Free adaptive software for linux

Liquid Bytes Adaptive Website Framework (AWF) is aimed at software developers and webmasters. Adaptive Website Framework helps you to create dynamical personalized Web sites with community functions, database powered content management, and an administration interface.
AWF includes advanced features like exporting to static HTML, caching, and URL rewriting.
The new AWF 2 introduces many new features like version management and fully flexible URLs. It is currently available as Beta version and requires PHP 5.
Main features:
- Completely dynamical and personalized page creation
- User/group-management
- Built-in Content Management
- Messaging/communiy modules
- Content can be edited without knowledge of HTML/XML
- Supports nearly unlimited languages, documents and users
- Access protection of single pages or site sections possible
- Effective caching, which means more performance and less server load
- Easy to use API functions
- Export options for documents
- Possible to integrate in Unix shell scripts
- Package Installer allows you to easily add new features and share your own extensions with other AWF users
Requierments:
- Apache Web-Server with PHP >= 4.3.0 installed (AWF version 1.04 works with 4.1.0).
- DOM XML support for PHP (optional)
- MySQL server (tested using 3.22.32 and 3.23.36)
AWF was successfully tested with all major browsers (Microsoft Internet Explorer, Mozilla, Netscape Navigator, Opera and Konqueror), as only HTML is used for the core funktions.
Adaptive Website Framework is Free Software. You can use and redistribute it under the terms of the GNU General Public License, as published by the Free Software Foundation.
Enhancements:
- This release features rendering of LaTeX code, a new plugin system for content objects, improved multi-language support, better SEO, a Web shop (alpha version), and new templates.
- The Spaw WYSIWYG editor was removed for security reasons.

Adaptive Quality of Service Architecture (AQuoSA) is an open architecture for the provisioning of adaptive Quality of Service functionality into the Linux kernel. The project features a flexible, portable, lightweight and open architecture for supporting soft real-time applications with facilities related to timing guarantees and QoS, on the top of a general-purpose operating system as Linux.
At the core of the architecture there is an adaptive resource reservation layer that is capable of dynamically adapting the CPU allocation for QoS aware applications based on their run-time requirements.
Timing guarantees are provided through an in-kernel reservation based process scheduler, whose services are exposed to applications through a well-designed API.
A supervisor performs admission control, so that admitting into the system new applications with timing guarantees does not affect the timing guarantees of already admitted applications. Also, it takes care of guaranteeing appropriate security policies in the assignment of timing guarantees to users and user groups, as configured by the system administrator.
A feedback-based QoS control layer may be optionally used by applications who want to keep their timing guarantees by using a CPU allocation that is continuously adapted according to their actual needs. This leaverages the programmer, within certain limits, to hard-code any particular reservation amount within the application, because the best allocation is found out automatically at run-time. Also, this enhances the possibilities for the system to host additional QoS controlled applications. The available control algorithms are well founded on formal scheduling models and control theoretical results.
Enhancements:
- This release introduces a couple of flags useful when creating servers. If QOS_F_PERSISTENT is enabled, a server is allowed to exist beyond detach of the last task. If QOS_F_SOFT is enabled, a server tasks are scheduled by the Linux default scheduler/policy, when outside of the server reservation.
- Also, various stability issues in destroying servers have been fixed, also thanks to a new release of the generic scheduler patch for the Linux kernel (gs-2.2).

AdaptWeb project is an adaptive learning system.
AdaptWeb provides an adaptive learning system associated to a course and to a particular student profile.
Different learning procedures are offered as guided navigation, hierarchical content presentations, and deterministic presentations.
Enhancements:
- This release includes all the bug identified until and including the I AdaptWeb Seminar.

VidTorrent is a protocol for global scale cooperative real-time streaming over the Internet. At a high level, VidTorrent is a peer-to-peer protocol that builds an adaptive overlay mesh suitable for real-time streaming.

The protocol works by aggressively probing for bandwidth and minimizing latency. On the same time, the protocol continuously monitors and dynamically adapts the mesh to match the underlaying network topology and node capabilities.

VidTorrent is more than just a protocol from an end users perspective. VidTorrentLive provides application infrastructre for fostering communities around real-time media, similar to what BitTorrent? does for the file sharing community and Skype for internet telephony users all over the world.

In one such application, XPat-TV, we are experimenting with forming social groups within expatriate communities. These groups are created by VidTorrent co-casters, sharing live TV broadcasts from their home country.

Mantissa is a collection of various mathematical tools aimed towards for simulation.
Mantissa contains a collection of algorithms, among which:
a small set of linear algebra classes
a least squares estimator
some curve fitting classes
several ordinary differentials equations integrators, either with fixed steps or adaptive stepsize control (see below)
vectors and rotations in a three dimensional space
algebra-related classes like rational and double polynomials
various orthogonal polynomials:
Chebyshev
Hermite
Laguerre
Legendre
some random numbers and vectors generation classes:
Robert M. Ziff four tap shift register (contributed by Bill Maier)
Makoto Matsumoto and Takuji Nishimura Mersenne twister
generators for vectors with correlated components
some basic (min, max, mean, standard deviation) statistical analysis classes
some optimization algorithms using direct search methods:
the Nelder-Mead simplex method
Virginia Torczons multi-directional method
Enhancements:
- For many basic objects provided by Mantissa like Vector3D, Rotation, and the various Polynomial classes, instances are now guaranteed to be immutable.
- This greatly simplifies safe sharing of instances without forcing users to either put severe restrictions on their use of Mantissa classes or make numerous copies just to make sure everything is safe.
- Since the change is a semantic change on the contract of the classes, this version introduces some incompatibilities with respect to previous ones.
- Upgrading to this version is not difficult, though.

Aviascene project is a virtual environment for exploring distant locales.
Aviascene is a virtual environment for remote exploration. Users can download actual earth topography and surface data from USGS, then go exploring.
If they get lost, they can launch an aircraft to reconnoiter. It features a high- performance adaptive OpenGL terrain renderer, airplane and wheeled vehicle physics models, and the ability to mark waypoints at GPS coordinates.
It can be used to plan a backpacking trip or just as a flight simulator.
Main features:
- First person perspective. Other renderers present the terrain like a map. Aviascene brings you there.
- Scalable adaptive rendering. Aviascene renders nearby terrain more precisely than faraway terrain, allowing Aviascene to realistically render huge areas. Aviascene has been tested to render terrain sets as large as 400 MB in real time on a low-cost 1.2 GHz laptop PC.
- Expedition planning. The combination of vehicle and flight models is ideal for planning hiking or backpacking excursions. The vehicle model gives you a ground-level view that helps you familiarize yourself with terrain features before you set out. The flight model helps identify specific features and helps visualize the overall environment.

ParaView project is an application designed with the need to visualize large data sets in mind. The goals of the ParaView project include the following:
- Develop an open-source, multi-platform visualization application.
- Support distributed computation models to process large data sets.
- Create an open, flexible, and intuitive user interface.
- Develop an extensible architecture based on open standards.
ParaView runs on distributed and shared memory parallel as well as single processor systems and has been succesfully tested on Windows, Linux and various Unix workstations and clusters. Under the hood, ParaView uses the Visualization Toolkit as the data processing and rendering engine and has a user interface written using a unique blend of Tcl/Tk and C++. Please go here for a detailed list of features.
ParaView was created by Kitware in conjunction with Jim Ahrens of the Advanced Computing Laboratory at Los Alamos National Laboratory (LANL). Contributors and developers of ParaView currently include: Kitware, LANL, Sandia National Laboratories, and Army Research Laboratory. ParaView is funded by the US Department of Energy ASCI Views program as part of a three-year contract awarded to Kitware, Inc. by a consortium of three National Labs - Los Alamos, Sandia, and Livermore. The goal of the project is to develop scalable parallel processing tools with an emphasis on distributed memory implementations. The project includes parallel algorithms, infrastructure, I/O, support, and display devices. One significant feature of the contract is that all software developed is to be delivered open source. Hence ParaView is available as an open-source system.
Main features:
- Handles structured (uniform rectilinear, non-uniform rectilinear, and curvilinear grids), unstructured, polygonal and image data.
- All processing operations (filters) produce datasets. This allows the user to either further process or save as a data file the result of every operation. For example, the user can extract a cut surface, reduce the number of points on this surface by masking, and apply glyphs (for example, vector arrows) to the result.
- Contours and isosurfaces can be extracted from all data types using scalars or vector components. The results can be colored by any other variable or processed further. When possible, structured data contours/isosurfaces are extracted with fast and efficient algorithms which make use of the special data layout.
- Vectors fields can be inspected by applying glyphs (arrows, cones, lines, spheres, and various 2D glyphs) to the points in a dataset. The glyphs can be scaled by scalars, vector component or vector magnitude and can be oriented using a vector field.
- A sub-region of a dataset can be extracted by cutting or clipping with an arbitrary plane (all data types), specifying a threshold criteria to exclude cells (all data types) and/or specifying a VOI (volume of interest - structured data types only)
- Streamlines can be generated using constant step or adaptive integrators. The results can be displayed as points, lines, tubes, ribbons, etc., and can be processed by a multitude of filters.
- The points in a dataset can be warped (displaced) with scalars (given a user defined displacement vector) or with vectors (unavailable for non-linear rectilinear grids).
- With the array calculator, new variables can be computed using existing point or cell field arrays. A multitude of scalar and vector operations are supported.
- Data can be probed at a point or along a line. The results are displayed either graphically or as text and can be exported for further analysis.
- ParaView provides many other data sources and filters by default (edge extraction, surface extraction, reflection, decimation, extrusion, smoothing...) and any VTK filter can be added by providing a simple XML description (VTK provides hundreds of sources and filters, see VTK documentation for a complete list).
Enhancements:
- This release adds parallel uniform rectilinear grid volume rendering (vtkImageData).
- It introduces new algorithms for parallel unstructured grid volume rendering.
- Support for hardware accelerated offscreen rendering using OpenGL framebuffers.
- Improved multi-block support.
- Improved AMR support.
- Animation saving with ffmpeg.
- Filters have been added for FLUENT, OpenFOAM, MFIX, LSDyna, and AcuSolve.
- A gradient filter for unstructured data.
- Many other enhancements and bugfixes.