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/

Zendy Plus

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

Zendy Tools

Zendy Open

In the framework of abstract linear inverse problems in infinitedimensionalHilbert space we discuss generic convergence behaviours of approximatesolutions determined by means of general projection methods, namely outside thestandard assumptions of Petrov-Galerkin truncation schemes. This includes adiscussion of the mechanisms why the error or the residual generically fail tovanish in norm, and the identification of practically plausible sufficientconditions for such indicators to be small in some weaker sense. Thepresentation is based on theoretical results together with a series of modelexamples and numerical tests.

On general convergence behaviours of finite-dimensional approximants for abstract linear inverse problems