Mathematical Modeling and Computation of Real-Time Problems: An Interdisciplinary Approach

An Interdisciplinary Approach to Real-Time Problems

Mathematical modeling is both an art and a science. This edited collection, put together by four experts with diverse backgrounds, demonstrates how mathematical techniques can be applied to real-time systems across operations research, soft computing, and statistics. The book offers a rich platform for understanding, solving, and extending models that address practical challenges.

What the Book Covers

The 15 chapters are organized into three parts:

• Operations Research Models: Queueing systems, vacation models, retrial queues, fault-tolerant systems, and supply chain optimization.
• Soft Computing Models: Fuzzy AHP, clustering, genetic algorithms, and knapsack problems.
• Statistical Models: Efficient estimators, flood damage assessment using satellite data, and GPS-based studies of plate motion.

Key Themes and Methods

Across the chapters, you’ll encounter a variety of methodologies, including Markov processes, simulation, optimization, fuzzy logic, and statistical inference. The authors provide detailed numerical examples and case studies, making the material accessible and applicable. The interdisciplinary nature of the book means that ideas from one area often inform another, highlighting the versatility of mathematical modeling.

Who Will Find It Useful

This book is aimed at researchers, graduate students, and practitioners in applied mathematics, operations research, industrial engineering, statistics, and computer science. Whether you are looking to deepen your understanding of queueing theory, explore soft computing techniques, or apply statistical methods to real-world data, the collection offers valuable insights and practical guidance.

Why It Matters

Real-time problems require models that are both rigorous and computationally feasible. By bringing together contributions from different mathematical disciplines, this volume shows how complex systems can be analyzed and optimized. The case studies—ranging from e-waste management to earthquake risk assessment—illustrate the tangible impact of mathematical modeling on society and industry.

Inside the Book

Each chapter is self-contained, with clear explanations of the model, solution methodology, and results. The editors have ensured a coherent structure, making the book suitable for both cover-to-cover reading and targeted reference. Digital Delights is pleased to offer this essential resource for advanced study in mathematical modeling and computation.