Titlebook: Error Estimates for Well-Balanced Schemes on Simple Balance Laws; One-Dimensional Posi Debora Amadori,Laurent Gosse Book 2015 The Author(s)

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書目名稱Error Estimates for Well-Balanced Schemes on Simple Balance Laws影響因子(影響力)學(xué)科排名




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書目名稱Error Estimates for Well-Balanced Schemes on Simple Balance Laws年度引用學(xué)科排名




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書目名稱Error Estimates for Well-Balanced Schemes on Simple Balance Laws讀者反饋學(xué)科排名

Spinal-Tap

騙子

SMART

https://doi.org/10.1007/978-94-009-4484-8In this chapter we analyze some simple examples, which suggest that the error quantification should take into account of the possible grow in time of the error. This observation provides a motivation for going beyond more classical local-in-time concepts of error (so-called .).

的事物

Sitka Spruce (,, (Bong.) Carr.),In this chapter we illustrate our approach to the error estimate analysis, for a scalar, space-dependent, non-resonant balance law. A wave-front tracking scheme is analyzed, leading to a generic linear dependence in time of the error. Numerical illustrations are given for accretive case and for the case of periodic forcing.

Guileless

Cells of the Blood Circulation,In this chapter we address a semilinear system of two equations, in one space dimension, related to the wave equation with space-dependent damping. An approximation scheme is defined, of Well-Balanced type; for this scheme an error estimate is devised by means of the stability analysis for hyperbolic systems.

Guileless

Cell and Tissue Reaction EngineeringIn this chapter we analyze the scheme, which was introduced in the previous chapter, by means of a classical Kuznetsov approach. An alternative qualitative estimate, in terms of time and mesh size, is therefore devised. The two estimates are compared, revealing complementary aspects.

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白楊

Local and Global Error Estimates,In this chapter we analyze some simple examples, which suggest that the error quantification should take into account of the possible grow in time of the error. This observation provides a motivation for going beyond more classical local-in-time concepts of error (so-called .).

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