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Flow Dynamics and Heat Transfer
This book serves as a comprehensive guide to the fundamental and advanced principles of flow dynamics and heat transfer, emphasizing computational techniques, numerical simulations, and real-world applications. Designed for researchers, engineers, and students, this book bridges theoretical foundations with modern computational and experimental methodologies to address contemporary challenges in fluid flow and heat transfer. Exploring a wide range of topics, from compressible and non-Newtonian fluid flow to microscale and nanoscale heat transfer mechanisms, the book provides insights into emerging technologies and optimization strategies. Readers will gain valuable knowledge on industrial applications, including turbine cooling, nanofluid-based heat exchangers, and AI-driven predictive modeling for thermal systems. An essential reference for professionals and academics, this book equips readers with the knowledge and computational tools needed to solve complex fluid flow and heat transfer challenges across diverse engineering disciplines.
Analytical Decision Making and Data Envelopment Analysis
This book explores the intersection of data envelopment analysis (DEA) and various analytical decision-making methodologies. Featuring contributions from experts in the field from across the world, each chapter delves into different aspects of DEA and its applications in real-world scenarios. The book covers a wide range of topics, including integrating DEA with machine learning techniques, performance evaluation in diverse sectors like banking and civil engineering, and using DEA in managerial decision-making. It also examines data mining during the Covid-19 pandemic and the application of blockchain and IoT in supply chain management. The book offers a deep dive into the evolution of nonpa...
Using Blockchain Technology in Healthcare Settings
This book looks at the integration of blockchain technology in healthcare settings, focusing on its potential to address security and privacy concerns of medical applications. From fragmented electronic health records (EHRs) to data breaches and interoperability issues, innovative solutions are necessary to unlock the full potential of health information and prevent the recurrence of such issues. Blockchain offers a promising framework for addressing these challenges. Its decentralized, tamper-resistant nature holds the key to building trust and transparency in healthcare data management. By leveraging blockchain technology, secure, interoperable systems empower patients to take control of t...
Mathematical Methods in Dynamical Systems
The art of applying mathematics to real-world dynamical problems such as structural dynamics, fluid dynamics, wave dynamics, robot dynamics, etc. can be extremely challenging. Various aspects of mathematical modelling that may include deterministic or uncertain (fuzzy, interval, or stochastic) scenarios, along with integer or fractional order, are vital to understanding these dynamical systems. Mathematical Methods in Dynamical Systems offers problem-solving techniques and includes different analytical, semi-analytical, numerical, and machine intelligence methods for finding exact and/or approximate solutions of governing equations arising in dynamical systems. It provides a singular source of computationally efficient methods to investigate these systems and includes coverage of various industrial applications in a simple yet comprehensive way.
Mathematical Methods in Interdisciplinary Sciences
Brings mathematics to bear on your real-world, scientific problems Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics. The book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include: Structural static and vibration problems Heat conduction and diffusion problems Fluid dynamics problems The book also covers topics as diverse as soft computing and machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.
The Scam That Shook a Nation
On 24 May 1971, based on a telephone call purportedly from Prime Minister Indira Gandhi and her secretary P.N. Haksar, the chief cashier at the Parliament Street branch of the State Bank of India handed over Rs 60 lakh to a stranger posing as the PM's courier. The money was supposedly meant for secret operations in East Pakistan. When the chief cashier approached the PMO for a receipt, he was told that neither Haksar nor the PM had given any such instructions. He had been duped. Within a few hours, the Delhi Police recovered the cash and caught the man responsible for the heist, a former army captain-Rustom Sohrab Nagarwala. Subsequent events-which included a botched police investigation, bungling by the lower judiciary, mysterious deaths of the accused and the principal investigator, and Indira Gandhi's inexplicable silence-led to the rise of several conspiracy theories. Based on police records, press reports, depositions before the Justice Jaganmohan Reddy Commission and its report, The Scam That Shook a Nation is the first authoritative work on the scam, its investigation and its afterlife as a study in political corruption.
Fundamentals of Optimization Techniques with Algorithms
Optimization is a key concept in mathematics, computer science, and operations research, and is essential to the modeling of any system, playing an integral role in computer-aided design. Fundamentals of Optimization Techniques with Algorithms presents a complete package of various traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB© code optimization techniques, for linear and nonlinear single variable and multivariable models, as well as multi-objective and advanced optimization techniques. It presents both theoretical and numerical perspectives in a clear and approachable way. In order to help the reader apply optimization tech...
Science & Culture
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Interval Finite Element Method with MATLAB
Interval Finite Element Method with MATLAB provides a thorough introduction to an effective way of investigating problems involving uncertainty using computational modeling. The well-known and versatile Finite Element Method (FEM) is combined with the concept of interval uncertainties to develop the Interval Finite Element Method (IFEM). An interval or stochastic environment in parameters and variables is used in place of crisp ones to make the governing equations interval, thereby allowing modeling of the problem. The concept of interval uncertainties is systematically explained. Several examples are explored with IFEM using MATLAB on topics like spring mass, bar, truss and frame. - Provides a systematic approach to understanding the interval uncertainties caused by vague or imprecise data - Describes the interval finite element method in detail - Gives step-by-step instructions for how to use MATLAB code for IFEM - Provides a range of examples of IFEM in use, with accompanying MATLAB codes
Dataquest
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