Numerical Methods and Optimization Theory and Practice for Engineers
This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be at...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
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Cham :
Springer International Publishing
2021.
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| Edición: | 1st ed. 2021. |
| Colección: | Springer eBooks.
Springer Optimization and Its Applications ; 187. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b45998437*spi |
| Sumario: | This text, covering a very large span of numerical methods and optimization, is primarily aimed at advanced undergraduate and graduate students. A background in calculus and linear algebra are the only mathematical requirements. The abundance of advanced methods and practical applications will be attractive to scientists and researchers working in different branches of engineering. The reader is progressively introduced to general numerical methods and optimization algorithms in each chapter. Examples accompany the various methods and guide the students to a better understanding of the applications. The user is often provided with the opportunity to verify their results with complex programming code. Each chapter ends with graduated exercises which furnish the student with new cases to study as well as ideas for exam/homework problems for the instructor. A set of programs made in Matlab™ is available on the author's personal website and presents both numerical and optimization methods. |
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| Descripción Física: | 1 recurso electrónico, XX, 715 páginas, 228 ilustraciones, 154 ilustraciones en color |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9783030893668 |
