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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

where <p(h) represents the value of <p(x) at the point x = h, h — a, 1, 2, • • • , b, and the integral JJ+1 A(x) dx has been replaced by the approximation \l{A(h) + A(h + 1)). To obtain an approximate solution to equation (1) it is necessary, then, to solve the set of n + 1 simultaneous equations (2). This may conveniently be done by using the Relaxation technique.** 2. The residual and the relaxation operators. As a preliminary to solving, approximately, equations (2) it is necessary to construct two operators which, in the language of relaxation methods, are known as the residual operator and the relaxation operator respectively. Let it be supposed that by means of an inspired guess (or by some other means) approximate values have been obtained for all the <p(h). In general, the values will not be correct, i.e. will not satisfy equations (2), so that the error at each point is given by

The approximate numerical solution of the non-homogeneous linear Fredholm integral equation by relaxation methods