Stochastic root finding via retrospective approximation

By Huifen Chen, Bruce W. Schmeiser. 2001

84 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/570f1db24ee92d3673106d27625870ff89891991

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. Tito Homem-de-Mello
2. Güzin Bayraksan

In Management Science and Operations Research

1. Tito Homem-de-Mello
2. Güzin Bayraksan
3. Emily L. Tucker
4. Karmel S. Shehadeh

In Statistics and Probability

1. Tito Homem-de-Mello
2. Güzin Bayraksan

Citations in the corpus

• Monte Carlo sampling-based methods for stochastic optimization (2014, methodology): “The latter is the principle behind the Retrospective Approximation method originally proposed by Chen and Schmeiser [44] and further developed in Pasupathy and Schmeiser [185], although these papers study the method in the context of root-finding problems.”