- Minir code cleanup. Some tests have been made more meaningful (add, sub, mult, and div).
Download (0.36MB)
Added: 2007-05-31 License: GPL (GNU General Public License) Price:
877 downloads
Other version of Systems of Ordinary Differential Equations
License:GPL (GNU General Public License)
Modest Ordinary Differential Equation Library 1.0.3
Modest Ordinary Differential Equation Library is a C++ library to model rate equations. more>>
Modest Ordinary Differential Equation Library is a C++ library to model rate equations.
MODEL is a numeric simulation library written during my PhD to simulate systems of rate equations describing Vertical Cavity Surface Emitting Lasers (VCSELs). I decided to write one myself after looking at existing libraries and deciding that they were either too complicated to use (having a target user base of mathematicians) or too opaque (i like to know what the code is doing, exactly).
Since most of my programming before has been done in C/C++, what you see here is a C++ library composed of various interacting classes which have the following main functionalities:
deterministic integration of any system of well-behaved differential equations.
- stochastic integration of these systems, with the possibility of specifying the correlations present in the noise
- nonlinear rootfinder, to find stationary solutions
- eigenvalue determination, for stability analysis
- easy time modulation of input parameters
- diverse data collecting classes for data analysis
- Small signal analysis (first order)
The following will be added RSN:
- Fourier transforms, for spectral analysis (although this can be done in an external program)
- Periodic solution finder
It furthermore provides a numerical vector class, vectorfunction classes, LU solver and random generators.
As I developed it using publicly available resources, GNU/Linux and other GPLed software, I decided that it should be GPL as well. However (Oh no, a "however" ! Lets hope it does not invalidate the copyleft), I would very much appreciate it if you let me know if you have used MODEL in any of your applications/simulations/research and provide a reference (this way, I can refer to your work, too).
At the moment, MODEL has the rather arbitrary version number 1.0. Meaning it is useful. Period. Some interfaces (especially the stochastics) might still change, and I would like to add some ieee floating point exception trapping to avoid silly numerical errors.
Enhancements:
- Add features/limitations/changes here
<<lessMODEL is a numeric simulation library written during my PhD to simulate systems of rate equations describing Vertical Cavity Surface Emitting Lasers (VCSELs). I decided to write one myself after looking at existing libraries and deciding that they were either too complicated to use (having a target user base of mathematicians) or too opaque (i like to know what the code is doing, exactly).
Since most of my programming before has been done in C/C++, what you see here is a C++ library composed of various interacting classes which have the following main functionalities:
deterministic integration of any system of well-behaved differential equations.
- stochastic integration of these systems, with the possibility of specifying the correlations present in the noise
- nonlinear rootfinder, to find stationary solutions
- eigenvalue determination, for stability analysis
- easy time modulation of input parameters
- diverse data collecting classes for data analysis
- Small signal analysis (first order)
The following will be added RSN:
- Fourier transforms, for spectral analysis (although this can be done in an external program)
- Periodic solution finder
It furthermore provides a numerical vector class, vectorfunction classes, LU solver and random generators.
As I developed it using publicly available resources, GNU/Linux and other GPLed software, I decided that it should be GPL as well. However (Oh no, a "however" ! Lets hope it does not invalidate the copyleft), I would very much appreciate it if you let me know if you have used MODEL in any of your applications/simulations/research and provide a reference (this way, I can refer to your work, too).
At the moment, MODEL has the rather arbitrary version number 1.0. Meaning it is useful. Period. Some interfaces (especially the stochastics) might still change, and I would like to add some ieee floating point exception trapping to avoid silly numerical errors.
Enhancements:
- Add features/limitations/changes here
Download (2.5MB)
Added: 2006-09-12 License: GPL (GNU General Public License) Price:
1140 downloads
Python Stencil Environment 0.3.1
Python Stencil Environment, is a new python library for solving Partial Differential Equations with the Finite Difference Method more>>
Python Stencil Environment also know as PySE is a new python library for solving Partial Differential Equations with the Finite Difference Method (FDM).
This is still a quite new library, and the current release must be considered as beta software. It is quite rough around the edges, installation is manual and some minor dependencies are even missing in the released software. But as PySE already is functional, I have chosen to release the software.
PySE will be a component of PyFDM, a more complete package for working with finite difference methods in python. The functionality of PyFDM is not planned at the moment.
The requirements for PySE are: Python 2.4, numarray 1.3 or newer, Numeric 23.8 or newer, swig 1.3.24 or newer, and pypar 1.9.2. Older verions may or may not work!
Enhancements:
- Added a pdf with some documentation, examples and performance evaluation of PySE.
<<lessThis is still a quite new library, and the current release must be considered as beta software. It is quite rough around the edges, installation is manual and some minor dependencies are even missing in the released software. But as PySE already is functional, I have chosen to release the software.
PySE will be a component of PyFDM, a more complete package for working with finite difference methods in python. The functionality of PyFDM is not planned at the moment.
The requirements for PySE are: Python 2.4, numarray 1.3 or newer, Numeric 23.8 or newer, swig 1.3.24 or newer, and pypar 1.9.2. Older verions may or may not work!
Enhancements:
- Added a pdf with some documentation, examples and performance evaluation of PySE.
Download (0.092MB)
Added: 2005-11-16 License: GPL (GNU General Public License) Price:
1439 downloads
Pizza Business 1.0-beta9
Pizza Business project is a game in which you can create your own pizza business. more>>
Pizza Business project is a game in which you can create your own pizza business.
Pizza Business is a platform-independent restaurant simulation game written in object-oriented C++. It utilizes the WxWindows library.
Enhancements:
- Corrected date errors in this Changelog file (it said "2002" instead of "2003" on recent releases) -tsarkon
- Save/Load feature has been buggy. This have been fixed in this version. -ares32585
- The binary file has been moved to the bin directory (Makefile controlled) -tsarkon
- Partial implementation of Linux UI installation script -tsarkon
<<lessPizza Business is a platform-independent restaurant simulation game written in object-oriented C++. It utilizes the WxWindows library.
Enhancements:
- Corrected date errors in this Changelog file (it said "2002" instead of "2003" on recent releases) -tsarkon
- Save/Load feature has been buggy. This have been fixed in this version. -ares32585
- The binary file has been moved to the bin directory (Makefile controlled) -tsarkon
- Partial implementation of Linux UI installation script -tsarkon
Download (1.6MB)
Added: 2006-11-06 License: GPL (GNU General Public License) Price:
1093 downloads
Sub::DeferredPartial 0.01
Sub::DeferredPartial is a deferred evaluation / partial application. more>>
Sub::DeferredPartial is a deferred evaluation / partial application.
SYNOPSIS
use Sub::DeferredPartial def;
$S = def sub : P1 P2 P3 { %_=@_; join , @_{qw(P1 P2 P3)} };
print $S->( P1 => 1, P2 => 2, P3 => 3 )->(); # 123
$A = $S->( P3 => 1 ); # partial application
$B = $S->( P3 => 2 );
$C = $A + $B; # deferred evaluation
$D = $C->( P2 => 3 );
$E = $D->( P1 => 4 );
print $E->(); # force evaluation: 863
$F = $E - $D;
$G = $F->( P1 => 0 ) / 2;
print $G->(); # 400
print $G; # ( ( CODE(0x15e3818): P1 => 4, P2 => 3, P3 => 1 + CODE ...
$F->(); # Error: Free parameter : P1
$A->( P3 => 7 ); # Error: Bound parameter: P3
$A->( P4 => 7 ); # Error: Wrong parameter: P4
An instance of this class behaves like a sub (or, more precisely: subroutine reference), but it supports partial application and the evaluation of operators applied to such function objects is deferred too.
That means, evaluation has to be forced explicitly (which makes it easier to add introspection capabilities).
Objects that represent deferred (delayed, suspended) expressions are known as suspensions or thunks in various programming circles. Dont confuse with the same terms in the context of threads!
<<lessSYNOPSIS
use Sub::DeferredPartial def;
$S = def sub : P1 P2 P3 { %_=@_; join , @_{qw(P1 P2 P3)} };
print $S->( P1 => 1, P2 => 2, P3 => 3 )->(); # 123
$A = $S->( P3 => 1 ); # partial application
$B = $S->( P3 => 2 );
$C = $A + $B; # deferred evaluation
$D = $C->( P2 => 3 );
$E = $D->( P1 => 4 );
print $E->(); # force evaluation: 863
$F = $E - $D;
$G = $F->( P1 => 0 ) / 2;
print $G->(); # 400
print $G; # ( ( CODE(0x15e3818): P1 => 4, P2 => 3, P3 => 1 + CODE ...
$F->(); # Error: Free parameter : P1
$A->( P3 => 7 ); # Error: Bound parameter: P3
$A->( P4 => 7 ); # Error: Wrong parameter: P4
An instance of this class behaves like a sub (or, more precisely: subroutine reference), but it supports partial application and the evaluation of operators applied to such function objects is deferred too.
That means, evaluation has to be forced explicitly (which makes it easier to add introspection capabilities).
Objects that represent deferred (delayed, suspended) expressions are known as suspensions or thunks in various programming circles. Dont confuse with the same terms in the context of threads!
Download (0.005MB)
Added: 2007-05-03 License: Perl Artistic License Price:
904 downloads
Aeris
Aeris is a nice, light maccy theme for KDE. more>>
Aeris is a nice, light maccy theme for KDE. Enjoy this, and please comment any suggestions you have.
Overall design, QtCurve theme, color scheme, (partial) Emerald theme: SaikoBee
Design suggestions, The freakin sweet buttons for the Emerald theme: Pox "Insane Vector Man"
Special thanks: Snicket, for coming up with the name for this theme!
<<lessOverall design, QtCurve theme, color scheme, (partial) Emerald theme: SaikoBee
Design suggestions, The freakin sweet buttons for the Emerald theme: Pox "Insane Vector Man"
Special thanks: Snicket, for coming up with the name for this theme!
Download (0.14MB)
Added: 2007-04-13 License: GPL (GNU General Public License) Price:
928 downloads
Mail::Message::Head::Partial 2.065
Mail::Message::Head::Partial is a subset of header information of a message. more>>
Mail::Message::Head::Partial is a subset of header information of a message.
INHERITANCE
Mail::Message::Head::Partial
is a Mail::Message::Head::Complete
is a Mail::Message::Head
is a Mail::Reporter
SYNOPSIS
my $partial = $head->strip;
$partial->isa(Mail::Message::Head) # true
$partial->isDelayed # false
$partial->isPartial # true
$partial->removeFields( qr/^X-/ );
$partial->removeFieldsExcept( qw/To From/ );
$partial->removeResentGroups;
$partial->removeListGroup;
$partial->removeSpamGroups;
Header information consumes a considerable amount of memory. Most of this information is only useful during a short period of time in your program, or sometimes it is not used at all. You then can decide to remove most of the header information. However, be warned that it will be lost permanently: the header (and therefore the messsage) gets mutulated!
<<lessINHERITANCE
Mail::Message::Head::Partial
is a Mail::Message::Head::Complete
is a Mail::Message::Head
is a Mail::Reporter
SYNOPSIS
my $partial = $head->strip;
$partial->isa(Mail::Message::Head) # true
$partial->isDelayed # false
$partial->isPartial # true
$partial->removeFields( qr/^X-/ );
$partial->removeFieldsExcept( qw/To From/ );
$partial->removeResentGroups;
$partial->removeListGroup;
$partial->removeSpamGroups;
Header information consumes a considerable amount of memory. Most of this information is only useful during a short period of time in your program, or sometimes it is not used at all. You then can decide to remove most of the header information. However, be warned that it will be lost permanently: the header (and therefore the messsage) gets mutulated!
Download (0.58MB)
Added: 2006-06-28 License: Perl Artistic License Price:
1213 downloads
RISO Jellyfish
RISO provides an implementation of distributed, heterogeneous belief networks. more>>
RISO provides an implementation of distributed, heterogeneous belief networks.
RISO is an implementation of heterogeneous, distributed belief networks in Java. A belief network is a probability model defined on an acyclic directed graph; distributed means nodes can be on different hosts, and heterogeneous means allowing different conditional distributions.
The calculations involved are multidimensional integrations; exact results are known for a catalog of special cases. If a partial result cannot be calculated as a special case from the catalog, RISO computes an approximate result by numerical integration.
Partial results are passed from one node in the graph to another as messages; if nodes live on different hosts, the belief network is said to be distributed. Messages are passed via RMI. Many example belief networks and lengthy documents are included in the RISO release bundle.
Enhancements:
- The "Jellyfish" release of RISO contains minor bug fixes and some functional enhancements.
- There is a Python module riso_binding.py which can import RISO belief networks into Jython (Python implemented in Java).
- Jython is a more flexible and elegant user interface than riso/apps/RemoteQuery.java.
- The compile.sh script uses JavaDeps to generate a makefile (javac wasnt capable of resolving all the cross dependencies). Youll need JavaDeps only if you want to do a clean recompile; recompiling one file at a time with javac (given all the other class files present) has always succeeded so far.
- There are now Poisson, exponential, and binomial distributions.
- There is initial support for the notion of considering a belief network as a multidimensional distribution. See riso/distributions/Factorized.java.
- There is an initial version of a Gibbs sampler algorithm. See riso/apps/GibbsSampler.java.
<<lessRISO is an implementation of heterogeneous, distributed belief networks in Java. A belief network is a probability model defined on an acyclic directed graph; distributed means nodes can be on different hosts, and heterogeneous means allowing different conditional distributions.
The calculations involved are multidimensional integrations; exact results are known for a catalog of special cases. If a partial result cannot be calculated as a special case from the catalog, RISO computes an approximate result by numerical integration.
Partial results are passed from one node in the graph to another as messages; if nodes live on different hosts, the belief network is said to be distributed. Messages are passed via RMI. Many example belief networks and lengthy documents are included in the RISO release bundle.
Enhancements:
- The "Jellyfish" release of RISO contains minor bug fixes and some functional enhancements.
- There is a Python module riso_binding.py which can import RISO belief networks into Jython (Python implemented in Java).
- Jython is a more flexible and elegant user interface than riso/apps/RemoteQuery.java.
- The compile.sh script uses JavaDeps to generate a makefile (javac wasnt capable of resolving all the cross dependencies). Youll need JavaDeps only if you want to do a clean recompile; recompiling one file at a time with javac (given all the other class files present) has always succeeded so far.
- There are now Poisson, exponential, and binomial distributions.
- There is initial support for the notion of considering a belief network as a multidimensional distribution. See riso/distributions/Factorized.java.
- There is an initial version of a Gibbs sampler algorithm. See riso/apps/GibbsSampler.java.
Download (0.59MB)
Added: 2007-04-18 License: GPL (GNU General Public License) Price:
919 downloads
Pstdelta 060315
Pstdelta was created in order to vastly reduce the size of differential backups of .pst files. more>>
Pstdelta project has been created in order to vastly reduce the size of differential backups of .pst files.
Administrators of Windows networks running Outlook will often find their networks clogged with Outlook pst files. These files are often around 1GB in size.
Since these files change every day the nightly backup will have to save them every day. This means that space has to be made for 1GB per user per day.
Pstdelta can be used to store the differences between an old and new version of a pst file. It can then generate the new file using just the old file and the output generated by pstdelta.
NOTE: this program has been stable for me for a while. However, running verify after making a delta file is probably a good idea.
Enhancements:
- This release fixes a bug that caused verification failure in specific situations.
- It adds a nightly script to help facilitate the use of pstdelta in differential backups.
<<lessAdministrators of Windows networks running Outlook will often find their networks clogged with Outlook pst files. These files are often around 1GB in size.
Since these files change every day the nightly backup will have to save them every day. This means that space has to be made for 1GB per user per day.
Pstdelta can be used to store the differences between an old and new version of a pst file. It can then generate the new file using just the old file and the output generated by pstdelta.
NOTE: this program has been stable for me for a while. However, running verify after making a delta file is probably a good idea.
Enhancements:
- This release fixes a bug that caused verification failure in specific situations.
- It adds a nightly script to help facilitate the use of pstdelta in differential backups.
Download (0.012MB)
Added: 2006-03-16 License: GPL (GNU General Public License) Price:
1317 downloads
ScatterChat 1.0.1
ScatterChat is a HACKTIVIST WEAPON designed to allow non-technical human rights activists and political dissidents. more>>
ScatterChat is a HACKTIVIST WEAPON designed to allow non-technical human rights activists and political dissidents to communicate securely and anonymously while operating in hostile territory. ScatterChat is also useful in corporate settings, or in other situations where privacy is desired.
It is a secure instant messaging client (based upon the Gaim software) that provides end-to-end encryption, integrated onion-routing with Tor, secure file transfers, and easy-to-read documentation.
Its security features include resiliency against partial compromise through perfect forward secrecy, immunity from replay attacks, and limited resistance to traffic analysis... all reinforced through a pro-actively secure design.
<<lessIt is a secure instant messaging client (based upon the Gaim software) that provides end-to-end encryption, integrated onion-routing with Tor, secure file transfers, and easy-to-read documentation.
Its security features include resiliency against partial compromise through perfect forward secrecy, immunity from replay attacks, and limited resistance to traffic analysis... all reinforced through a pro-actively secure design.
Download (5.8MB)
Added: 2006-07-25 License: GPL (GNU General Public License) Price:
1195 downloads
Listen 0.5
Listen is a pyGTK client for the XMMS2 music daemon frontend. more>>
Listen is a pyGTK client for the XMMS2 music daemon frontend.
Main features:
- Playlist editor with support repeat, shuffle, sort
- Search in entire media library
- Some utilitie to view information about artist or album provided by wikipedia
- View lyrics fo a song
- A customisable OSD (thanks to project Quodlibet)
- Automatic download cover
- Partial IPOD support (read and play only)
- Drag and drop support :
- From the library to current playlist or saved playlist
- From the playlist to a saved playlist
- From Nautilus to the playlist
- From library or playlist to the Nautilus
- From library or playlist to other GNOME applications
- Export playlist
<<lessMain features:
- Playlist editor with support repeat, shuffle, sort
- Search in entire media library
- Some utilitie to view information about artist or album provided by wikipedia
- View lyrics fo a song
- A customisable OSD (thanks to project Quodlibet)
- Automatic download cover
- Partial IPOD support (read and play only)
- Drag and drop support :
- From the library to current playlist or saved playlist
- From the playlist to a saved playlist
- From Nautilus to the playlist
- From library or playlist to the Nautilus
- From library or playlist to other GNOME applications
- Export playlist
Download (0.52MB)
Added: 2007-02-13 License: GPL (GNU General Public License) Price:
1015 downloads
PHAML 1.1.0
PHAMLs primary initial goal of the PHAML project was to produce a parallel version of MGGHAT. more>>
PHAMLs primary initial goal of the PHAML project was to produce a parallel version of MGGHAT. This has subsequently been extended to include additional capabilities. The target architecture is distributed memory multiprocessors, such as Beowolf-type PC clusters.
MGGHAT is a sequential program for the solution of 2D elliptic partial differential equations using low or high order finite elements, adaptive mesh refinement based on newest node bisection of triangles, and multigrid. All aspects of the method are based on the hierarchical basis functions.
Adaptive refinement, multigrid and parallel computing have each been shown to be effective means of vastly reducing the time required to solve differential equations. However, effectively combining all three techniques is not easy and is the subject of current research. PHAML is an attempt to solve this problem.
Enhancements:
- Native conjugate gradients and GMRES solvers were added, along with support for DRUM and ZOLTAN_FILE in partition methods. -
- The tests have been modified to run in parallel, and assorted bugs have been fixed.
<<lessMGGHAT is a sequential program for the solution of 2D elliptic partial differential equations using low or high order finite elements, adaptive mesh refinement based on newest node bisection of triangles, and multigrid. All aspects of the method are based on the hierarchical basis functions.
Adaptive refinement, multigrid and parallel computing have each been shown to be effective means of vastly reducing the time required to solve differential equations. However, effectively combining all three techniques is not easy and is the subject of current research. PHAML is an attempt to solve this problem.
Enhancements:
- Native conjugate gradients and GMRES solvers were added, along with support for DRUM and ZOLTAN_FILE in partition methods. -
- The tests have been modified to run in parallel, and assorted bugs have been fixed.
Download (4.0MB)
Added: 2007-08-10 License: Public Domain Price:
805 downloads
Math Objects 0.1.3
Math Objects is a math template library for C++ using generic programming techniques. more>>
Math Objects is a math template library written in C++ using generic programming techniques. In order to use the "Math Objects" library, the user only has to include the header files he needs (e.g. Matrix.h, Polynomial.h etc.).
In order to compile the library the user needs an ISO/IEC 14882:1998 standard compliant C++ compiler (e.g. one that supports partial template specializations).
The math library has math objects like matrices, polynomials, rational functions, extended precision numbers, complex numbers etc. that can be handled in a similar way like basic numerical types (e.g. integers or floating point numbers).
One can access properties of a mathematical type through a (partial) specialization of a traits class for that type (AlgebraicTraits). Having the traits classes to expose properties of mathematical objects, one can define for example matrices of polynomials having extended precision complex coefficients and apply to them basic linear algebra algorithms using normal C++ syntax.
This library also implements two functions using two deterministic algorithms that compute the Smith form for polynomial matrices, and the Smith-McMillan form of a transfer functions matrix also keeping track of the transformation matrices.
These algorithms can be used to describe a MIMO (multi input-multi output) system by means of its zeros and poles and also give the MFD (matrix fraction description) of the system.
Enhancements:
- Recoded the LongInt class aiming for better runtime efficiency.
<<lessIn order to compile the library the user needs an ISO/IEC 14882:1998 standard compliant C++ compiler (e.g. one that supports partial template specializations).
The math library has math objects like matrices, polynomials, rational functions, extended precision numbers, complex numbers etc. that can be handled in a similar way like basic numerical types (e.g. integers or floating point numbers).
One can access properties of a mathematical type through a (partial) specialization of a traits class for that type (AlgebraicTraits). Having the traits classes to expose properties of mathematical objects, one can define for example matrices of polynomials having extended precision complex coefficients and apply to them basic linear algebra algorithms using normal C++ syntax.
This library also implements two functions using two deterministic algorithms that compute the Smith form for polynomial matrices, and the Smith-McMillan form of a transfer functions matrix also keeping track of the transformation matrices.
These algorithms can be used to describe a MIMO (multi input-multi output) system by means of its zeros and poles and also give the MFD (matrix fraction description) of the system.
Enhancements:
- Recoded the LongInt class aiming for better runtime efficiency.
Download (0.28MB)
Added: 2006-02-21 License: GPL (GNU General Public License) Price:
1343 downloads
Somatic 1.6
Somatic is a generic 3D puzzle solver for soma and pentomino-like puzzles. more>>
Somatic project is a generic 3D puzzle solver for soma and pentomino-like puzzles.
Somatic is a generic 3D puzzle solver for soma and pentomino-like puzzles. For an arbitrary set of pieces and a figure with not more than 64 cubes, it can check whether this figure can be built using these pieces and return one or more solutions.
It can also solve split figures that are not connected and partial figures, which do not need all pieces to be built.
Piece sets that can be solved include but are not limited to the soma cube, the somaplus set, the doublesoma set, the bedlam cube, and the pentomino set.
<<lessSomatic is a generic 3D puzzle solver for soma and pentomino-like puzzles. For an arbitrary set of pieces and a figure with not more than 64 cubes, it can check whether this figure can be built using these pieces and return one or more solutions.
It can also solve split figures that are not connected and partial figures, which do not need all pieces to be built.
Piece sets that can be solved include but are not limited to the soma cube, the somaplus set, the doublesoma set, the bedlam cube, and the pentomino set.
Download (0.060MB)
Added: 2007-01-02 License: GPL (GNU General Public License) Price:
1028 downloads
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