119,69 €
132,99 €
-10% with code: EXTRA
Adaptive Numerical Solution of Pdes
Adaptive Numerical Solution of Pdes
119,69
132,99 €
  • We will send in 10–14 business days.
Numerical mathematics is a subtopic ofscientific computing. The focuslies on the efficiencyof algorithms, i.e. speed, reliability, and robustness.This leads to adaptive algorithms.The theoreticalderivation und analysesof algorithmsare kept as elementary as possible in this book; the neededsligtly advancedmathematical theory is summarized in the appendix.Numerous figures and illustrating examples explain the complex data, as non-trivial examples serve problems from nanotechnology, chirurgy, and…
  • Publisher:
  • ISBN-10: 3110283107
  • ISBN-13: 9783110283105
  • Format: 17 x 24.4 x 2.3 cm, hardcover
  • Language: English
  • SAVE -10% with code: EXTRA

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Numerical mathematics is a subtopic ofscientific computing. The focuslies on the efficiencyof algorithms, i.e. speed, reliability, and robustness.This leads to adaptive algorithms.The theoreticalderivation und analysesof algorithmsare kept as elementary as possible in this book; the neededsligtly advancedmathematical theory is summarized in the appendix.Numerous figures and illustrating examples explain the complex data, as non-trivial examples serve problems from nanotechnology, chirurgy, and physiology. The bookaddressesstudents as well aspractitioners inmathematics, naturalsciences, and engineering.It is designed as atextbook but also suitable for self study

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  • Author: Peter Deuflhard
  • Publisher:
  • ISBN-10: 3110283107
  • ISBN-13: 9783110283105
  • Format: 17 x 24.4 x 2.3 cm, hardcover
  • Language: English English

Numerical mathematics is a subtopic ofscientific computing. The focuslies on the efficiencyof algorithms, i.e. speed, reliability, and robustness.This leads to adaptive algorithms.The theoreticalderivation und analysesof algorithmsare kept as elementary as possible in this book; the neededsligtly advancedmathematical theory is summarized in the appendix.Numerous figures and illustrating examples explain the complex data, as non-trivial examples serve problems from nanotechnology, chirurgy, and physiology. The bookaddressesstudents as well aspractitioners inmathematics, naturalsciences, and engineering.It is designed as atextbook but also suitable for self study

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