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Dambach Linear Algebra Framework - Home

The Dambach Linear Algebra Framework is a general purpose Linear Algebra framework for .Net. The main goal is to enable ordinary programmers (who do not have a math degree) to make use of linear algebra methods in solving everyday problems.

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Dambach Linear Algebra Framework - Home | linearalgebra.codeplex.com Reviews

https://linearalgebra.codeplex.com

The Dambach Linear Algebra Framework is a general purpose Linear Algebra framework for .Net. The main goal is to enable ordinary programmers &amp;#40;who do not have a math degree&amp;#41; to make use of linear algebra methods in solving everyday problems.

INTERNAL PAGES

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1

Dambach Linear Algebra Framework - People

http://linearalgebra.codeplex.com/team/view

Are you sure you want to leave this project? Project Hosting for Open Source Software. Dambach Linear Algebra Framework. Project Member since Jun 18, 2009. Project Member since May 6, 2011. Follower since Feb 11, 2013. Follower since Dec 13, 2012. Follower since Jul 12, 2011. Follower since Jun 21, 2011. Follower since Mar 26, 2010. Looking for C# Programmers with Strong Mathematics and Optimization Background. To join this project. Request To Join Project X. Version 8.21.2015.21031.

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Dambach Linear Algebra Framework - Discussions

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Project Hosting for Open Source Software. Dambach Linear Algebra Framework. There are no discussions. To display notification settings. Keep up with what's going on in this project's discussions. Email me (change e-mail address). Each new discussion or response as they come in. A daily digest (summary) of new discussions and responses. Also stop notifications for individual. Issue(s) I subscribed to. Besides your subscription to all discussions, you have also chosen to be notified for 0.

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Dambach Linear Algebra Framework - Source Code

http://linearalgebra.codeplex.com/SourceControl/latest

Project Hosting for Open Source Software. Dambach Linear Algebra Framework. Only project members can connect to the project using TFS. Non-members may use Subversion to access the repository. To connect using Subversion. For more information on connecting to CodePlex projects using Team Foundation Server or Subversion, please see these instructions. Click an item in the panel on the left to view the contents here. Version 8.21.2015.21031.

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Dambach Linear Algebra Framework - Download: Linear Algebra Framework - Sneak Peak

http://linearalgebra.codeplex.com/releases/view/44488

Project Hosting for Open Source Software. Dambach Linear Algebra Framework. Linear Algebra Framework - Sneak Peak. Apr 29, 2010. Apr 30, 2010. Application, 17K, uploaded Apr 30, 2010. Application, 18K, uploaded Apr 30, 2010. Application, 208K, uploaded Apr 30, 2010. This is just to get the code out there into the hands of potential users and to elicit feedback. Reviews for this release. No reviews yet for this release. Opera does not support ClickOnce X. Linear Algebra Framework - Sneak Peak. Apr 29, 2010.

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Dambach Linear Algebra Framework - License

http://linearalgebra.codeplex.com/license

Project Hosting for Open Source Software. Dambach Linear Algebra Framework. New BSD License (BSD). Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:. 42; Neither the name of Dambach Corporation nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. Current (started May 20, 2009. Version 8.21.2015.21031.

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Dambach Linear Algebra Framework - Home

Project Hosting for Open Source Software. Dambach Linear Algebra Framework. By clicking Delete, all history, comments and attachments for this page will be deleted and cannot be restored. Change History (all pages). The Dambach Linear Algebra Framework is a general purpose Linear Algebra framework for .Net. The main goal is to enable ordinary programmers (who do not have a math degree) to make use of linear algebra methods in solving everyday problems. Last edited May 28, 2010 at 2:30 PM.

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