SHINANO, Yuji, REHFELDT, Daniel und GALLY, Tristan M., 2019. An easy way to build parallel state-of-the-art combinatorial optimization problem solvers: A computational study on solving Steiner tree problems and mixed integer semidefinite programs by using ug[SCIP-*,*]-libraries. Berlin: Zuse Institute Berlin.
Elsevier - Harvard (with titles)Shinano, Y., Rehfeldt, D., Gally, T.M., 2019. An easy way to build parallel state-of-the-art combinatorial optimization problem solvers: A computational study on solving Steiner tree problems and mixed integer semidefinite programs by using ug[SCIP-*,*]-libraries, ZIB Report. Zuse Institute Berlin, Berlin.
American Psychological Association 7th editionShinano, Y., Rehfeldt, D., & Gally, T. M. (ca. 2019). An easy way to build parallel state-of-the-art combinatorial optimization problem solvers: A computational study on solving Steiner tree problems and mixed integer semidefinite programs by using ug[SCIP-*,*]-libraries [Cd]. In ZIB Report. Zuse Institute Berlin.
Springer - Basic (author-date)Shinano Y, Rehfeldt D, Gally TM (2019) An easy way to build parallel state-of-the-art combinatorial optimization problem solvers: A computational study on solving Steiner tree problems and mixed integer semidefinite programs by using ug[SCIP-*,*]-libraries. Zuse Institute Berlin, Berlin
Juristische Zitierweise (Stüber) (Deutsch)Shinano, Yuji/ Rehfeldt, Daniel/ Gally, Tristan M., An easy way to build parallel state-of-the-art combinatorial optimization problem solvers: A computational study on solving Steiner tree problems and mixed integer semidefinite programs by using ug[SCIP-*,*]-libraries, Berlin 2019.