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Numerical Symbolic And Statistical Computing For Chemical E


Numerical Symbolic And Statistical Computing For Chemical E
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Numerical Symbolic And Statistical Computing For Chemical Engineers Using Matlab


Numerical Symbolic And Statistical Computing For Chemical Engineers Using Matlab
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Author : Ghosh, Pallab
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2018-09-01

Numerical Symbolic And Statistical Computing For Chemical Engineers Using Matlab written by Ghosh, Pallab and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-01 with Mathematics categories.


Numerical, analytical and statistical computations are routine affairs for chemical engineers. They usually prefer a single software to solve their computational problems, and at present, MATLAB has emerged as a powerful computational language, which is preferably used for this purpose, due to its built-in functions and toolboxes. Considering the needs and convenience of the students, the author has made an attempt to write this book, which explains the various concepts of MATLAB in a systematic way and makes its readers proficient in using MATLAB for computing. It mainly focuses on the applications of MATLAB, rather than its use in programming basic numerical algorithms. Commencing with the introduction to MATLAB, the text covers vector and matrix computations, solution of linear and non-linear equations, differentiation and integration, and solution of ordinary and partial differential equations. Next, analytical computations using the Symbolic Math Toolbox and statistical computations using the Statistics and Machine Learning Toolbox are explained. Finally, the book describes various curve fitting techniques using the Curve Fitting Toolbox. Inclusion of all these advanced-level topics in the book stands it out from the rest. KEY FEATURES  Numerous worked-out examples to enable the readers understand the steps involved in solving the chemical engineering problems  MATLAB codes to explain the computational techniques  Several snapshots to help the readers understand the step-by-step procedures of using the toolboxes  Chapter-end exercises, including short-answer questions and numerical problems  Appendix comprising the definitions of some important and special matrices  Supplemented with Solutions Manual containing complete detailed solutions to the unsolved analytical problems  Accessibility of selected colour figures (including screenshots and results/outputs of the programs) cited in the text at www.phindia.com/Pallab_Ghosh. TARGET AUDIENCE • BE/B.Tech (Chemical Engineering) • ME/M.Tech (Chemical Engineering)



Numerical Symbolic And Statistical Computing For Chemical E


Numerical Symbolic And Statistical Computing For Chemical E
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Author : Pallab Ghosh
language : en
Publisher:
Release Date : 2018-10-30

Numerical Symbolic And Statistical Computing For Chemical E written by Pallab Ghosh and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with categories.




Numerical Methods For Chemical Engineering


Numerical Methods For Chemical Engineering
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Author : Kenneth J. Beers
language : en
Publisher: Cambridge University Press
Release Date : 2007

Numerical Methods For Chemical Engineering written by Kenneth J. Beers and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.


Applications of numerical mathematics and scientific computing to chemical engineering.



Artificial Intelligence In Chemical Engineering


Artificial Intelligence In Chemical Engineering
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Author : Thomas E. Quantrille
language : en
Publisher: Elsevier
Release Date : 2012-12-02

Artificial Intelligence In Chemical Engineering written by Thomas E. Quantrille and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-02 with Technology & Engineering categories.


Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. - Allows the reader to learn AI quickly using inexpensive personal computers - Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions - Includes a computer diskette for an illustrated case study - Demonstrates an expert system for separation synthesis (EXSEP) - Presents a detailed review of published literature on expert systems and neural networks in chemical engineering



A Guide To Statistical Methods And To The Pertinent Literature Literatur Zur Angewandten Statistik


A Guide To Statistical Methods And To The Pertinent Literature Literatur Zur Angewandten Statistik
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Author : Lothar Sachs
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

A Guide To Statistical Methods And To The Pertinent Literature Literatur Zur Angewandten Statistik written by Lothar Sachs and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


Readers of my books, students and scientists, often ask for spe cial references not commonly found in introductory or interme diate books on statistics. From the titles and contents of 1449 key papers and books which are listed and numbered in Sec tion 5, I have selected keywords and subject headings and ar ranged them alphabetically together with the numbers of perti nent references in Section 3. Number 1153, for instance, denotes my book" Applied Statis tics". It contains a bibliographical section on pages 568 to 641. Supplementary material is displayed in this small bibliographi cal guide. It also complements well-known textbooks of Box, Hunter and Hunter (No.121), Dixon and Massey (No.286), Snedecor and Cochran (No. 1238), and many recent competitors. Since the methodology of statistics is expanding rapidly, many methods are not considered at all or only introduced in the basic textbooks of statistics. There is a need for intermediate statistical methods concerned with increasingly complicated ap plications of statistics to actual research situations. Here the specification of terms helps to find some sources. Since the ref erences vary considerably in length and content, the number of culled or extracted terms per referenced page varies even more, as does also their degree of specialization; however in most cases an intermediate statistical level is maintained.



Neural Networks In Bioprocessing And Chemical Engineering


Neural Networks In Bioprocessing And Chemical Engineering
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Author : D. R. Baughman
language : en
Publisher: Academic Press
Release Date : 2014-06-28

Neural Networks In Bioprocessing And Chemical Engineering written by D. R. Baughman and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Science categories.


Neural networks have received a great deal of attention among scientists and engineers. In chemical engineering, neural computing has moved from pioneering projects toward mainstream industrial applications. This book introduces the fundamental principles of neural computing, and is the first to focus on its practical applications in bioprocessing and chemical engineering. Examples, problems, and 10 detailed case studies demonstrate how to develop, train, and apply neural networks. A disk containing input data files for all illustrative examples, case studies, and practice problems provides the opportunity for hands-on experience. An important goal of the book is to help the student or practitioner learn and implement neural networks quickly and inexpensively using commercially available, PC-based software tools. Detailed network specifications and training procedures are included for all neural network examples discussed in the book.Each chapter contains an introduction, chapter summary, references to further reading, practice problems, and a section on nomenclatureIncludes a PC-compatible disk containing input data files for examples, case studies, and practice problemsPresents 10 detailed case studiesContains an extensive glossary, explaining terminology used in neural network applications in science and engineeringProvides examples, problems, and ten detailed case studies of neural computing applications, including:Process fault-diagnosis of a chemical reactorLeonardKramer fault-classification problemProcess fault-diagnosis for an unsteady-state continuous stirred-tank reactor systemClassification of protein secondary-structure categoriesQuantitative prediction and regression analysis of complex chemical kineticsSoftware-based sensors for quantitative predictions of product compositions from flourescent spectra in bioprocessingQuality control and optimization of an autoclave curing process for manufacturing composite materialsPredictive modeling of an experimental batch fermentation processSupervisory control of the Tennessee Eastman plantwide control problemPredictive modeling and optimal design of extractive bioseparation in aqueous two-phase systems



Introduction To Chemical Engineering Analysis Using Mathematica


Introduction To Chemical Engineering Analysis Using Mathematica
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Author :
language : en
Publisher: Elsevier
Release Date : 2002-09-09

Introduction To Chemical Engineering Analysis Using Mathematica written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-09-09 with Technology & Engineering categories.


This book provides an introduction to chemical engineering analysis- which reviews the processes and designs used to manufacture, use, and dispose of chemical products-and to Mathematica, one of the most powerful mathematical software tools available for symbolic, numerical, and graphical computing. Analysis and computation are explained simultaneously. The book covers the core concepts of chemical engineering, ranging from the conservation of mass to chemical kinetics. At the same time the text shows how to use the latest version of Mathematica, from the basics of writing a few lines of code through developing entire analysis programs.



Applied Parallel Computing Computations In Physics Chemistry And Engineering Science


Applied Parallel Computing Computations In Physics Chemistry And Engineering Science
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Author : Jack Dongarra
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-02-27

Applied Parallel Computing Computations In Physics Chemistry And Engineering Science written by Jack Dongarra and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-02-27 with Computers categories.


This book presents the refereed proceedings of the Second International Workshop on Applied Parallel Computing in Physics, Chemistry and Engineering Science, PARA'95, held in Lyngby, Denmark, in August 1995. The 60 revised full papers included have been contributed by physicists, chemists, and engineers, as well as by computer scientists and mathematicians, and document the successful cooperation of different scientific communities in the booming area of computational science and high performance computing. Many widely-used numerical algorithms and their applications on parallel computers are treated in detail.



Chemical Engineering Education


Chemical Engineering Education
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Author :
language : en
Publisher:
Release Date : 1995

Chemical Engineering Education written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Chemical engineering categories.




Nbs Special Publication


Nbs Special Publication
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Author :
language : en
Publisher:
Release Date : 1968

Nbs Special Publication written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Weights and measures categories.