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NLA Group Articles Amongst Most Read In SIAM Journals
Sixteen publications by members of the NLA group feature among the top 40 most read articles in two SIAM journals, both leading venues for publications in numerical linear algebra.
The following articles are amongst the 20 most read in the SIAM Journal on Matrix Analysis and Applications:
The following articles are amongst the 20 most read in the SIAM Journal on Scientific Computing:
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Welcome to the website of the Numerical Linear Algebra Group in the Department of Mathematics at The University of Manchester. We develop theory, algorithms and software for linear systems, eigenvalue problems, matrix functions, and other problems. With around 20 members, we are one of the largest such groups in the world. Our funders include EPSRC, MathWorks, The Royal Society and Innovate UK. We work with industrial partners including Arup, MathWorks, NAG Ltd. and Sabisu.
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