Image from Google Jackets

Numerical Engineering Optimization Application of the Computer Algebra System Maxima / by Andreas Öchsner, Resam Makvandi

By: Öchsner, Andreas., autor
Contributor(s): Makvandi, Resam, autor | SpringerLink (Online service)
Material type: materialTypeLabelE-bookSeries: (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: First edition.Description: 1 recurso en línea (VIII, 228 páginas) : 68 ilustraciones, 52 ilustraciones a color.ISBN: 9783030433888.Subject: Optimización matemáticaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
1. Introduction -- 2. Unconstrained Functions of One Variable -- 3. Constrained Functions of One Variable -- 4. Unconstrained Functions of Several Variables -- 5. Constrained Functions of Several Variables -- 6. Answers to Supplementary Problems.
Abstract: This study aid on numerical optimization techniques is intended for university undergraduate and postgraduate mechanical engineering students. Optimization procedures are becoming more and more important for lightweight design, where weight reduction can, for example in the case of automotive or aerospace industry, lead to lower fuel consumption and a corresponding reduction in operational costs as well as beneficial effects on the environment. Based on the free computer algebra system Maxima, the authors present procedures for numerically solving problems in engineering mathematics as well as applications taken from traditional courses on the strength of materials. The mechanical theories focus on the typical one-dimensional structural elements, i.e., springs, bars, and Euler-Bernoulli beams, in order to reduce the complexity of the numerical framework and limit the resulting design to a low number of variables. The use of a computer algebra system and the incorporated functions, e.g., for derivatives or equation solving, allows a greater focus on the methodology of the optimization methods and not on standard procedures. The book also provides numerous examples, including some that can be solved using a graphical approach to help readers gain a better understanding of the computer implementation.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QA402.5 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook.24062059
Total holds: 0

1. Introduction -- 2. Unconstrained Functions of One Variable -- 3. Constrained Functions of One Variable -- 4. Unconstrained Functions of Several Variables -- 5. Constrained Functions of Several Variables -- 6. Answers to Supplementary Problems.

This study aid on numerical optimization techniques is intended for university undergraduate and postgraduate mechanical engineering students. Optimization procedures are becoming more and more important for lightweight design, where weight reduction can, for example in the case of automotive or aerospace industry, lead to lower fuel consumption and a corresponding reduction in operational costs as well as beneficial effects on the environment. Based on the free computer algebra system Maxima, the authors present procedures for numerically solving problems in engineering mathematics as well as applications taken from traditional courses on the strength of materials. The mechanical theories focus on the typical one-dimensional structural elements, i.e., springs, bars, and Euler-Bernoulli beams, in order to reduce the complexity of the numerical framework and limit the resulting design to a low number of variables. The use of a computer algebra system and the incorporated functions, e.g., for derivatives or equation solving, allows a greater focus on the methodology of the optimization methods and not on standard procedures. The book also provides numerous examples, including some that can be solved using a graphical approach to help readers gain a better understanding of the computer implementation.

There are no comments on this title.

to post a comment.
Share