Practical Numerical Methods for Chemical Engineers: Using Excel with VBA, 2nd Edition

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9781482070125: Practical Numerical Methods for Chemical Engineers: Using Excel with VBA, 2nd Edition

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About the Author:

Richard Davis is a Jean G. Blehart Distinguished Professor of Chemical Engineering at the University of Minnesota Duluth. His research and teaching interests include process modeling, simulation, and optimization.

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Descripción Createspace, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book ***** Print on Demand *****. There is a newer edition of this book. Go to: // rdavis/PNM/PNMExcelVBA3/ for details about the latest edition of this popular book with updated and expanded coverage of Practical Numerical Methods using Excel with VBA. Nº de ref. de la librería APC9781482070125

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Descripción CreateSpace Independent Publishing Platform. Paperback. Estado de conservación: New. This item is printed on demand. Paperback. 608 pages. Dimensions: 11.0in. x 8.5in. x 1.4in.This expanded second edition of Practical Numerical Methods introduces even more computational techniques for solving problems in Excel. Engineers and scientists will find the coverage of numerical methods applicable to a wide variety of problems in their own disciplines. The selection of software for implementing numerical methods reflects the current status of Excel as the de facto standard computational tool used by practicing engineers. Engineers and scientists should become proficient at extending Excels capabilities with Visual Basic for Applications (VBA) programs to boost their Excel worksheets with time saving enhancements and powerful numerical techniques. The coverage of topics includes an introduction to modeling, the basics of Excel and VBA programming, root-finding for linear and nonlinear systems of equations, multivariate optimization, experimental uncertainty propagation and analysis, linear and non-linear least-squares regression and model validation, interpolation, integration, and ordinary and partial differential equations. A companion web site has links to digital files for downloading over 170 illustrations and examples and more than 60 VBA user-defined functions and macros for advanced numerical techniques. Practice problems are also available from the web site (http: www. d. umn. edurdavisPNMPNMExcelVBA2). Example files and macros may be modified by the user to solve new problems. The first chapter includes a brief introduction to chemical reaction engineering that provides some background needed for problems involving mass and energy balances with reactions. The next two chapters introduce frequently overlooked features of Excel and VBA programming for applying numerical methods in Excel, as well as documenting results (versions Excel 2007, 2010, 2013 and higher) The remaining chapters present powerful numerical techniques using Excel and VBA, including: General Methods: Wichmann-Hill pseudo-random number generation, Heap Sorting, formula plotting and evaluation, Random Sampling Roots of Linear Equations: Gaussian Elimination, Crout Reduction, Thompson for tridiagonal matrices, Cholesky for symmetric matrices, Matrix algebra, Jacobi and Gauss-Seidel Iteration, Steffensons method Roots of Nonlinear Equations: Fixed-Point Ordinary Iteration (Successive Substitution), Bisection, Secant, Regula Falsi, Newton and Quasi-Newton, Continuation (homotopy), Goal Seek, Solver, Bairstows method for polynomials Derivative Approximation: Finite Difference, Richardsons extrapolation, Jacobian, Sensitivity Analysis, Lagrange polynomials, piecewise polynomial Splines Uncertainty Analysis: Jitter method for the Law of Propagation of Uncertainty, Monte Carlo with Latin-Hypercube sampling, Jackknife for regression parameter uncertainty Optimization: Graphical, Quadratic with acceleration, Powell, Golden Section, Luus-Jaakola, Solver (for linear and nonlinear programming), Parameter Scaling Least-squares Regression: multivariate linear models, Gauss-Newton and Levenberg-Marquardt for nonlinear models parameters, Solver, Optimization methods, Rational functions Interpolation: Linear, Newton Divided Difference, La Grange, Rational, Stineman, Cubic Spline, Constrained Splines, basic Data Smoothing Integration: Trapezoidal, Midpoint, Romberg, Simpson, Adaptive Gauss-Kronrod, Splines, multiple integration with Kronrod and Monte Carlo methods Initial-Value ODEs: Taylor Series methods, Single step Euler, implicit Trapezoid for stiff problems, Modified Euler, Fourth-order Runge-Kutta, Cash-Karp, Merson, Fehlberg, Dormand-Prince, Adams-Bashforth-Moulton multistep methods Boundary Value ODEs and PDEs: Shooting, Finite Difference, Collocation on Finite Elements, Method of Lines, semi-implicit Crank-Nicholson methods Tables of Excel functions and VBA functions and macros for numerical met This item ships from La Vergne,TN. Paperback. Nº de ref. de la librería 9781482070125

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