227,15 €
252,39 €
-10% with code: EXTRA
Scientific Computing with Mathematica(r)
Scientific Computing with Mathematica(r)
227,15
252,39 €
  • We will send in 10–14 business days.
Provides a general framework useful for the application of the theory of ODEs, as well as a sophisticated use of Mathematica software for the solution of problems related to ODEs. Through extensive worked examples and computer program demonstrations using Mathematica, the authors cover phase portrait, approximate solutions, periodic orbits, stability, bifurcation, and boundary problems. For graduate students, researchers, and practitioners in applied mathematics and engineering seeking an under…
  • Publisher:
  • Year: 2013
  • Pages: 270
  • ISBN-10: 1461266351
  • ISBN-13: 9781461266358
  • Format: 15.6 x 23.4 x 1.5 cm, softcover
  • Language: English
  • SAVE -10% with code: EXTRA

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Provides a general framework useful for the application of the theory of ODEs, as well as a sophisticated use of Mathematica software for the solution of problems related to ODEs. Through extensive worked examples and computer program demonstrations using Mathematica, the authors cover phase portrait, approximate solutions, periodic orbits, stability, bifurcation, and boundary problems. For graduate students, researchers, and practitioners in applied mathematics and engineering seeking an understanding of using ODEs in modeling physical, biological, and economic phenomena.

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  • Author: Addolorata Marasco
  • Publisher:
  • Year: 2013
  • Pages: 270
  • ISBN-10: 1461266351
  • ISBN-13: 9781461266358
  • Format: 15.6 x 23.4 x 1.5 cm, softcover
  • Language: English English

Provides a general framework useful for the application of the theory of ODEs, as well as a sophisticated use of Mathematica software for the solution of problems related to ODEs. Through extensive worked examples and computer program demonstrations using Mathematica, the authors cover phase portrait, approximate solutions, periodic orbits, stability, bifurcation, and boundary problems. For graduate students, researchers, and practitioners in applied mathematics and engineering seeking an understanding of using ODEs in modeling physical, biological, and economic phenomena.

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