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Solving Ordinary Differential Equations II

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The article was published on 2010-01-01 and is currently open access. It has received 3684 citations till now. The article focuses on the topics: Stochastic partial differential equation & Integrating factor.

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Modules for Experiments in Stellar Astrophysics (MESA)

TL;DR: Modules for Experiments in Stellar Astrophysics (MESA) as mentioned in this paper is a suite of open source, robust, efficient, thread-safe libraries for a wide range of applications in computational stellar astrophysics.
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The MATLAB ODE Suite

TL;DR: This paper describes mathematical and software developments for a suite of programs for solving ordinary differential equations in MATLAB.
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Inverse problems: A Bayesian perspective

TL;DR: The Bayesian approach to regularization is reviewed, developing a function space viewpoint on the subject, which allows for a full characterization of all possible solutions, and their relative probabilities, whilst simultaneously forcing significant modelling issues to be addressed in a clear and precise fashion.
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A Predictor-Corrector Approach for the Numerical Solution of Fractional Differential Equations

TL;DR: In this paper, an Adams-type predictor-corrector method for the numerical solution of fractional differential equations is discussed, which may be used both for linear and nonlinear problems, and it may be extended tomulti-term equations (involving more than one differential operator) too.