Schiela, A. (2017) A flexible framework for cubic regularization algorithms for non-convex optimization in function space [cd]. Bayreuth: Universität Bayreuth. doi:urn:nbn:de:bvb:703-epub-3895-1.
Chicago Manual of Style 17th edition (full note)Schiela, Anton. A flexible framework for cubic regularization algorithms for non-convex optimization in function space. Cd. Bayreuth: Universität Bayreuth, [2017?], Bayreuth: Universität Bayreuth, [2017?]. https://doi.org/urn:nbn:de:bvb:703-epub-3895-1.
American Psychological Association 7th editionSchiela, A. (ca. 2017). A flexible framework for cubic regularization algorithms for non-convex optimization in function space [Cd]. Universität Bayreuth. https://doi.org/urn:nbn:de:bvb:703-epub-3895-1
Modern Language Association 9th editionSchiela, A. A flexible framework for cubic regularization algorithms for non-convex optimization in function space. cd, Universität Bayreuth, 2017, https://doi.org/urn:nbn:de:bvb:703-epub-3895-1.
ISO-690 (author-date, Deutsch)SCHIELA, Anton, 2017. A flexible framework for cubic regularization algorithms for non-convex optimization in function space. Bayreuth: Universität Bayreuth