Introduction to Numerical Analysis

By J. Stoer, R. Bulirsch. 2002

3,346 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/11e67b6515a9de11b6991d0e1ed4acd548e264f0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. J. Thornburg
2. Jerrold E. Marsden
3. Christophe Prieur
4. Emmanuel Trélat
5. Raymond Holsapple
6. Georg Vossen
7. David B. Doman
8. Ram Venkataraman

In Statistical and Nonlinear Physics

1. Sina Ober-Blöbaum
2. Oliver Junge
3. J. Thornburg
4. Jerrold E. Marsden
5. Christophe Prieur
6. Emmanuel Trélat
7. Raymond Holsapple
8. Georg Vossen

Citations in the corpus

• A Fast Apparent‐Horizon Finder for 3‐Dimensional Cartesian Grids in Numerical Relativity (2003, methodology): “The basic multidimensional Newton-method algorithm is well known (see, for example, [ 47, section 5.3 ]), but several refinements are necessary for a practical AH finder.”
• Nonlinear Optimal Control via Occupation Measures and LMI-Relaxations (2007, methodology): “There exist many numerical methods to compute the solution of a given optimal control problem; for instance, multiple shooting techniques which solve two-point boundary value problems as described, e.g., in [ 42 , 36], or direct methods, as, e.g., in [43, 13, 15], which use, among others, descent or”