The case studies illustrate mathematical modeling and algorithm design for problems in physics engineering epidemiology chemistry and biology for advanced undergraduates and beginning graduate students and scientists whose work involves numerical computing. Scientific computing with case studies has 3 ratings and 0 reviews this book is a practical guide to the numerical solution of linear and nonlinear equa. Additional notes exercises slides handouts and case studies provided without solutions solution manual for challenges in the book version dated january 2009 errata for the solution manual. This viewpoint frees us to explore many diverse applications of our tools and through such case studies we practice the analysis and experimentation that are the mainstays of computational science the reader should have background knowledge equivalent to a first course in scientific computing or numerical analysis. Scientific computing with case studies dianne p oleary society for industrial and applied mathematics this book is a practical guide to the numerical solution of linear and nonlinear equations differential equations optimization problems and eigenvalue problems
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