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Numerical Engineering Optimization = Application of the Computer Algebra System Maxima /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Numerical Engineering Optimization/ by Andreas Öchsner, Resam Makvandi.
其他題名:
Application of the Computer Algebra System Maxima /
作者:
Öchsner, Andreas.
其他作者:
Makvandi, Resam.
面頁冊數:
VIII, 228 p. 68 illus., 52 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Engineering Mathematics. -
電子資源:
https://doi.org/10.1007/978-3-030-43388-8
ISBN:
9783030433888
Numerical Engineering Optimization = Application of the Computer Algebra System Maxima /
Öchsner, Andreas.
Numerical Engineering Optimization
Application of the Computer Algebra System Maxima /[electronic resource] :by Andreas Öchsner, Resam Makvandi. - 1st ed. 2020. - VIII, 228 p. 68 illus., 52 illus. in color.online resource.
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.
ISBN: 9783030433888
Standard No.: 10.1007/978-3-030-43388-8doiSubjects--Topical Terms:
1203947
Engineering Mathematics.
LC Class. No.: TA349-359
Dewey Class. No.: 531
Numerical Engineering Optimization = Application of the Computer Algebra System Maxima /
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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.
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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.
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