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Linear Algebra

Linear algebra is a fundamental tool in modeling and computation. This area covers research and computational methods in linear algebra and matrix analysis. A few examples of the diverse areas of application are signal processing, systems and control theory, statistics, Markov chains, and mathematical biology.

Research Area Announcements

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Activity Groups and Journals

Related Activity Group

  • Linear Algebra
This activity group promotes research in linear algebra and its applications.

Related Journal

  • Matrix Analysis and Applications
SIAM Journal on Matrix Analysis and Applications (SIMAX) contains research articles and papers of interest to the numerical linear algebra community. SIMAX also contains papers that are of a theoretical nature but have a possible impact on applications.

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The leading source of knowledge for the world’s applied mathematics and computational science communities.
 

General Opportunities

We know it can be overwhelming to keep track of career opportunities that may be relevant to you as a member of the SIAM community. So, we’ve compiled lists of some of our favorite fellowship, internship, and research opportunities. Check ‘em out!

Fellowships

Looking for financial support to further your research? Fellowships often provide funding plus experiential learning opportunities to young researchers. Learn more about fellowship opportunities.

 

Internships

Internships allow you to network and forge connections for future job possibilities, while also exploring possible areas of interest. Look at this list of companies who offer valuable opportunities.        

 

Opportunities

Our community is founded on igniting groundbreaking developments in applied math and computational science. Take a deeper dive into your area of study with one of these opportunities.