American Psychological Association 6th edition

Pedrosa, L. L. C., da Silva, M. R. C., & Schouery, R. C. S. (2024). Approximation Algorithms for the MAXSPACE Advertisement Problem. Theory of Computing Systems, 1-20. https://doi.org/10.1007/s00224-024-10170-2

ISO-690 (author-date, English)

PEDROSA, Lehilton L. C., DA SILVA, Mauro R. C. und SCHOUERY, Rafael C. S., 2024. Approximation Algorithms for the MAXSPACE Advertisement Problem. Theory of Computing Systems. 25 März 2024. P. 1-20. DOI 10.1007/s00224-024-10170-2.

Modern Language Association 9th edition

Pedrosa, L. L. C., M. R. C. da Silva, und R. C. S. Schouery. „Approximation Algorithms for the MAXSPACE Advertisement Problem“. Theory of Computing Systems, März 2024, S. 1-20, https://doi.org/10.1007/s00224-024-10170-2.

Mohr Siebeck - Recht (Deutsch - Österreich)

Pedrosa, Lehilton L. C./da Silva, Mauro R. C./Schouery, Rafael C. S.: Approximation Algorithms for the MAXSPACE Advertisement Problem, Theory of Computing Systems 2024, 1-20.

Emerald - Harvard

Pedrosa, L.L.C., da Silva, M.R.C. und Schouery, R.C.S. (2024), „Approximation Algorithms for the MAXSPACE Advertisement Problem“, Theory of Computing Systems, S. 1-20.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.