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Новости библиотеки алгоритмов

В архиве новостей приведен список всех новостей библиотеки алгоритмов, всего 31 новостей. Последние новости находятся на странице новостей.

04.07.2012  ALGLIB 3.6.0 is released

ALGLIB 3.6.0 was released today, with new algorithms and fixes:

Commercial version of ALGLIB 3.6.0 will be delivered to customers with active support/maintenance agreement within few days. Good luck with ALGLIB!

22.05.2012  New articles for ALGLIB User Guide

We've updated ALGLIB User Guide - online book about ALGLIB and numerical analysis algorithms in general. Update includes three articles on interpolation and data analysis algorithms:

We continue our work on bringing you more information - and developing new algorithms. Good luck with ALGLIB!

27.03.2012  ALGLIB 3.5.0 is released

New version of ALGLIB is released - ALGLIB 3.5.0, with many improvements and new algorithms:

Commercial version of the new release will be delivered to customers with active support/maintenance agreement within few days. Good luck with ALGLIB!

03.01.2012  Commercial licensing policy changed - more rights for our customers

ALGLIB Project announces introduction of new version of the ALGLIB Commercial License Agreement. New agreement gives same freedoms as previous one, but additionally it allows our customers to:

These options can be used for no additional fee by any customer, from large company to one-developer startup. We believe that such license covers most use cases. However, if you feel that for some reason our commercial license does not suit your needs, feel free to contact us and describe your situation. We are always ready to discuss new licensing options.

04.10.2011  We've moved into a new office!

ALGLIB Project - a company which supports ALGLIB - has moved to the new location. Our new office is located at the 12th floor of the "Capital-Nizhny" office building. Thus, our mailing address has changed to 603006, Russian Federation, Nizhny Novgorod, Maxim Gorky street, 117, room 1210. Our legal address remains unchanged.

17.06.2011  ALGLIB 3.4.0 is released

New version of ALGLIB is released - ALGLIB 3.4.0. This release includes many improvements:

We've also fixed several bugs:

28.04.2011  Commercial licensing/pricing policy changed

ALGLIB Project announces following changes in the commercial licensing policy. First, we've introduced new version of the commercial license agreement. It gives same freedoms as previous one, but additionally it:

We've also introduced set of new licensing options targeted at large businesses and government entities:

Finally, we've changed our pricing model. New pricing model features differentiated price, which depends on the number of developers working with ALGLIB. Thus, it has some traits of per-developer licensing - but it is not per-developer licensing because there is no need to pay additional fees every time you add one mode developer.

There is unlimited company-wide license and there is a set of discounts based on the number of developers actually using ALGLIB. For example, there are discounts for companies with 1, 3, 5 or 8 developers. Additional discounts are provided to companies from developing countries or companies which need only minor fraction of ALGLIB functionality. These discounts are applied at the moment of purchase and are not subject to recalculation/revocation in the future (except for the situation when you understand that you need more developers right after the purchase). We've discussed details of our new licensing/pricing model in our FAQ. Speaking short, we give discount for small companies, but we do not charge them when they begin to grow.

We hope that our new licensing model will make ALGLIB accessible both to small and large companies. In case you feel that your company needs special handling (i.e. some special kind of discount), feel free to contact us.

06.03.2011  ALGLIB 3.3.0 is released

New release of ALGLIB - now in five programming environments (C++, C#, CPython, IronPython, VB.NET). This release contains following improvements:

29.12.2010  ALGLIB for IronPython is released

We are ready to announce last release of the Release Month - ALGLIB for IronPython!

Similar to its CPython counterpart, ALGLIB for IronPython is a wrapper - but wrapper around computational core written in C#. ALGLIB for IronPython - is a 100% NET library, which includes only safe code and which is compatible with both 32-bit and 64-bit architectures. And, as far as we know, ALGLIB is a first major numerical analysis library, which is fully compatible with IronPython.

This release is the last one for 2010, and our Release Month is over. Good luck to all ALGLIB users in the upcoming 2011!

25.12.2010  One more release - ALGLIB for CPython

Release Month continues with one more branch of ALGLIB! ALGLIB for CPython is an automatically generated wrapper for computational core written in C++. This branch of ALGLIB combines performance of C++ with flexibility of Python.

One of the most interesting features of new ALGLIB is 100% compatibility with both branches of Python - 2.x and 3.x, which allows to use package with any version of interpreter since 2.5. It makes ALGLIB one of the few numerical packages which can be used with Python 3.

In order to achieve such portability, ALGLIB for CPython uses ctypes to access computational core, which is implemented as external shared library. As result, it can be used with CPython only - other implementations of Python don't support ctypes fully enough. However, Release Month is not over yet :) in a several days we will introduce one more version of ALGLIB, for one more programming language from (spoiler!) Python family.

23.12.2010  ALGLIB for VB.NET is released

New branch of ALGLIB is released - ALGLIB for VB.NET! From now - in open source and commercial editions.

ALGLIB for VB.NET is an automatically generate wrapper for ALGLIB for C#. All ALGLIB functionality can be accessed through one VB module - xalglib.vb, which automatically calls appropriate C# functions and converts data structures between VB.NET and C#. And you don't have to study C# in order to use ALGLIB and to setup C# compiler - C# computational core is distributed in the precompiled form (although you still have sources).

20.12.2010  ALGLIB 3.2.0 is released

We announce new version of ALGLIB - ALGLIB 3.2.0. This release includes many improvements and new algorithms:

31.10.2010  ALGLIB 3.1.0 is released

We are happy to announce new release - ALGLIB 3.1.0. This release includes following improvements:

We also significantly improved ALGLIB documentation, especially 'Optimization' и 'Interpolation' sections of ALGLIB User Guide. Many new examples were added, cross-links between ALGLIB User Guide and ALGLIB Reference Manual were implemented.

30.09.2010  Final release of ALGLIB 3.0.0 for C++ and C#

Final release of ALGLIB 3.0.0 is ready - both C++ and C# versions. This release contains some minor tweaks for better portability as well as some new functionality. We've fixed some minor bugs in ALGLIB 3.0.0.RC1 (and discovered some bugs in GCC and Sun Studio during our testing).

C# version features significant changes in the interface provided by the library. As with C++ version, 104 .cs files were merged into 12 packages. Function names were changed from alglib.classname.functionname to alglib.functionname. Inconvenient reverse communication interface used by optimizers and fitting functions was replaced by more convenient version which accepts delegates.

There is also new functionality in the ALGLIB 3.0 in comparison with Release Candidate 1: better step selection for CG-based algorithms, grid conversion and differentiation using cubic splines, internal sorting algorithm improvements.

01.09.2010  New release - ALGLIB 3.rc1 for C++

Totally new version of ALGLIB is released - ALGLIB 3.0.0.rc1. This new version contains several major changes which makes it very different from previous releases.

First, it contains many backward incompatible changes. Names/parameters of some functions were changed. Obsolete constructions which were there because of backward compatibility only are now gone. See Change Log for more information. Sounds complex? Not really - if you can compile your code with new ALGLIB, everything will work.

Second, there was major restructurization of code which was made after discussion with ALGLIB users. ALGLIB 2.6.0 contained 104 units, and our users find it inconvenient to have 104 files in their project. Now, in ALGLIB 3.x all units are merged into 12 packages with simple dependency structure. So you have to change names of headers/units you use.

Third, project idea was changed a bit. Before 3.x core concept was automatic translation from pseudocode to each of target languages. FreePascal ALGLIB was 100% FreePascal, VBA ALGLIB was 100% VBA. It was very beatiful idea, but the more we wanted from ALGLIB, the harder it was to implement it in all languages. So from 3.0 we've changed our focus from automatic translation to automatic interface generation. Automatic translation is still used, but we translate to several "rich" languages only: C, C++, C#, multiple precision C++. Other languages will get interface to precompiled C version.

Such large-scale changes need some time, so now we are only able to introduce C++ version. During September we will introduce C# (which is almost ready) and Python versions (former will be implemented in pure C#, while latter will be interface to precompiled C version). Python interface was announced long before this release. It was planned to be introduced in June, but because of switch to ALGLIB 3.x with its backward incompatible changeds we've decided to make it available after first 3.x release.

There is also new functionality in the ALGLIB 3.0: nonlinear solver, efficient restart functions for optimizers, improved error handling in many functions. Inconvenient reverse communication interface used by optimizers and fitting functions was replaced by more convenient version which accepts function pointers (however, you still can use reverse communication interface).

01.06.2010  ALGLIB 2.6.0 is released

New ALGLIB release features:

1. two bugfixes (see. Change Log).

2. improved spline interpolation algorithms: added support for Catmull-Rom spline; added support for periodic boundary conditions.

3. new algorithms for parametric spline interpolation in 2D and 3D are introduced. Two types of curves are supported: with non-periodic and periodic boundary conditions, i.e. open curves and loops.

Now several words about the future. New release of ALGLIB is almost the same as ALGLIB 2.5.0 - there were no new algorithms except for improved spline interpolation. The reason for this is active work under new extension of ALGLIB package - interface between ALGLIB and Python. Two interfaces are planned to be released - one for double precision ALGLIB, another for multiple precision ALGLIB. At least one of them should be ready in June, with another following several weeks later.

12.04.2010  ALGLIB 2.5.0 is released

New ALGLIB release features:

1. two bugfixes (see Change Log).

2. new optimization algorithms: nonlinear conjugate gradient method and active set algorithm for bound constrained optimization.

3. API of L-BFGS and Levenberg-Marquardt algorithms was slightly changed: see #0000326 and #0000327 for more info. These changes are backward incompatible. However, it should be easy to modify existing programs to work with new interface.

10.03.2010  ALGLIB 2.4.0 is released

1. New ALGLIB release contains improved versions of several linear algebra algorithms: QR decomposition, matrix inversion, condition number estimation.

2. New algorithms implemented: complex QR and LQ decompositions, condition number estimation for triangular matrices, exact and approximate nearest neighbor search using kd-trees, new multidimensional scattered data interpolation/fitting algorithm with O(N·logN) complexity (modified Shepard's method with fast k-NN queries).

3. Minor fixes in one of the units (see Change Log).

30.01.2010  ALGLIB 2.3.0 is released

1. New ALGLIB release features improved linear algebra subroutines (mostly in C++ version). Performance of C++ implementation of Level 1 BLAS was significantly improved. A number of cache oblivious Level 2 and Level 3 BLAS algorithms was implemented. Triangular factorization algorithms (LU decomposition and Cholesky decomposition) were rewritten in new cache-oblivious manner. Now they are relying on Level 3 ALGLIB BLAS and their performance was significantly improved. New condition number estimation algorithm is much more faster than the previous version (partly due to reduction of unnecessary matrix copying).

2. New algorithms were added: a set of linear solvers for real/complex/SPD/HPD matrices.

3. Minor fixes (see Change Log for more info).

Plans for the near future: improve performance of orthogonal factorization algorithms (QR/QL/LQ/RQ, bi/tridiagonal reduction) and rewrite them in cache-oblivious manner; further improve C++ version performance using SSE intrinsics.

18.01.2010  ALGLIB 2.2.1 is released

ALGLIB 2.2.1 is a small bugfix-only release. This release fixes incorrect assertion in minlm unit.

December, 2009. ALGLIB 2.2.0.

1. One of the most important changes is new script-based compilation/testing system. Now ALGLIB may be compiled using Bash-script build (or batch file with similar name - for Windows users). One more script - check - may be used to test ALGLIB (or individual units).

2. ALGLIB was tested under wide variety of platforms and compilers, package portability was significantly improved. As of December, 2009, ALGLIB was tested under x86 and x86_64, under Windows and Linux, with Microsoft compilers, GCC, Mono and FreePascal. More wide testing is expected - both with new compilers and new hardware/software platforms.

3. Now ALGLIB supports Pascal in two fashions - proprietary Delphi compiler and open-source FreePascal compiler. ALGLIB for FreePascal is a different set of source codes, which targets slightly different language standard (FPC default mode). Although there are minor issues with current FPC release, FreePascal looks like an interesting compiler to support because of its open sourceness and cross-platform capabilities.

4. A lot of sources introduced: new constrained/unconstrained linear least squares fitting codes, non-linear least squares fitting sources, rational/polynomial fitting in barycentric form, fitting by splines, high quality random number generator, random matrix generator. See http://bugs.alglib.net/changelog_page.php for complete list of changes.

October, 2009. ALGLIB 2.1.2.

ALGLIB 2.1.2 is another bugfix-only release. This release fixes compilation error under original (Linux) GCC and incorrect handling of near-underflow vectors by reflections unit.

September, 2009. ALGLIB 2.1.1.

ALGLIB 2.1.1 - is a minor update to ALGLIB 2.1.0, bugfix-only release. The only change is a bug in the neural networks package being fixed. Major improvements will wait till 2.2.0 release, which is expected to be released in November, 2009.

September, 2009. ALGLIB 2.1.0.

The most important in the version 2.1.0 is a change of license. The decision to change the license was not easy. The project was distributed under BSD for about two years. But over time it became clear that GPL is more suitable for further project development. So starting from version 2.1.0, ALGLIB is distributed under GPL 2+ (GPL version 2 or later). License change, of course, affects only 2.1.0 and following versions. Users of previous versions may continue to use ALGLIB and distribute derivative code under less strict, BSD-compatible terms.

About other changes:

Backward incompatible changes:

See bug tracker for more information on changes, roadmap - for more information on progress with next release.

July, 2009. ALGLIB 2.0.1.

ALGLIB 2.0.1 is a small bug fix release (see bug tracker for more information). The most important changes: improved performance of rational interpolation algorithm; improved compatibility with tools/compilers which checks for uninitialized variables. The next release is scheduled for August/September; new integration sources will be introduced as well as FFT/FHT/FST/FCT sources and fast convolution/correlation sources.

April, 2009. Site updates.

For a long time - almost a year - the project web-site has not been updated. Such a long break does not mean that the project development stopped. For most of the time we were actively developing new source codes. Now it's my pleasure to announce the following news to the ALGLIB users:

  1. A publicly available bug tracker that uses Mantis open-source software has been opened at bugs.alglib.net. At the moment the database is all but empty as earlier we registered bugs in a local software that doesn't allow for data to be transferred into Mantis.
  2. The 'Data Analysis' section has been opened. The topics of the section are: regression, classification and other ways of statistical data analysis. A range of algorithms has been implemented: linear and logit regression, random forests of decision trees, neural networks and ensembles of neural networks, linear discriminant analysis, principal component analysis method and k-means++ clustering algorithm.
  3. The Optimization section is redesigned. A new version of L-BFGS algorithm and an improved version of the Levenberg-Marquardt algorithm have been issued (the improved version dramatically exceeds the performance of the original algorithm). The new versions of algorithms use reverse communication to calculate the function/gradient values.
  4. A number of bugs have been eliminated and some minor improvements have been made. Their description can be found in the bug tracker.
  5. Several modules that are complicated to use (optimization, classification and regression) are now accompanied by examples. The online documentation contains references to the demonstration source codes in different languages. At the moment only the most complicated algorithms have examples. However, as the site develops it is planned to add them to all modules except those evident in usage.

Welcome the new ALGLIB 2.0!

Many ALGLIB users told us about their need to download all source codes in one zip archive. Also many users told us that absence of version numbers confuses them and prevents them from tracking changes in the projects. In fact, the project has been developing for a long time in a non-traditional way, as a collection of modules, where the users only chosen the ones they needed. This approach has its advantages, for instance, it allows for creation of compact programs. However there are drawbacks too: the changes in multitude of modules are very hard to track.

This is why the source code access mechanism was changed. Now users can download the entire project in a single zip archive, while still having the possibility to download modules one by one. Individual modules still don't have version numbers. However now the entire release has a number that changes with each alteration. The current version has the number 2.0.

Please note that the version numbers do not begin with 1 as the project has undergone a serious development since 1999, only a part of which was seen to English-speaking users (the project has been originally developed as a Russian language site). Version 2.0 contains all changes made to ALGLIB during the years.

A thought about the future...

Here I will set the priority tasks for the nearest future:

03 June, 2008. Last changes:

14 April, 2008. Last changes:

09 August, 2007. Last changes:

Future plans:

31 March, 2007. Last changes:

Future plans:

03 June, 2006. Welcome to the ALGLIB.NET website!

The main news for today is opening of the English-language version of the site, which you are visiting now. Nearly seven years ago, when this site only appeared, hardly anyone could imagine what this website will turn into, a number of years later. For this time, the website revealed only its best sides in the Russian segment of the global network. Now it is time to keep moving ahead. Due to the translation of this information into English, this site has become available to a larger amount of people than before. I hope that you will find all necessary information on this site and will come back for more!

Sergey Bochkanov, Author of ALGLIB.


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