Description
Research on the Anderson Acceleration (AA) has exploded in the last 15 years. This book brings together these recent fundamental results applied to nonlinear solvers for PDEs, which are ubiquitous across mathematics, science, engineering, and economics as predictive models for a vast quantity of important phenomena. Coverage includes:
The authors provide proofs of the main theorems and results of many of the test examples. Code for the test examples is provided in an online repository.
Audience
Anderson Acceleration for Numerical PDE is intended for mathematicians, scientists, and engineers who solve nonlinear problems when Newton's method either fails or is inefficient. Graduate students in applied mathematics and computational science will also find the book useful. It has sufficient theory and coding for use in a second-year graduate course.
About the Author
Sara Pollock is an Associate Professor of Mathematics at the University of Florida. She has a wide range of research interests relating to the development and analysis of efficient and accurate computational methods. Her most recent work has produced new fundamental results on acceleration methods for discretized nonlinear partial differential equations and for eigenvalue problems. She was recipient of the prestigious NSF CAREER award in 2021. In addition to mathematics she is also a classically trained artist. In her free time, she enjoys nature, gardening, cats - both wild and domestic - baking, and home improvement.
Leo Rebholz is Dean's Distinguished Professor of Mathematical Sciences at Clemson University. He works on numerical methods to solve partial differential equations, and his recent research has focused on improving nonlinear solvers through the development of acceleration methods and data assimilation techniques. He has published over 130 research papers and five books. Outside of mathematics and research, he enjoys golfing, boating, libations, billiards, and travel.
Book Information
ISBN 9781611978483
Author Sara Pollock
Format Paperback
Page Count 114
Imprint Society for Industrial & Applied Mathematics,U.S.
Publisher Society for Industrial & Applied Mathematics,U.S.
- AA convergence theory for both contractive and non-contractive operators,
- filtering techniques for AA, showing how the convergence theory can be fit to various application problems, and
- AA's effect on sublinear convergence, and
- how AA can be best combined with Newton's method.
The authors provide proofs of the main theorems and results of many of the test examples. Code for the test examples is provided in an online repository.
Audience
Anderson Acceleration for Numerical PDE is intended for mathematicians, scientists, and engineers who solve nonlinear problems when Newton's method either fails or is inefficient. Graduate students in applied mathematics and computational science will also find the book useful. It has sufficient theory and coding for use in a second-year graduate course.
About the Author
Sara Pollock is an Associate Professor of Mathematics at the University of Florida. She has a wide range of research interests relating to the development and analysis of efficient and accurate computational methods. Her most recent work has produced new fundamental results on acceleration methods for discretized nonlinear partial differential equations and for eigenvalue problems. She was recipient of the prestigious NSF CAREER award in 2021. In addition to mathematics she is also a classically trained artist. In her free time, she enjoys nature, gardening, cats - both wild and domestic - baking, and home improvement.
Leo Rebholz is Dean's Distinguished Professor of Mathematical Sciences at Clemson University. He works on numerical methods to solve partial differential equations, and his recent research has focused on improving nonlinear solvers through the development of acceleration methods and data assimilation techniques. He has published over 130 research papers and five books. Outside of mathematics and research, he enjoys golfing, boating, libations, billiards, and travel.
Book Information
ISBN 9781611978483
Author Sara Pollock
Format Paperback
Page Count 114
Imprint Society for Industrial & Applied Mathematics,U.S.
Publisher Society for Industrial & Applied Mathematics,U.S.
