Modeling And Optimization Theory And Applications

Editors: Hiriart-Urruty, J.-B., Korytowski, A., Maurer, H., Szymkat, M. (Eds.)
Treats both theoretical and practical aspects of image processing, partial differential inclusions, shape optimization, and optimal control
Contains applications to medical and rehabilitation technology
Includes new theoretical results and applications in biomechanics, medical technology, image processing, and robotic control

Reliability theory and applications become major concerns of engineers and managers engaged in making high quality products and designing highly reliable systems.

Mastering Mathematical Modeling and Problem-Solving for Real-World Optimization Challenges

This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2022), organized by National Institute of Technology, Silchar, Assam, India, during December 21–23, 2022. The book covers topics of modeling, simulation, and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, and modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.

Authors: Skormin, Victor A.
Suitable for graduate-level courses on any manufacturing process
Author is a prominent teacher/researcher/consultant in the field
Includes end-of-chapter problems

Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications.