Mathematics for Future Computing and Communications

Herausgeber: Heng, Liao; McColl, Bill

• Gebundenes Buch

Produktbeschreibung

New mathematical ideas go hand-in-hand with innovation in computing, communications and AI. Such innovations are described here in a book that provides a panorama of ideas and applications in computer architecture, software verification, quantum computing, compressed sensing, Bayesian inference, machine learning, reinforcement learning and more.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 398
• Erscheinungstermin: 1. März 2022
• Englisch
• Abmessung: 250mm x 175mm x 26mm
• Gewicht: 894g
• ISBN-13: 9781316513583
• ISBN-10: 1316513580
• Artikelnr.: 62433317

Inhaltsangabe

Preface Liao Heng
Part I. Computing: Introduction to Part I
1. Mathematics, models and architectures Bill McColl
2. Mathematics and software verification Chen Haibo and Gao Xin
3. Mathematics for quantum computing Kong Yunchuan
4. Mathematics for AI: categories, toposes, types Daniel Bennequin and Jean-Claude Belfiore
Part II. Communications: Introduction to Part II
5. Mathematics and compressed sensing Zhang Rui and Long Zichao
6. Mathematics, information theory, and statistical physics Mérouane Debbah
7. Mathematics of data networking Li Zongpeng, Miao Lihua and Tang Siyu
8. Mathematics and network science Sun Jie
Part III. Artificial Intelligence: Introduction to Part III
9. Mathematics, information and learning Tong Wen and Ge Yiqun
10. Mathematics and Bayesian inference Guo Kaiyang, Lv Wenlong and Zhang Jianfeng
11. Mathematics, optimization and machine learning Jiu Shangling
12. Mathematics of reinforcement learning Wu Shuang and Wang Jun
Part IV. Future: 13. Mathematics and prospects for future breakthroughs Dang Wenshuan
Editors and contributing authors.