Kindly note that we have put a lot of effort into researching the best books on Mathematical and Statistical Methods In Chemical Engineering 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 "Mathematical and Statistical Methods In Chemical Engineering" 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. “Applied Mathematics and Modeling for Chemical Engineers” by Rice R G
“Applied Mathematics and Modeling for Chemical Engineers” Book Review: The book blends concepts of classical analysis and modernday applications. It is apt for students of chemical engineering. It begins by introducing concepts of model building stage before diving into traditional techniques employed in ordinary differential equations. Solution methods like perturbation and fundamental numerical solutions are also explained. Analytical methods of different finiteclass difference equations are listed. The last section of the book entails concepts of partial differential equations and numerical solutions.


2. “Modern Advanced Mathematics for Engineers” by Mitin V V
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Book Review: This book is very suitable for chemical engineers and enables them to apply mathematical techniques to solve practical problems. The book also provides many methods for solving ordinary differential equations and also provides analytical methods to solve finite difference equations. The book also provides techniques for solving partial differential equations from older methods to finite transforms. The book contains numerous problems that provide step by step explanation for solving the problems. This book is suitable for chemical engineering students as well as professionals involved in the field.


3. “Mathematical Methods in Chemical Engineering” by Amundson N R
Book Review: This book is penned by engineers and is very suitable for engineers and covers almost all the aspects of modern applied mathematics. The book mainly focuses on the basic concepts rather than lengthy theorems and proofs. The book also contains many exercises that demonstrate topics like calculus, determinants, differential equations and complex variables.


4. “Partial Differential Equations” by Duchateau P and Zachmann D W
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“Partial Differential Equations” Book Review: The book in discussion covers all the facets of partial differential equations. It is prescribed for students interested in applied mathematics. Differential and difference methods are explained clearly. Concepts of formulation of boundary value problems and variation approximation methods are elucidated. The reader can find several worked problems throughout the text that aid the concepts of the book. It describes partial differential equations in both mathematical and scientific points of view helping students understand the concepts better.


5. “Partial Differential Equations” by Carrier G F and Pearson C E
“Partial Differential Equations” Book Review: The book presents concepts of partial differential equations. Students of applied mathematics can access this book. Various concepts of partial differential equations such as formal definitions, notational conventions, and a systematic discussion are covered. Emphasis is laid on classical secondorder equations of diffusion, wave motion concepts. Subsequent chapters focus on Green’s functions, eigenvalue problems, practical approximation techniques. A few other topics included are: firstorder linear, quasilinear equations, potential theory, perturbations, difference equations, and numerical methods.


6. “Nonlinear Ordinary Differential Equations” by Jordan D W and Smith P
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“Nonlinear Ordinary Differential Equations” Book Review: The updated and revised 4th edition of the book incorporates more problems and exercise than before. It is recommended to students and instructors of engineering, mathematics and sciences. Key topics of differential equations such as phase plane analysis, nonlinear damping, small parameter expansions are covered. The reader can find a plethora of worked examples, diagrams and hundreds of end of chapter problems. Other topics described are: phase plane analysis, nonlinear damping, small parameter expansions.


7. “Numerical Methods for Chemical Engineering” by J Beers
“Numerical Methods for Chemical Engineering” Book Review: The book covers mathematical concepts needed in the field of chemical engineering. It is prescribed for a lower level graduate student. The book starts with an introduction to linear and nonlinear algebraic systems before describing Bayesian statistics and parameter estimation. The book is written with limited mathematical prerequisites without dwelling into complex theoretical analytics. Readers can find the numerical methods implemented using MATLAB in every chapter along with various examples and applications to chemical engineering.


8. “Statistical Methods in Software Engineering” by Nozer D Singpurwalla
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“Statistical Methods in Software Engineering” Book Review: The book in discussion covers a variety of topics related to software engineering. It is prescribed by working software engineers, students of higher level graduation courses in software engineering, computer science. Uncertainties and quantitative measures of decision making in the domain of software are explained. Probability and statistics are prerequisites for anybody referring to this text.


9. “Probability, Reliability, and Statistical Methods in Engineering Design” by Haldar Mahadevan
“Probability, Reliability, and Statistical Methods in Engineering Design” Book Review: The main idea of the book is product reliability. The book can be accessed by practitioners and students of the field alike. The tools of reliability and statistics needed for analysis and design of riskbased engineering are elucidated. It covers the mathematical concepts used in reliability assessments. The book also lists the popular methods of reliability assessment. Both riskbased and deterministic design concepts are explained covering both traditional and modern methods.


10. “State of the Art in Global Optimization” by P M Pardalos Professor Of Chemical Engineering
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“State of the Art in Global Optimization” Book Review: The book talks about global optimization and its applications. It is prescribed for researchers of the field. The book is a collaboration of various research papers presented at the conference on “State of the Art in Global Optimization: Computational Methods and Applications” held at Princeton university, 1995. The papers presented cover problems and challenges faced globally in optimization. It also illustrates the applications of global optimization.


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