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Award ID contains: 1912048

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  1. ; ; ; (, SIAM Journal on Scientific Computing)
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  2. ; ; ; ; ; (, Parallel Computing)
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  3. ; ; ; (, IMA Journal of Numerical Analysis)
    Abstract This paper examines a number of extrapolation and acceleration methods and introduces a few modifications of the standard Shanks transformation that deal with general sequences. One of the goals of the paper is to lay out a general framework that encompasses most of the known acceleration strategies. The paper also considers the Anderson Acceleration (AA) method under a new light and exploits a connection with quasi-Newton methods in order to establish local linear convergence results of a stabilized version of the AA method. The methods are tested on a number of problems, including a few that arise from nonlinear partial differential equations. 
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  4. ; ; (, SIAM Journal on Matrix Analysis and Applications)
    null (Ed.)
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  5. ; ; (, SIAM Journal on Matrix Analysis and Applications)
    null (Ed.)
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  6. ; ; (, Numerical Linear Algebra with Applications)
    null (Ed.)
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