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Variant construction from theoretica...

Zheng, Jeffrey.

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Variant construction from theoretical foundation to applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Variant construction from theoretical foundation to applications/ edited by Jeffrey Zheng.
其他作者:	Zheng, Jeffrey.
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xxiv, 409 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Variant Logic -- Variant Measurement -- Variant Map -- Variation with Global Functions -- Variant Stream Ciphers -- Quantum Interferences -- Classical/Quantum Cryptographic Sequences -- Whole DNA Sequences -- Multiple Valued Pulse Sequences -- Conclusion -- Bibliography -- Index.
Contained By:	Springer eBooks
標題:	Analysis of variance. -
電子資源:	https://doi.org/10.1007/978-981-13-2282-2
ISBN:	9789811322822

Variant construction from theoretical foundation to applications
Variant construction from theoretical foundation to applications[electronic resource] /edited by Jeffrey Zheng. - Singapore :Springer Singapore :2019. - xxiv, 409 p. :ill. (some col.), digital ;24 cm.

Introduction -- Variant Logic -- Variant Measurement -- Variant Map -- Variation with Global Functions -- Variant Stream Ciphers -- Quantum Interferences -- Classical/Quantum Cryptographic Sequences -- Whole DNA Sequences -- Multiple Valued Pulse Sequences -- Conclusion -- Bibliography -- Index.

Open access.

This open access book presents theoretical framework and sample applications of variant construction. The first part includes the components variant logic, variant measurements, and variant maps, while the second part covers sample applications such as variation with functions, variant stream ciphers, quantum interference, classical/quantum random sequences, whole DNA sequences, and multiple-valued pulse sequences. Addressing topics ranging from logic and measuring foundation to typical applications and including various illustrated maps, it is a valuable guide for theoretical researchers in discrete mathematics; computing-, quantum- and communication scientists; big data engineers; as well as graduate and upper undergraduate students.

ISBN: 9789811322822

Standard No.: 10.1007/978-981-13-2282-2doiSubjects--Topical Terms:

516400
Analysis of variance.

LC Class. No.: QA279 / .V375 2019

Dewey Class. No.: 519.538

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