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. and SCHOUERY, Rafael C. S., 2024. Approximation Algorithms for the MAXSPACE Advertisement Problem. Theory of Computing Systems. 25 March 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, and R. C. S. Schouery. “Approximation Algorithms for the MAXSPACE Advertisement Problem”. Theory of Computing Systems, Mar. 2024, pp. 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. and Schouery, R.C.S. (2024), “Approximation Algorithms for the MAXSPACE Advertisement Problem”, Theory of Computing Systems, pp. 1-20.

Warning: These citations may not always be 100% accurate.