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This new edition expands Practical Numerical Methods with more VBA to boost Excel's power for numerical modeling and analysis. Visit the companion web site to access the book's Excel and VBA files, and learn how to customize your Excel workbooks with the same numerical techniques found in specialized math software.

www.d.umn.edu/~rdavis/PNM/PNMExcelVBA3

Download:

A refined macro-enabled Excel workbook with a suite of over 170 VBA user-defined functions, macros and user forms for learning VBA and implementing advanced numerical techniques in Excel.

More than 200 practical example and animation workbook files from the book that demonstrate the power of numerical methods. Customize the example files and macros to tackle your own problems using VBA in Excel.

Hundreds of practice problems for self-guided study to sharpen your Excel and VBA skills.

The first chapter sets the stage for problem solving with numerical methods. The next two chapters cover frequently overlooked features of Excel (2010, 2013 and later) and VBA for implementing numerical methods in Excel, as well as documenting results. The remaining chapters present powerful numerical techniques using Excel and VBA to find roots to algebraic equations, approximate derivatives, optimize, model data by least-squares regression and interpolation, analyze risk and uncertainty, solve integrals and ordinary and partial differential equations:

Numerical Methods & Mathematical Modeling: expert problem solving

Excel: Documentation, Graphing, Worksheet Functions, Input Validation and Formatting, What-if Analysis

VBA: Editor and objects, Function and Sub Procedures, Data Types, Structured Programming, Arithmetic and Worksheet Functions, Flow Control, Arrays, Communication, Message and Input Boxes, User Forms, Reading/Writing Files, Debugging, Unit Conversions

Linear Equations: Matrix Algebra, Gaussian Elimination and Crout Reduction with Pivoting, Thomas, Cholesky, Power, Jacobi, and Interpolation Methods for Eigenvalues and Eigenvectors, Jacobi and Gauss-Seidel Iteration, Relaxation

Taylor Series Analysis: Finite Difference Derivative Approximation, Richardson's Extrapolation, Ridder's algorithm, Sensitivity

Nonlinear Equations Root Finding: Methods of Bisection, Regula Falsi, Newton, Secant, Pade, Wegstein, Quasi-Newton, Aitkin/Steffensen, Homotopy, Bairstow (for polynomial roots), Goal Seek and Solver

Optimization: Solver, Luus-Jaakola, Quadratic, Golden Section, Powell, Downhill Simplex, Firefly, Constraints, Scaling and Sensitivity

Uncertainty and Risk Analysis: Bootstrap, Confidence Intervals, Law of Propagation, Monte Carlo Simulations with Latin Hypercube Sampling

Least-squares Regression: Linear, Nonlinear, LINEST, Gauss-Newton, Levenberg-Marquardt, Validation and Assessment, Uncertainty Analysis, Weighted Regression

Interpolation: Linear, Newton Divided Difference and Lagrange Polynomials, Rational, Bulirsh-Stoer Pade, Stineman, Cubic, B, Akima and Constrained Hermite Splines, Bivariate Interpolation

Integration: Graphical, Trapezoidal, Midpoint and transformation for Improper Integrals, Romberg, Adaptive Simpson and Gauss-Kronrod, Multiple Integrals by Simpson, Kronrod and Monte Carlo

Initial-value Problems: Single Step Euler and Backward Euler, Implicit Trapezoidal for Stiffness, Variable Step Runge-Kutta Cash-Karp, Dormand-Prince, Multi-step Adams-Bashforth-Moulton, Differential-Algebraic Systems

Boundary-value Problems and Partial Differential Equations: Shooting, Finite Difference, Orthogonal Collocation, Quasilinearization, Method of Lines, Crank-Nicholson

Review: Reference Tables of Excel and VBA Functions, User-defined Functions, Macros, User Forms

Primer on chemical reaction engineering

• Sales Rank: #1161532 in Books
• Published on: 2014-10-02
• Original language: English
• Dimensions: 11.00" h x 1.40" w x 8.50" l, 3.03 pounds
• Binding: Paperback
• 620 pages

About the Author

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

Professor Davis 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, bioprocessing and green engineering.

His current teaching and research interests include process modeling and simulation applied to mineral processing, energy conversion, air pollution control, chemical process safety, and environmental management.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.

Most helpful customer reviews

4 of 4 people found the following review helpful.
Significant Updates that Enhance the Coverage of Numerical Methods in Excel
By Avis D. Hedin
The author has added several new significant methods with VBA macros programmed to broaden the scope of coverage of numerical methods for linear and nonlinear root-finding, regression and interpolation, numerical integration, and ordinary/partial differential equations. I have used the book's macros and Excel worksheet tips to tackle several challenging problems using Excel as my numerical platform. It seems I no longer need to switch over to my other math software - now I can do it all in Excel! The versatile cspline and kspline and integration user functions alone make this book well worth the investment. But there is so much more, with many practical examples that walk you through the numerical methods and programming macros, functions, and forms in VBA. Thank you for an excellent book on Excel, VBA programming, and numerical methods.

4 of 4 people found the following review helpful.
Highly Recommended!
By Amazon Customer
A truly excellent textbook, I can't fault it. Easily the best source I have used for learning to use Excel and VBA, particularly for engineering problems. I am a practicing chemical engineer with some prior knowledge of computer programming at a beginner level.

See all 2 customer reviews...

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