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Knygos.lt nariams
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- Autorius: Jeffrey Zheng
- Leidėjas: Saint Philip Street Press
- ISBN-10: 1013274334
- ISBN-13: 9781013274336
- Formatas: 21.6 x 27.9 x 2.4 cm, kieti viršeliai
- Kalba: Anglų
Variant Construction From Theoretical Foundation to Applications (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
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.
This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
- Autorius: Jeffrey Zheng
- Leidėjas: Saint Philip Street Press
- ISBN-10: 1013274334
- ISBN-13: 9781013274336
- Formatas: 21.6 x 27.9 x 2.4 cm, kieti viršeliai
- Kalba: Anglų
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.
This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
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