- Gebundenes Buch
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing.
Andere Kunden interessierten sich auch für
- Joakim SundnesIntroduction to Scientific Programming with Python22,99 €
- Mark H. HolmesIntroduction to Scientific Computing and Data Analysis48,99 €
- Mark H. HolmesIntroduction to Scientific Computing and Data Analysis59,99 €
- Brad Eric HollisterA Concise Introduction to Scientific Visualization22,99 €
- Shubhabrata DattaMaterials Design Using Computational Intelligence Techniques219,99 €
- Philip S CosgriffWriting In-House Medical Device Software in Compliance with Eu, Uk, and Us Regulations130,99 €
- Juraj HromkovicAlgorithmic Adventures39,99 €
-
-
-
This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 458
- Erscheinungstermin: 16. September 2024
- Englisch
- Abmessung: 234mm x 156mm
- Gewicht: 453g
- ISBN-13: 9780367671914
- ISBN-10: 0367671913
- Artikelnr.: 70149668
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 458
- Erscheinungstermin: 16. September 2024
- Englisch
- Abmessung: 234mm x 156mm
- Gewicht: 453g
- ISBN-13: 9780367671914
- ISBN-10: 0367671913
- Artikelnr.: 70149668
Lubos Brieda holds a Ph.D. in Aerospace and Mechanical Aerospace Engineering from the George Washington University in Washington, D.C., USA and an M.Sc. in Aerospace and Ocean Engineering from Virginia Tech in Blacksburg, VA, USA. He is the president of Particle in Cell Consulting, LLC, Westlake Village, CA, USA, while also serving as a part time lecturer in the Department of Astronautical Engineering at University of Southern California, Los Angeles, CA. Dr. Brieda is the author of numerous simulation codes utilized by the aerospace and plasma modeling communities. Additionally, he maintains an online blog found at particleincell.com/blog focusing on scientific computing and since 2014 he has been teaching online courses on plasma simulations through his website. Joseph Wang is Professor of Astronautics and Aerospace and Mechanical Engineering at University of Southern California (USC). Prof. Wang received his Ph.D in Aeronautics and Astronautics from Massachusetts Institute of Technology in 1991. Prior to joining the faculty at USC in 2008, he had been a principal member of engineering staff at NASA's Jet Propulsion Laboratory, and on the aerospace engineering faculty at Virginia Tech. Prof. Wang conducts research in computational physics, space technology, and space and planetary sciences. He and his students have developed many computer simulation models utilizing particle-in-cell (PIC), Vlasov, and molecular dynamics simulation for first-principle based large-scale simulations in these areas. He has more than 300 publications. Prof. Wang can be contacted at josephjw@usc.edu. Robert Martin received his B.S. in Aerospace Engineering from Iowa State University and his M.S. and Ph.D in Computational Science, Mathematics, and Engineering focused on modeling non-equilibrium gas and plasma at the University of California, San Diego. He joined the Air Force Research Laboratory (AFRL) In-Space Propulsion branch in 2011 leading the development of a new multiscale/multiphysics modeling framework for spacecraft plasma. He joined the Army Research Office to run the Modeling of Complex Systems Program in 2021.
Chapter 1: Scientific Computing Basics. Chapter 2: Finite Difference and
Linear Algebra. Chapter 3: Numerical Analysis. Chapter 4: Introduction to
C++. Chapter 5: Kinetic Methods. Chapter 6: Eulerian Methods. Chapter 7:
Interactive Applications. Chapter 8: Software Engineering. Chapter 9: High
Performance Computing. Chapter 10: Optimization and Machine Learning.
Chapter 11: Embedded Systems. Appendix A: Fortran 77 Syntax. References.
Linear Algebra. Chapter 3: Numerical Analysis. Chapter 4: Introduction to
C++. Chapter 5: Kinetic Methods. Chapter 6: Eulerian Methods. Chapter 7:
Interactive Applications. Chapter 8: Software Engineering. Chapter 9: High
Performance Computing. Chapter 10: Optimization and Machine Learning.
Chapter 11: Embedded Systems. Appendix A: Fortran 77 Syntax. References.
Chapter 1: Scientific Computing Basics. Chapter 2: Finite Difference and
Linear Algebra. Chapter 3: Numerical Analysis. Chapter 4: Introduction to
C++. Chapter 5: Kinetic Methods. Chapter 6: Eulerian Methods. Chapter 7:
Interactive Applications. Chapter 8: Software Engineering. Chapter 9: High
Performance Computing. Chapter 10: Optimization and Machine Learning.
Chapter 11: Embedded Systems. Appendix A: Fortran 77 Syntax. References.
Linear Algebra. Chapter 3: Numerical Analysis. Chapter 4: Introduction to
C++. Chapter 5: Kinetic Methods. Chapter 6: Eulerian Methods. Chapter 7:
Interactive Applications. Chapter 8: Software Engineering. Chapter 9: High
Performance Computing. Chapter 10: Optimization and Machine Learning.
Chapter 11: Embedded Systems. Appendix A: Fortran 77 Syntax. References.