Allen Holder, Joseph Eichholz

An Introduction to Computational Science (eBook, PDF)

• Format: PDF

Produktbeschreibung

Completely up-to-date text designed to address the shortfalls of all existing texts available End-of-chapter problems throughout and online ancillaries available Authors based the pedagogy on their own experiences teaching the course¿

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 470
• Erscheinungstermin: 18. Juni 2019
• Englisch
• ISBN-13: 9783030156794
• Artikelnr.: 57625603

Autorenporträt

Allen Holder received his B.S. from the University of Southern Mississippi and his Ph.D. from the University of Colorado at Denver. He taught at Trinity University in San Antonio, Texas for nine years before joining Rose-Hulman. He is interested in mathematical programming and its applications in medicine, biology, and healthcare. Professor Holder's work on the optimal design of radiotherapy treatments won the 2000 Pierskalla Award, and he received Rose-Hulman's Outstanding Scholar Award in 2015. He has held several editorial positions and has published with numerous undergraduates. He is a longtime supporter of, and participant in, INFORMS.

Joseph Eichholz received his B.S. in Mathematics and Computer Science from Western Illinois University and his Ph.D. in Applied Mathematics and Computational Sciences from the University of Iowa. He is interested in numerical analysis, particularly with numerical solutions of partial differential equations and integral equations, as well as high performance computing. He has a special interest in applications associated with novel medical imaging techniques and contact mechanics.

Inhaltsangabe

Chapter 1. Solving Single Variable Equations.- Chapter 2. Solving Systems of Equations.- Chapter 3. Approximation.- Chapter 4. Optimization.- Chapter 5. Ordinary Di erential Equations.- Chapter 6. Stochastic Methods & Simulation.- Chapter 7. Computing Considerations.- Chapter 8. Modeling with Matrices.- Chapter 9. Modeling with Ordinary Di erential Equations.- Chapter 10. Modeling with Delayed Di erential Equations.- Chapter 11. Partial Di erential Equations.- Chapter 12. Modeling with Optimization and Simulation.- Chapter 13. Regression Modeling.- Appendix A.