Bezmaksas piegāde pasūtījumiem virs 29€

  • check 10+ miljoni grāmatu
  • check Jaunumi katru dienu
  • check Vairāk nekā 1 miljons klientu mums uzticas
  • check Labas cenas un atlaides
  • check Piegāde visā Eiropā

Numerical Engineering Optimization: Applications of the Programming Language Python - Andreas Ochsner,Resam Makvandi

angļu valoda
2026-07-06
119,87 € 171,25 €

-30% ar kodu BOOKS

Nav noliktavā

30 dienu atgriešanas politika

This book is intended as a study aid for numerical optimization techniques in undergraduate as well as postgraduate degree courses in mechanical engineering at universities. Such procedures become more and more important in the context of lightweight design where a weight reduction may directly result, for example in the case of automotive or aerospace industry, in a lower fuel consumption and the correspon ... Pilns apraksts

Jums varētu patikt arī

Aprašymas

This book is intended as a study aid for numerical optimization techniques in undergraduate as well as postgraduate degree courses in mechanical engineering at universities. Such procedures become more and more important in the context of lightweight design where a weight reduction may directly result, for example in the case of automotive or aerospace industry, in a lower fuel consumption and the corresponding reduction of operational costs as well as beneficial effects on the environment. Based on the open-source programming language Python, the authors offer routines to numerically solve problems from the context of engineering mathematics as well as applications taken from the classical courses of strength of materials. The mechanical theories focus on the classical one-dimensional structural elements, i.e., springs, bars, and Euler–Bernoulli beams. Focusing on simple structural members reduces the complexity of the numerical framework, and the resulting design space is limited to a low number of variables. The use of a general-purpose programming language and the available libraries, e.g., for derivatives or equation solving, allows to focus more on the methodology of the optimization methods and not on standard procedures. Some of the provided examples should be also solved in a graphical approach based on the objective function and the corresponding design space to better understand the computer implementation.

Vairāk informācijas

Autors Andreas Ochsner, Resam Makvandi
Izdevējs Springer Nature Switzerland AG
Izlaides gads 2026
Vāka tips Cietais vāks
EAN 9783032257727
Rakstiet savu atsauksmi
Jūs vērtējat: Numerical Engineering Optimization: Applications of the Programming Language Python
Jūsu novērtējums:

Goodreads atsauksmes

119,87 € 171,25 €