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

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

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Book description

This book covers an interdisciplinary approach for understanding mathematical modeling by offering a collection of models, solved problems related to the models, the methodologies employed, and the results using projects and case studies with insight into the operation of substantial real-time systems. The book covers a broad scope in the areas of statistical science, probability, stochastic processes, fluid dynamics, supply chain, optimization, and applications. It discusses advanced topics and the latest research findings, uses an interdisciplinary approach for real-time systems, offers a platform for integrated research, and identifies the gaps in the field for further research. The book is for researchers, students, and teachers that share a goal of learning advanced topics and the latest research in mathematical modeling.

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

Table of contents

Section I: Operations Research Models

Chapter 1. A Comparative Study of Vacation Models Under Various Vacation Policies

Chapter 2. Transient Analysis of M/M/1 Retrial Queue with Balking, Imperfect Service and Working Vacation

Chapter 3 .Finite Capacity Tandem Queueing Network with Reneging

Chapter 4. Transient Solution of Markov Model for Fault Tolerant System with Redundancy

Chapter 5. Performance Analysis of Markov Retrial Queueing Model under Admission Control F-Policy

Chapter 6. A Study on Geo/G/1 Retrial Queueing System with Starting Failure and Customer Feedback

Chapter 7. Application of Optimization and Statistical Techniques in Post-Harvest Supply Chain

Chapter 8. Prioritization of Barriers for E-Waste Management in India using Best Worst Method

Section II: Soft Computing Models

Chapter 9. Fuzzy Analysis of Batch Arrival Priority Queueing System with Balking

Chapter 10. Application of Fuzzy AHP Approach for Evaluation of Sustainable Energy Sources in India

Chapter 11. Fuzzy Based Evaluation of Optimal Service Time Using Execution / Communication Time and Clustering

Chapter 12. Solving Knapsack Problem with Genetic Algorithm Approach

Section III: Statistical Models

Chapter 13 .A Difference-Cum-Exponential Type Efficient Estimator of Population Mean

Chapter 14. A Study of After-Effects of Kerala Floods Using VIIRS-OLS Nighttime Light Data

Chapter 15. Indian Plate Motion Revealed by GPS Observations: Preliminary Results

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