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Mathematics · Source-linked note

Robbins and Monro: stochastic approximation

Gave a sequential experimental method for approaching the root of an unknown monotone response function using noisy observations.

What is recorded here?

Gave a sequential experimental method for approaching the root of an unknown monotone response function using noisy observations.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

This is the 1951 procedure and its convergence-in-probability result under stated conditions. Modern stochastic-gradient variants are separate.

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People and systems

Herbert Robbins; Sutton Monro

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

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Documented countries / regions: United States

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English catalogue narrative

Robbins and Monro: stochastic approximation

Gave a sequential experimental method for approaching the root of an unknown monotone response function using noisy observations.

Scientific scope

This is the 1951 procedure and its convergence-in-probability result under stated conditions. Modern stochastic-gradient variants are separate.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Herbert Robbins; Sutton Monro

The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.

Original sources