Optimization Methods in Mathematical Modeling of Technological Processes Optimization Methods in Mathematical Modeling of Technological Processes
Mathematical Engineering

Optimization Methods in Mathematical Modeling of Technological Processes

    • USD 139.99
    • USD 139.99

Descripción editorial

This book focuses on selected methods of applied mathematics that are aimed at mathematical optimization, with an emphasis on their application in engineering practice. It delves into the current mathematical modeling of processes and systems, with a specific focus on the optimization modeling of technological processes. The authors discuss suitable linear, convex, and nonlinear optimization methods for solving problems in engineering practice. Real-world examples and data are used to numerically illustrate the implementation of these methods, utilizing the popular MATLAB software system and its extension to convex optimization. The book covers a wide range of topics, including mathematical modeling, linear programming, convex programming, and nonlinear programming, all with an engineering optimization perspective. It serves as a comprehensive guide for engineers, researchers, and students interested in the practical application of optimization methods in engineering. 

GÉNERO
Técnicos y profesionales
PUBLICADO
2023
20 de julio
IDIOMA
EN
Inglés
EXTENSIÓN
187
Páginas
EDITORIAL
Springer Nature Switzerland
VENDEDOR
Springer Nature B.V.
TAMAÑO
15.1
MB

Otros libros de esta serie

Fundamentals of Structural Optimization Fundamentals of Structural Optimization
2023
Dimension Reduced Modeling of Blood Flow in Large Arteries Dimension Reduced Modeling of Blood Flow in Large Arteries
2023
Theory of Periodic Conjugate Heat Transfer Theory of Periodic Conjugate Heat Transfer
2023
Linear Systems Linear Systems
2023
Kinematics of Mechanical Systems Kinematics of Mechanical Systems
2022
Mathematical Modeling Mathematical Modeling
2022