Fundamentals Of Stochastic Models
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Fundamentals of Stochastic Models
Stochastic modeling is a set of quantitative techniques for analyzing practical systems with random factors. This area is highly technical and mainly developed by mathematicians. Most existing books are for those with extensive mathematical training; this book minimizes that need and makes the topics easily understandable. Fundamentals of Stochastic Models offers many practical examples and applications and bridges the gap between elementary stochastics process theory and advanced process theory. It addresses both performance evaluation and optimization of stochastic systems and covers different modern analysis techniques such as matrix analytical methods and diffusion and fluid limit methods. It goes on to explore the linkage between stochastic models, machine learning, and artificial intelligence, and discusses how to make use of intuitive approaches instead of traditional theoretical approaches. The goal is to minimize the mathematical background of readers that is required to understand the topics covered in this book. Thus, the book is appropriate for professionals and students in industrial engineering, business and economics, computer science, and applied mathematics.
Fundamentals of Stochastic Filtering
Author: Alan Bain
language: en
Publisher: Springer Science & Business Media
Release Date: 2008-10-08
This book provides a rigorous mathematical treatment of the non-linear stochastic filtering problem using modern methods. Particular emphasis is placed on the theoretical analysis of numerical methods for the solution of the filtering problem via particle methods. The book should provide sufficient background to enable study of the recent literature. While no prior knowledge of stochastic filtering is required, readers are assumed to be familiar with measure theory, probability theory and the basics of stochastic processes. Most of the technical results that are required are stated and proved in the appendices. Exercises and solutions are included.
6THINTERNATIONAL ENGINEERING AND TECHNOLOGY MANAGEMENT SUMMIT 2024
The 6th INTERNATIONAL ENGINEERING AND TECHNOLOGY MANAGEMENT SUMMIT (ETMS 2024), organized by Başkent University, was held in Ankara, Türkiye, from October 17-19, 2024. This year’s theme, “Engineering and Technology Management in Defense Industry,” provided a critical platform for discussing the challenges and opportunities in this rapidly evolving field. ETMS 2024 brought together researchers, professionals, and industry leaders to explore topics such as advanced weapon systems, surveillance technologies, and strategic infrastructure management. The summit examined the societal and environmental impacts of defense technologies while fostering innovative strategies to address emerging global security challenges. The event featured insightful keynote presentations, including: Prof. Beata Mrugalska (Poznan University of Technology, Poland), who discussed “Human Perspective on Sustainable Logistics 4.0: Trends, Challenges, Methods, and Best Practices.” Prof. Dr. Tuğrul Daim (Portland State University, USA), who explored “Policies for Emerging Technologies.” Prof. Dr. Markus A. Launer (Ostfalia University of Applied Sciences, Germany), who presented on “International Technology Management.” These distinguished speakers, alongside other esteemed participants, contributed to a vibrant exchange of ideas, addressing the evolving role of engineering and technology management in the defense sector. We extend our heartfelt gratitude to all contributors, including keynote and invited speakers, authors, session chairs, and the organizing committee, for their dedication to making ETMS 2024 a resounding success. This proceedings book includes the abstracts and extended abstracts presented at the summit, reflecting the diverse expertise and innovative approaches shared during the event. We hope it serves as a valuable resource for all those interested in advancing the fields of engineering and technology management.