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. Dianne p oleary is professor of computer science at the university of maryland college park and also holds an appointment in the universitys institute for advanced computer studies umiacs and in the applied mathematics and scientific computing program her research is in computational linear algebra and optimization with applications to . 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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