Reordering method and hierarchies for quantum and classical ordered binary decision diagrams

Kamil Khadiev; Aliya Khadieva

doi:10.1007/978-3-319-58747-9_16

Reordering method and hierarchies for quantum and classical ordered binary decision diagrams

Kamil Khadiev
, Aliya Khadieva

Latvijas Universitāte

Kazan Volga Region Federal University

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

27 Atsauces (Scopus)

Oriģinālvaloda	Angļu
Rīkotāja publikācijas nosaukums	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Lapas	162-175
Sējums	10304 LNCS
DOIs	https://doi.org/10.1007/978-3-319-58747-9_16
Publikācijas statuss	Publicēts - 2017

Publikāciju sērijas

Nosaukums	Lecture Notes in Computer Science ; Theoretical Computer Science and General Issues

OECD Zinātnes nozare

1.2 Datorzinātne un informātika

Piekļuve Dokumentiem

10.1007/978-3-319-58747-9_16

Citi faili un saites

https://arxiv.org/pdf/1703.00242.pdf

Citēt šo

Khadiev, K., & Khadieva, A. (2017). Reordering method and hierarchies for quantum and classical ordered binary decision diagrams. (gadā) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Sēj. 10304 LNCS, lpp. 162-175). (Lecture Notes in Computer Science ; Theoretical Computer Science and General Issues). https://doi.org/10.1007/978-3-319-58747-9_16

Khadiev, Kamil ; Khadieva, Aliya. / Reordering method and hierarchies for quantum and classical ordered binary decision diagrams. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Sēj. 10304 LNCS 2017. lpp. 162-175 (Lecture Notes in Computer Science ; Theoretical Computer Science and General Issues).

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title = "Reordering method and hierarchies for quantum and classical ordered binary decision diagrams",

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year = "2017",

doi = "10.1007/978-3-319-58747-9\_16",

language = "English",

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volume = "10304 LNCS",

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Khadiev, K & Khadieva, A 2017, Reordering method and hierarchies for quantum and classical ordered binary decision diagrams. (kur) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). sēj. 10304 LNCS, Lecture Notes in Computer Science ; Theoretical Computer Science and General Issues, lpp. 162-175. https://doi.org/10.1007/978-3-319-58747-9_16

Reordering method and hierarchies for quantum and classical ordered binary decision diagrams. / Khadiev, Kamil; Khadieva, Aliya.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Sēj. 10304 LNCS 2017. lpp. 162-175 (Lecture Notes in Computer Science ; Theoretical Computer Science and General Issues).

Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumā › Konferences zinātniskais raksts › Pētniecība › koleģiāli recenzēts

TY - GEN

T1 - Reordering method and hierarchies for quantum and classical ordered binary decision diagrams

AU - Khadiev, Kamil

AU - Khadieva, Aliya

PY - 2017

Y1 - 2017

UR - https://arxiv.org/pdf/1703.00242.pdf

U2 - 10.1007/978-3-319-58747-9_16

DO - 10.1007/978-3-319-58747-9_16

M3 - Conference paper

SN - 9783319587462

VL - 10304 LNCS

T3 - Lecture Notes in Computer Science ; Theoretical Computer Science and General Issues

SP - 162

EP - 175

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Khadiev K, Khadieva A. Reordering method and hierarchies for quantum and classical ordered binary decision diagrams. (gadā) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Sēj. 10304 LNCS. 2017. lpp. 162-175. (Lecture Notes in Computer Science ; Theoretical Computer Science and General Issues). doi: 10.1007/978-3-319-58747-9_16