Practical Numerical Methods for Chemical Engineers: Using Excel with VBA, 3rd Edition

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9781502527400: Practical Numerical Methods for Chemical Engineers: Using Excel with VBA, 3rd Edition
Présentation de l'éditeur :

The **NEW** 3rd edition expands Practical Numerical Methods with more VBA & Excel programming to boost Excel's power for numerical modeling & analysis. Excel is the de facto computational tool used by engineers & scientists worldwide. Learn how to customize your Excel workbooks with VBA using the same powerful numerical techniques found in specialized math software.

Visit the book's companion web site to access the Excel & VBA files:


  1. The refined Excel PNM3Suite workbook with 120 VBA user-defined functions, macros & user forms for learning VBA & implementing advanced numerical techniques in Excel.
  2. Excel workbooks used to create the book's more than 200 practical examples demonstrating the power of the numerical methods in the book. Customize the examples & macros to tackle your own numerical problems using VBA in Excel.
  3. Hundreds of practice problems for self-guided study to sharpen your Excel & VBA skills.

The first chapter sets the stage for problem solving with numerical methods. The next two chapters cover frequently overlooked features of Excel & VBA for implementing numerical methods in Excel, as well as documenting results. The remaining chapters present powerful numerical techniques using Excel & VBA to find roots to algebraic equations, approximate derivatives, optimize, model data by least-squares regression & interpolation, analyze risk and uncertainty, solve integrals and ordinary & partial differential equations:

  1. Numerical Methods & Mathematical Modeling: expert problem solving
  2. Excel: Documentation, Graphing, Worksheet Functions, Input Validation & Formatting, What-if Analysis
  3. VBA: Editor and objects, Function & Sub Procedures, Data Types, Structured Programming, Arithmetic and Worksheet Functions, Flow Control, Arrays, Communication, Message & Input Boxes, User Forms, Reading/Writing Files, Debugging, Unit Conversions
  4. Linear Equations: Matrix Algebra, Gaussian Elimination and Crout Reduction with Pivoting, Thomas, Cholesky, Power, Jacobi, & Interpolation Methods for Eigenvalues & Eigenvectors, Jacobi & Gauss-Seidel Iteration, Relaxation
  5. Taylor Series Analysis: Finite Difference Derivative Approximation, Richardson's Extrapolation, Ridder's algorithm, Sensitivity
  6. Nonlinear Equations Root Finding: Methods of Bisection, Regula Falsi, Newton, Secant, Pade, Wegstein, Quasi-Newton, Aitkin/Steffensen, Homotopy, Bairstow (for polynomial roots), Goal Seek & Solver
  7. Optimization: Solver, Luus-Jaakola, Quadratic Interpolation, Golden Section, Powell, Firefly, Constraints, Scaling & Sensitivity
  8. Uncertainty & Risk Analysis: Law of Propagation, Monte Carlo Simulations with Latin Hypercube Sampling
  9. Least-squares Regression: Linear, Nonlinear, LINEST, Gauss-Newton, Levenberg-Marquardt, Validation and Assessment, Uncertainty Analysis, Weighted Regression
  10. Interpolation: Linear, Newton Divided Difference and Lagrange Polynomials, Rational, Bulirsh-Stoer Pade, Stineman, Cubic & Constrained Splines, Linear & Spline Bivariate Interpolation
  11. Integration: Graphical, Trapezoidal, Midpoint & transformation for Improper Integrals, Romberg, Adaptive Simpson & Gauss-Kronrod, Multiple Integrals by Simpson, Kronrod & Monte Carlo
  12. Initial-value Problems: Single Step Euler & Backward Euler, Implicit Trapezoidal for Stiffness, Variable Step Runge-Kutta Cash-Karp, Dormand-Prince, Multi-step Adams-Bashforth-Moulton, Differential-Algebraic Systems
  13. Boundary-value Problems & Partial Differential Equations: Shooting, Finite Difference, Orthogonal Collocation, Quasilinearization, Method of Lines, Crank-Nicholson
  14. Review: Reference Tables of Excel & VBA Functions, User-defined Functions, Macros, User Forms
  15. Primer on chemical reaction engineering

Biographie de l'auteur :

Richard Davis is the Jean G. Blehart Distinguished Professor of Chemical Engineering at the University of Minnesota Duluth.

Professor Davis received his Ph.D. and B.S. degrees in Chemical Engineering from the University of California Santa Barbara and Brigham Young University. He has over two decades experience teaching a variety of courses including computational methods, unit operations of momentum, heat and mass transfer, chemical reactor design, engineering economics, bioprocess engineering, green engineering, and separations.

His current teaching and research interests include process modeling and simulation applied to mineral processing, energy conversion, pollution control, chemical process safety, and environmental management. He publishes regularly in both technical and educational journals.Professor Davis serves as the Executive Secretary for the National Chemical Engineering Honor Society Omega Chi Epsilon, and is active in AIChE and ASEE. He is the academic adviser to the local engineering student chapters of Tau Beta Pi, Omega Chi Epsilon, and the Society for Mining, Metallurgy, and Exploration.

He is the recipient of the University’s Outstanding Adviser and Exceptional Teaching awards.

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Richard A Davis
Edité par CreateSpace Independent Publishing Platform (2014)
ISBN 10 : 1502527405 ISBN 13 : 9781502527400
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Description du livre CreateSpace Independent Publishing Platform, 2014. Paperback. État : Brand New. 3rd edition. 600 pages. 11.00x8.50x1.36 inches. This item is printed on demand. N° de réf. du libraire zk1502527405

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Frais de port : EUR 6,74
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