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The book details mathematical techniques for chemical and other engineers. Many practical examples encountered by chemical (and other) engineers, modern approach involving multiple length and time scales, use of symbolic software (such as Mathematica) and combination of analytical methods with graphics are included. It may be used by graduate chemical (and other) engineering students as well as industrial practitioners and possibly specialists.
This text offers a unique balance of theory and a variety of standard and new applications along with solved technology-aided problems. The book includes the fundamental mathematical theory, as well as a wide range of applications, numerical methods, projects, and technology-assisted problems and solutions in Maple, Mathematica, and MATLAB. Some of the applications are new, some are unique, and some are discussed in an essay. There is a variety of exercises which include True/False questions, questions that require proofs, and questions that require computations. The goal is to provide the student with is a solid foundation of the mathematical theory and an appreciation of some of the important real-life applications. Emphasis is given on geometry, matrix transformations, orthogonality, and least-squares. Designed for maximum flexibility, it is written for a one-semester/two semester course at the sophomore or junior level for students of mathematics or science.
Nutrition remains the key to the successful treatment of diseases, in addition to the various evolved medical treatments across the world. The treatment outcome improves to a better extent with a degree of nourishment of the patients. Therapeutic Nutrition in Ayurveda (TNA) categorizes diseases system-wise and discusses nutrition with references from Ayurveda classics as well as publications from indexed journals in today’s world. This book emerges as a pilot project to discuss the clinical experiences directly and the concept of nutravigilance by experienced authors of respective specialties like hepatology, neurology, dermatology, ophthalmology, oncology, cardiology, gynecology, and so o...
Numerical methods are the mathematical procedures that approximate the solution of complex mathematical problems into much simpler form and which find a wide variety of use while solving complex Physical Chemistry problems. This book aims to aide in understanding of such numerical methods including solving complex differential equations and numerical differentiation & integration. Moreover it also explains various statistical tests used in Analytical Chemistry for data analysis. The author has tried to include as many example from Chemistry problems for a better understanding of the methods.
Follow step-by-step explanations to understand mathematical models – algebraic and differential equations – of chemical reactors and how numerical models workin computer implementation. Learn the basics behind current user-friendly tools in numerical simulation and optimization of reactor systems (Python, Matlab, Julia and gPROMS). Discover how to select the right algorithm for specific reactor models from homogenous to multiphase systems and structured reactors in detailed discussions at the end of each chapter. In this second edition, 20 solved example simulations performed in MATLAB and Python are included for demonstration purposes.
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