Best Reference Books – Stochastic Modelling of Materials

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We have compiled the list of Top 10 Best Reference Books on Stochastic Modelling of Materials subject. These books are used by students of top universities, institutes and colleges. Here is the full list of top 10 best books on Stochastic Modelling of Materials along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Stochastic Modelling of Materials subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Stochastic Modelling of Materials" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

1. “Heavy Traffic Analysis of Controlled Queueing and Communication Networks (Stochastic Modelling and Applied Probability)” by Harold Kushner

“Heavy Traffic Analysis of Controlled Queueing and Communication Networks (Stochastic Modelling and Applied Probability)” Book Review: This book is designed for the engineering students, researchers and scientists. It basically deals with the traffic analysis of controlled queueing and communication networks. It also explains the applications of stochastic networks for both controlled and uncontrolled systems. Different models on stochastic differential equations are also explained. The topics which are covered are scheduling, admissions control and polling. It also focuses on the converging methods, limit processes and ergodic problems.

2. “Modelling Stochastic Fibrous Materials with Mathematica® (Engineering Materials and Processes)” by William Wyatt Sampson

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“Modelling Stochastic Fibrous Materials with Mathematica® (Engineering Materials and Processes)” Book Review: This book is designed for the engineering students, researchers and scientists. It discusses the use of electrospun fibrous materials. It discusses the carbon fibrous materials in fuel cells. The structure of stochastic fibrous materials is also covered in this book. It also explains the techniques of statistical geometry and probabilistic modelling. It consists of solved examples, exercises and short questions at the end of the chapter.

3. “Fundamentals of Stochastic Filtering (Stochastic Modelling and Applied Probability)” by Alan Bain and Dan Crisan

“Fundamentals of Stochastic Filtering (Stochastic Modelling and Applied Probability)” Book Review: This book is designed for the engineering students, researchers and scientists. It discusses the treatment of the non-linear stochastic filtering problem. The theoretical analysis of numerical methods is also covered in this book. It also focuses on the measure theory, probability theory and the basics of stochastic processes. It consists of solved examples, exercises and short questions at the end of the chapter.

4. “Discrete-Time Markov Chains: Two-Time-Scale Methods and Applications (Stochastic Modelling and Applied Probability)” by G George Yin and Qing Zhang

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“Discrete-Time Markov Chains: Two-Time-Scale Methods and Applications (Stochastic Modelling and Applied Probability)” Book Review: This book is designed for the physicists, researchers, students and scientists. It discusses the two-time-scale markov chains in discrete time. It explains the applications in optimization, control of complex systems in manufacturing. Along with the theoretical portions it also covers the practical applications of the discrete time markov chains.It consists of solved examples, exercises and short questions at the end of the chapter.

5. “Controlled Markov Processes and Viscosity Solutions (Stochastic Modelling and Applied Probability)” by Wendell H Fleming and Halil Mete Soner

“Controlled Markov Processes and Viscosity Solutions (Stochastic Modelling and Applied Probability)” Book Review: This book is designed for the physicists, researchers, students and scientists. It covers the theory of viscosity solutions. It explains the introduction to optimal stochastic control for continuous time markov processes. It covers dynamic programming for deterministic optimal control problems. It focuses on the fundamental equation of dynamic programming. Along with the theoretical portions it also covers the practical applications of the markov processes. It also consists of solved examples, exercises and short questions at the end of the chapter.

6. “Stochastic Modelling and Filtering” by Alfredo Germani

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“Stochastic Modelling and Filtering” Book Review: This book is designed for the students, researchers and scientists. It basically focuses on stochastic modelling and filtering. It also discusses control and information science. Along with the theoretical portions it also covers the practical applications of the stochastic modelling and filtering. It consists of solved examples, exercises and short questions at the end of the chapter.

7. “Molecular Dynamics: With Deterministic and Stochastic Numerical Methods (Interdisciplinary Applied Mathematics)” by Ben Leimkuhler and Charles Matthews

“Molecular Dynamics: With Deterministic and Stochastic Numerical Methods (Interdisciplinary Applied Mathematics)” Book Review: This book is designed for the students, researchers and scientists. It basically deals with the molecular dynamics. It focuses on the algorithms used for molecular dynamics simulation. It also covers the understanding the foundations of numerical methods.It explains the basic theory of hamiltonian mechanics and stochastic differential equations. It consists of solved examples, exercises and short questions at the end of the chapter.

8. “Hybrid Switching Diffusions: Properties and Applications (Stochastic Modelling and Applied Probability)” by Chao Zhu and G George Yin

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“Hybrid Switching Diffusions: Properties and Applications (Stochastic Modelling and Applied Probability)” Book Review: This book is designed for the researchers, engineers, scientists. It discusses the development of regime-switching diffusions. The topics which are covered in this book are switching diffusion equations, ergodicity and two-time-scale processes. It basically deals with hybrid switching diffusions. It consists of solved examples, exercises and short questions at the end of the chapter.

9. “Turbulence in Fluids: Stochastic and Numerical Modelling (Mechanics of Fluids and Transport Processes)” by Marcel Lesieur

“Turbulence in Fluids: Stochastic and Numerical Modelling (Mechanics of Fluids and Transport Processes)” Book Review: This book is designed for the students of mechanical engineering, researchers and scientists. It explains the concepts of turbulence in fluids. It focuses on ocean dynamics and geostrophic theory. It covers the theories of fluid dynamics. It discusses the applications of the rotational fluid dynamics. It consists of solved examples, exercises and short questions at the end of the chapter.

10. “Stochastic Modeling of Microstructures (Modeling and Simulation in Science, Engineering and Technology)” by Kazimierz Sobczyk and David J Kirkner

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“Stochastic Modeling of Microstructures (Modeling and Simulation in Science, Engineering and Technology)” Book Review: This book is designed for the students, chemist, researchers and scientists. The topics which are covered are media microstructure, statistical inference and probability and random variables. It also explains the microstructural modeling and stochastic process. The practical applications of the stochastic modeling of microstructures is also covered. It consists of solved examples, exercises and short questions at the end of the chapter.

People who are searching for Free downloads of books and free pdf copies of these top 10 books on Stochastic Modelling of Materials – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on "Stochastic Modelling of Materials" so that one can readily see the list of top books on "Stochastic Modelling of Materials" and buy the books either online or offline.

If any more book needs to be added to the list of best books on Stochastic Modelling of Materials subject, please let us know.

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He is Linux Kernel Developer & SAN Architect and is passionate about competency developments in these areas. He lives in Bangalore and delivers focused training sessions to IT professionals in Linux Kernel, Linux Debugging, Linux Device Drivers, Linux Networking, Linux Storage, Advanced C Programming, SAN Storage Technologies, SCSI Internals & Storage Protocols such as iSCSI & Fiber Channel. Stay connected with him @ LinkedIn | Youtube | Instagram | Facebook | Twitter