Excel with VBA
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This book was born when dynamic systems analyst Francis Hauser, PhD, discovered the power of this well-integrated programming platform. He realized how helpful this would have been to him as a student and as a practicing engineer and university teacher. He decided “this has got to be told.”From this book, the reader can expect to be writing computer programs using Microsoft Office Excel with VBA. This book defines and demonstrates VBA syntax incrementally using example programs that range from common math problems like finding roots of polynomials to more advanced problems like finding eigenvalues of general matrices using the QR algorithm.Example programs with complete code listings cover the following topics:Roots of polynomialsLinear algebraic equationsRunge-Kutta numerical integration3D object rotationNewton-Raphson for nonlinear equationsLinearizing equationsState variable form of equationsEigenvalues via the QR algorithmTransfer functions via the QR algorithmFrequency responseRoot locusDantzig’s Simplex AlgorithmDiscrete Fourier transformThese code listings are explained by in depth tutorials on the topics, and include checkout methods learned from experience. This guidebook will help you as an engineer, mathematician, or student using nothing more than the Microsoft Office suite that many are already familiar with. The book is for PCs and Macs.
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This book was born when dynamic systems analyst Francis Hauser, PhD, discovered the power of this well-integrated programming platform. He realized how helpful this would have been to him as a student and as a practicing engineer and university teacher. He decided “this has got to be told.”From this book, the reader can expect to be writing computer programs using Microsoft Office Excel with VBA. This book defines and demonstrates VBA syntax incrementally using example programs that range from common math problems like finding roots of polynomials to more advanced problems like finding eigenvalues of general matrices using the QR algorithm.Example programs with complete code listings cover the following topics:Roots of polynomialsLinear algebraic equationsRunge-Kutta numerical integration3D object rotationNewton-Raphson for nonlinear equationsLinearizing equationsState variable form of equationsEigenvalues via the QR algorithmTransfer functions via the QR algorithmFrequency responseRoot locusDantzig’s Simplex AlgorithmDiscrete Fourier transformThese code listings are explained by in depth tutorials on the topics, and include checkout methods learned from experience. This guidebook will help you as an engineer, mathematician, or student using nothing more than the Microsoft Office suite that many are already familiar with. The book is for PCs and Macs.
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