English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We develop and analyze stochastic inexact Gauss-Newton methods for nonlinearleast-squares problems and inexact Newton methods for nonlinear systems ofequations. Random models are formed using suitable sampling strategies for thematrices involved in the deterministic models. The analysis of the expectednumber of iterations needed in the worst case to achieve a desired level ofaccuracy in the first-order optimality condition provides guidelines forapplying sampling and enforcing, with fixed probability, a suitable accuracy inthe random approximations. Results of the numerical validation of thealgorithms are presented.

Inexact Newton methods with matrix approximation by sampling for nonlinear least-squares and systems