Free encryption programs macintosh software for linux

Gaim-Encryption uses NSS to provide transparent RSA encryption as a Gaim plugin.
Main features:
- Automatically creates a public/private key pair for you upon loading the plugin
- Automatically transmits your public key to other users.
- Supports 512 - 4096 bit keys.
- Saves keys of known users, and warns you if their public key has changed.
- Embeds all encryption and keys inside HTML, so if the other user doesnt have the plugin, they will get a little message telling them about the plugin, and wont get a screen full of garbage.
- Stores keys in human readable files in your .gaim directory, in case you ever need to copy/edit them by hand. Which you really shouldnt have to do.
- Automatically recognizes if you are chatting with someone who has the plugin- see the Preferences dialog.
- Available for the Windows version of Gaim.
- Modular and extensible. If you want to define a different type of encryption, you can use this plugin as a wrapper to take care of transporting the encrypted binary over the IM pipe.

CryptoMX Tools is a set of encryption, steganography, cipher, hashing and conversion tools designed to work on any operating system with any Javascript-capable browser.
Enhancements:
- Added SHA-256 Algorithm.
- Used COPYING, README, AUTHORS, and ChangeLog Files.
- Removed a bit of useless code.
- Decreased Filesize.
- Misc. Fixes.

Programs Bar is a programs launcher bar theme for SuperKaramba.

Was tested on Mandriva 2006 and Fedora Core 5.

Eureka Encryption SDK Shared Library allows you to use Eureka Encryption in your own applications. Encrypt or decrypt strings or files.

Eureka Encryption shared Library installation instructions:

Start a terminal session and navigate to the folder where the files are located and enter the following commands:

chmod +x eursdk.so (this may be optional)

cp eursdk.so /usr/lib

ldconfig /usr/lib

The library is now ready for use. Load up the sdkhelp.htm file with any web browser for detailed information on its use.

Should anyone wish to translate the help files in other languages and send them to me, I would be happy to include them and repackage the tarball.

Eureka Encryption Global Edition contains file encryption, multiple encryption, merge encryption, multiple file encryption, embedded applications (Crypt Words, Steganographer, Interface) and other tools such as a file shredder and scrambler.

Eureka Encryption Global Edition is available for Windows, Mac and Linux. Other applications are available from the website.

Early Macintosh Image LoadEr allows to boot linux-m68k from a floppy on a macintosh such as MacII or Quadra 610.
With it, you can create rescue disk, or remove the MacOS partition (needed by the legacy penguin booter) from your HD.
Create a floppy from rescue disk image
You can find floppy image from the package emile-rescue
Under linux, the command to dump image to floppy is:
# dd if=emile-rescue-x.y.bin of=/dev/fd0 bs=512 conv=sync
then, you can eject floppy with:
# eject /dev/fd0
If you are using MacOS, use MakeDebianFloppy AppleScript (you must use a floppy image with a size of exactly 1474560 bytes).
Enhancements:
- This release has improved SCSI support, allows you to create a bootable CD-ROM, adds Debian packaging, updates the PowerPC part (currently not usable), and introduces apple_driver (currently not usable).

Solving Constraint Integer Programs is a framework for constraint integer programming. For solving Integer Programs and Constraint Programs, a very similar technique is used: the problem is successively divided into smaller subproblems (branching) that are solved recursively.
On the other hand, Integer Programming and Constraint Programming have different strengths: Integer Programming uses LP relaxations and cutting planes to provide strong dual bounds, while Constraint Programming can handle arbitrary (non-linear) constraints and uses propagation to tighten the variables domains.
SCIP is a framework for Constraint Integer Programming oriented towards the needs of Mathematical Programming experts who want to have total control of the solution process and access detailed information down to the guts of the solver. SCIP can also be used as pure MIP solver or as framework for branch-cut-and-price.
Main features:
- It is a framework for branching, cutting, pricing, and propagation.
- It is highly flexible through many possible user plugins:
- constraint handlers to implement arbitrary constraints,
- variable pricers to dynamically create problem variables,
- domain propagators to apply constraint independent propagations on the variables domains,
- cut separators to apply cutting planes on the LP relaxation,
- relaxators to provide relaxations and dual bounds in addition to the LP relaxation,
- primal heuristics to search for feasible solutions with specific support for probing and diving,
- node selectors to guide the search,
- branching rules to split the problem into subproblems,
- presolvers to simplify the solved problem,
- file readers to parse different input file formats,
- event handlers to be informed on specific events, e.g., when a node was solved, a specific variable changed its bounds, or a new primal solution was found,
- display handlers to create additional columns in the solvers output.
- dialog handlers to extend the included command shell.
- Every existing unit is implemented as a plugin, leading to an interface flexible enough to meet the needs of most additional user extensions.
- A dynamic cut pool management is included.
- The user may mix preprocessed and active problem variables in expressions: they are automatically transformed to corresponding active problem variables.
- Arbitrarily many children per node can be created, and the different children can be arbitrarily defined.
- It has an open LP solver support (currently supporting ILOG CPLEX, Dash XPress-MP, SoPlex, and CLP.
- The LP relaxation need not to be solved at every single node (it can even be turned off completely, mimicing a pure constraint solver).
- Additional relaxations (e.g., semidefinite relaxations or Lagrangian relaxations) can be included, working in parallel or interleaved.
- Conflict analysis can be applied to learn from infeasible subproblems.
- Dynamic memory management reduces the number of operation system calls with automatic memory leakage detection in debug mode.
Enhancements:
- The new heuristics "RENS", "mutation", "veclendiving", and "intshifting", were included.
- The existing ones were improved.
- Presolving and c-MIR cut generation were improved.
- A few bugs were fixed.