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Applied Linear Analysis for Chemical Engineers

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This textbook gives a unified treatment of the solution of various linear equations that arise in science and engineering with examples. It is based on a course taught by the first author for over ...
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  • 31 December 2022
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This textbook gives a unified treatment of the solution of various linear equations that arise in science and engineering with examples. It is based on a course taught by the first author for over thirty years. Some unique features include:

  • Use of symbolic software for illustrating and enhancing the impact of physical parameter changes on solutions.
  • Multi-scale analysis of engineering problems with physical interpretation of time and length scales in terms of eigenvalues and eigenvectors/eigenfunctions.
  • Discussion of compartment models for various finite dimensional problems.
  • Evaluation and illustration of functions of matrices (and use of symbolic manipulation) to solve multi-component diffusion-convection-reaction problems.
  • Illustration of the techniques and interpretation of solutions to several classical engineering problems.
  • Emphasis on the connection between discrete (matrix algebra) and continuum.
  • Physical interpretation of adjoint operator and adjoint systems.
  • Use of complex analysis and algebra in the solution of practical engineering problems.
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Price: $124.99
Pages: 784
Publisher: De Gruyter
Imprint: De Gruyter
Series: De Gruyter Textbook
Publication Date: 31 December 2022
ISBN: 9783110739695
Format: Paperback
BISACs: MAT003000 MATHEMATICS / Applied, SCI000000 SCIENCE / General, TEC007000 Technology & Engineering / Electrical, TEC009000 Technology & Engineering / Engineering (General), TEC018000 Technology & Engineering / Industrial Technology
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Vemuri Balakotaiah

is a Professor of Chemical and Biomolecular Engineering and holds the Hugh Roy and Lillie Cranz Cullen Distinguished University Chair at the University of Houston.

Ram R. Ratnakar

is a Subject Matter Expert (Thermodynamics/PVT) and a Sr. Researcher in R&D Mathematics & Computation at Shell Int. E&P.