Antonio J. Conejo; Enrique Castillo; Roberto Minguez; Raquel Garcia-Bertrand Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2006) Kovakantinen kirja
Antonio J. Conejo; Enrique Castillo; Roberto Minguez; Raquel Garcia-Bertrand Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2010) Pehmeäkantinen kirja
Paloma Arroyo Huidobro; Antonio I. Fernández-Domínguez; John B. Pendry; Luis Martín-Moreno; Francisco J. Garcia-Vidal Cambridge University Press (2018) Pehmeäkantinen kirja
Antonio Javier Moreno Verdejo; Lorenzo J. Blanco Nieto; María Teresa González Astudillo; Gloria María Sánchez-Matamoros García Editorial Universidad de Granada (2023) Pehmeäkantinen kirja
Various authors; Arlene Garcia; John J. McGlone; Jonathan Amory; Nina Wainwright; Luigi Faucitano; Antonio Velarde; Garci Burleigh Dodds Science Publishing Limited (2024) Pehmeäkantinen kirja
J. Andrés Christen (ed.); Ruth Fuentes-García (ed.); Gabriel Núñez-Antonio (ed.); Sergio Pérez (ed.); Alan (ed Riva-Palacio Springer (2025) Kovakantinen kirja
John Wiley & Sons Inc Sivumäärä: 568 sivua Asu: Kovakantinen kirja Julkaisuvuosi: 2001, 21.11.2001 (lisätietoa) Kieli: Englanti
Fundamental concepts of mathematical modeling
Modeling is one of the most effective, commonly used tools in engineering and the applied sciences. In this book, the authors deal with mathematical programming models both linear and nonlinear and across a wide range of practical applications.
Whereas other books concentrate on standard methods of analysis, the authors focus on the power of modeling methods for solving practical problems-clearly showing the connection between physical and mathematical realities-while also describing and exploring the main concepts and tools at work. This highly computational coverage includes: * Discussion and implementation of the GAMS programming system * Unique coverage of compatibility * Illustrative examples that showcase the connection between model and reality * Practical problems covering a wide range of scientific disciplines, as well as hundreds of examples and end-of-chapter exercises * Real-world applications to probability and statistics, electrical engineering, transportation systems, and more
Building and Solving Mathematical Programming Models in Engineering and Science is practically suited for use as a professional reference for mathematicians, engineers, and applied or industrial scientists, while also tutorial and illustrative enough for advanced students in mathematics or engineering.
