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

subject to the given constraints (2) and (3). (In expression (4), b, denotes the ith component of b and A, denotes the ith row of A.) The method is completely general in the sense that no restrictions are imposed on the ranks of the matrices A, C, and E, or on the signs of the elements of f. Furthermore, if no vector x satisfying (2) and (3) exists, the subroutine detects this and informs the user that the problem is infeasible. The algorithm can be used to solve the constrained 11 approximation problem. Suppose that data consisting of k points (t , y,) are to be approximated by a linear

Algorithm 552: Solution of the Constrained I 1 Linear Approximation Problem [F4]

Algorithm 552: Solution of the Constrained I ₁ Linear Approximation Problem [F4]