Envío gratis a partir de 69,99 euros.

«Comprobar estado del pedido»

Entre a formar parte de una comunidad de amantes de los libros del mundo entero y acceda a un sinfín de ventajas. Crear una cuenta gratis

Envío gratuito con Zásilkovna para compras superiores a 59.99 €

Mensajería SEUR 5.49 € Mensajería GLS 8.49 € Mensajería Correos 5.99 € Mensajería DHL 5.99 € Punto SEUR 4.49 €

Contacto

Cómo comprar

Ayuda

Mi cuenta

▸ Vacío :-(

Envío gratis a partir de 69,99 euros.

Numerical Methods and Optimization

Name: Numerical Methods and Optimization
Brand: Springer, Berlin
SKU: 42644969
Price: 47.29 EUR
Availability: InStock
Author: Jean-Pierre Corriou
ISBN: 9783030893682

Theory and Practice for Engineers

Jean-Pierre Corriou

Idioma

Inglés

Libro Tapa blanda

Código Libristo: 42644969

Editores Springer, Berlin, noviembre 2022

This text, covering a very large span of numerical methods and optimization, is primarily aimed at a... Descripción completa

Código Libristo: 42644969

116 b

47.29 €

Almacenamiento externo Envío en 14-21 días

Hasta 30 días para devoluciones

Clientes que también han comprado

Python Machine Learning Vahid Mirjalili

Tapa blanda

56.89 €

Python for Data Analysis 3e Wes Mckinney

Tapa blanda

64.59 €

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Aurelien Geron

Tapa blanda

72.59 €

Cracking the Coding Interview Gayle Laakmann McDowell

Tapa blanda

52.69 €

Data Science with Java Michael R. Brzustowicz

Tapa blanda

64.79 €

Core Java Vol. I: Fundamentals Cay Horstmann

Tapa blanda

87.89 €

Core Java, Volume II: Advanced Features Cay Horstmann

Tapa blanda

84.39 €

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(TM) is available on the author's personal website and presents both numerical and optimization methods.