Numerical Methods for Chemical Engineers with MatLab Applications

General Algorithm for the Software Developed in This Book. Programs on the website. 1. Numerical Solution of Nonlinear Equations. 2. Numerical Solution of Simultaneous Linear Algebraic Equations. 3. Finite Difference Methods and Interpolation. 4. Numerical Differentiation and Integration. 5. Numerical Solution of Ordinary Differential Equations. 6. Numerical Solution of Partial Differential Equations. 7. Linear and Nonlinear Regression Analysis. Appendix: Introduction to MATLAB. Index

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master Numerical Methods Using Matlab, Today's Leading Software For Problem Solving

this Complete Guide To Numerical Methods In Chemical Engineering Is The First To Take Full Advantage Of Matlab's Powerful Calculation Environment. Every Chapter Contains Several Examples Using General Matlab Functions That Implement The Method And Can Also Be Applied To Many Other Problems In The Same Category.

the Authors Begin By Introducing The Solution Of Nonlinear Equations Using Several Standard Approaches, Including Methods Of Successive Substitution And Linear Interpolation; The Wegstein Method, The Newton-raphson Method; The Eigenvalue Method; And Synthetic Division Algorithms. With These Fundamentals In Hand, They Move On To Simultaneous Linear Algebraic Equations, Covering Matrix And Vector Operations; Cramer's Rule; Gauss Methods; The Jacobi Method; And The Characteristic-value Problem. Additional Coverage Includes:

finite Difference Methods, And Interpolation Of Equally And Unequally Spaced Points

numerical Differentiation And Integration, Including Differentiation By Backward, Forward, And Central Finite Differences; Newton-cotes Formulas; And The Gauss Quadrature

two Detailed Chapters On Ordinary And Partial Differential Equations

linear And Nonlinear Regression Analyses, Including Least Squares, Estimated Vector Of Parameters, Method Of Steepest Descent, Gauss-newton Method, Marquardt Method, Newton Method, And Multiple Nonlinear Regression

the Numerical Methods Covered Here Represent Virtually All Of Those Commonly Used By Practicing Chemical Engineers. The Focus On Matlab Enables Readers To Accomplish More, With Less Complexity, Than Was Possible With Traditional Fortran. For Those Unfamiliar With Matlab, A Brief Introduction Is Provided As An Appendix.

the Accompanying Website Contains Matlab 5.0 (and Higher) Source Code For More Than 60 Examples, Methods, And Function Scripts Covered In The Book. These Programs Are Compatible With All Three Operating Systems: Windows(r), Macos(r), And Unix(r).

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a Textbook For A One-semester Graduate Or Advanced Undergraduate Course, Which Marks The Advanced Material In Each Chapter That Can Be Left Out Of An Undergraduate Course. Assumes A Working Knowledge Of The Computer Language, But Appends A Brief Introduction. Emphasizes The Derivation Of A Variety Of Numerical Methods And Their Application In Solving Chemical Engineering Problems. The Algorithms Encompass Linear And Nonlinear Algebraic Equations, Eigenvalue Problems, Finite Difference Methods, And Other Tools. The Cd-rom Can Run Under Any Of The Three Major Operating Systems, And Contains Matlab Source Code For Over 60 Examples From The Book. Annotation C. Book News, Inc., Portland, Or (booknews.com)

Master numerical methods using MATLAB, today's leading software for problem solving. This complete guide to numerical methods in chemical engineering is the first to take full advantage of MATLAB's powerful calculation environment. Every chapter contains several examples using general MATLAB functions that implement the method and can also be applied to many other problems in the same category. The authors begin by introducing the solution of nonlinear equations using several standard approaches, including methods of successive substitution and linear interpolation; the Wegstein method, the Newton-Raphson method; the Eigenvalue method; and synthetic division algorithms. With these fundamentals in hand, they move on to simultaneous linear algebraic equations, covering matrix and vector operations; Cramer's rule; Gauss methods; the Jacobi method; and the characteristic-value problem. Additional coverage includes: Finite difference methods, and interpolation of equally and unequally spaced points Numerical differentiation and integration, including differentiation by backward, forward, and central finite differences; Newton-Cotes formulas; and the Gauss Quadrature Two detailed chapters on ordinary and partial differential equations Linear and nonlinear regression analyses, including least squares, estimated vector of parameters, method of steepest descent, Gauss-Newton method, Marquardt Method, Newton Method, and multiple nonlinear regression The numerical methods covered here represent virtually all of those commonly used by practicing chemical engineers. The focus on MATLAB enables readers to accomplish more, with less complexity, than was possible with traditional FORTRAN. For those unfamiliar with MATLAB, a brief introduction is provided as an Appendix. Over 60+ MATLAB examples, methods, and function scripts are covered, and all of them are included on the book's CD 001.jpg......Page 1 002.jpg......Page 2 003.jpg......Page 3 004.jpg......Page 4 005.jpg......Page 5 006.jpg......Page 6 007.jpg......Page 7 008.jpg......Page 8 009.jpg......Page 9 010.jpg......Page 10 011.jpg......Page 11 012.jpg......Page 12 013.jpg......Page 13 014.jpg......Page 14 015.jpg......Page 15 016.jpg......Page 16 017.jpg......Page 17 018.jpg......Page 18 019.jpg......Page 19 020.jpg......Page 20 021.jpg......Page 21 022.jpg......Page 22 023.jpg......Page 23 024.jpg......Page 24 025.jpg......Page 25 Provides a complete guide to numerical methods in chemical engineering and takes full advantage of MATLAB's powerful calculation environment. Contains several examples using general MATLAB functions that implement the method and can also be applied to many other problems in the same category. CD-ROM included. DLC: Numerical analysis--Data processing. This is the first comprehensive guide to numerical methods in chemical engineering that takes full advantage of MATLAB's powerful calculation environment.