Problem Solving in Chemical and Biochemical Engineering with POLYMATH, Excel, and MATLAB (Anglais) Broché – 12 septembre 2007
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Description du produit
Présentation de l'éditeur
Problem Solving in Chemical and Biochemical Engineering with POLYMATH™, Excel, and MATLAB®, Second Edition, is a valuable resource and companion that integrates the use of numerical problem solving in the three most widely used software packages: POLYMATH, Microsoft Excel, and MATLAB. Recently developed POLYMATH capabilities allow the automatic creation of Excel spreadsheets and the generation of MATLAB code for problem solutions. Students and professional engineers will appreciate the ease with which problems can be entered into POLYMATH and then solved independently in all three software packages, while taking full advantage of the unique capabilities within each package. The book includes more than 170 problems requiring numerical solutions.
This greatly expanded and revised second edition includes new chapters on getting started with and using Excel and MATLAB. It also places special emphasis on biochemical engineering with a major chapter on the subject and with the integration of biochemical problems throughout the book.General Topics and Subject Areas, Organized by Chapter
- Introduction to Problem Solving with Mathematical Software Packages
- Basic Principles and Calculations
- Regression and Correlation of Data
- Introduction to Problem Solving with Excel
- Introduction to Problem Solving with MATLAB
- Advanced Problem-Solving Techniques
- Fluid Mechanics
- Heat Transfer
- Mass Transfer
- Chemical Reaction Engineering
- Phase Equilibrium and Distillation
- Process Dynamics and Control
- Biochemical Engineering
- Simultaneous Linear Equations
- Simultaneous Nonlinear Equations
- Linear, Multiple Linear, and Nonlinear Regressions with Statistical Analyses
- Partial Differential Equations (Using the Numerical Method of Lines)
- Curve Fitting by Polynomials with Statistical Analysis
- Simultaneous Ordinary Differential Equations (Including Problems Involving Stiff Systems, Differential-Algebraic Equations, and Parameter Estimation in Systems of Ordinary Differential Equations)
- Provides solved and partially solved problem files for all three software packages, plus additional materials
- Describes discounted purchase options for educational version of POLYMATH available to book purchasers
- Includes detailed, selected problem solutions in Maple™, Mathcad®, and Mathematica™
Biographie de l'auteur
Michael B. Cutlip is an emeritus professor in the Department of Chemical, Materials, and Biomolecular Engineering at the University of Connecticut. He is a coauthor of POLYMATH. His research interests include chemical and electrochemical reaction engineering.
Mordechai Shacham is the Benjamin H. Swig Professor in the Department of Chemical Engineering at the Ben-Gurion University of the Negev. He is a coauthor of POLYMATH . His research interests include analysis, modeling, regression of data, applied numerical methods, and prediction and consistency analysis of physical properties.
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Commentaires client les plus utiles sur Amazon.com
As is readily seen, this is a quite comprehensive list of topics in the undergraduate curriculum. The great thing about this book is that it describes , with examples, the use an excellent software package called POLYMATH which was developed by the authors for solving all the problems listed above. A student version - with some limits on problem size, and a professional version - with far wider limits - at a higher but still very modest price, are available at a nominal cost over the web. I have used the professional version of POLYMATH in my own work for several years with excellent success. The algorithms in the software package are of superior quality and have shown excellent convergence characteristics for a wide variety of tests that I have conducted for many of the problem types described above. The syntax is extremely easy to learn, when compared to many other packages, and is implemented in a very straightforward manner. Plenty of example problems are included with the software, so learning to adapt the package to solve your problem should be quite straightforward.
It is worth noting that AIChE's famous list of ten problems was solved very readily using POLYMATH. This is described in the paper " A COLLECTION OF TEN NUMERICAL PROBLEMS IN CHEMICAL ENGINEERING SOLVED BY VARIOUS MATHEMATICAL SOFTWARE PACKAGES", easily accessed on the internet.
For chemical engineering undergraduate (and even graduate) students, I think this is a truly outstanding approach to learning how to formulate and solve a large proportion of standard problems encountered in the typical curriculum. I think that instructors would find this an invaluable teaching tool.
I am a chemical engineer with 51 years of experience and have been active in math modeling, simulation, and numerical methods throughout. In my opinion, this book and the associated POLYMATH software should occupy a prominent place on every chemical engineer's desk. If you want a straightforward and easy-to-learn (but powerful) software package, this is an excellent choice to get started. The book is a highly readable and practical way to understand the use of the software, and contains valuable information on how things work inside. HIGHLY RECOMMENDED.
If you are hoping to learn programming, in particular MATLAB, this is not the textbook. MATLAB is used in almost all the chapters; unfortunately, the "method of lines" solutions are in POLYMATH.
Last, but not least; the price of the textbook is just perfect ($47) considering all the time you can save with this source of solved problems.