剑桥大学出版社（Cambridge University Press）在科学研究、技术性及医药学行业现阶段在售15,000多种多样纸本书籍、8,000多种多样电子书籍及160多种多样同行业审查刊物。这种书本不容置疑是大家留学人员在写毕业论文的情况下的最好引入参考文献，具有公信力。有很多同学们和我意见反馈说前边文章内容有关牛津大学的推荐书单很有效，期待大家再次消息推送，那麼下面中美伦文化教育我又给大伙儿梳理了一些科学研究、技术性及医学类专业的推荐书单，一起来瞧瞧吧。
Applications of Diophantine Approximation to Integral Points and Transcendence
Part of Cambridge Tracts in Mathematics
Pietro Corvaja, Università degli Studi di Udine, Italy
Umberto Zannier, Scuola Normale Superiore, Pisa
HB | ISBN: 9781108424943
This introduction to Diophantine approximation and Diophantine equations, with applications to related topics, pays special regard to Schmidt's subspace theorem. It contains a number of results, some never before published in book form, and some new. The authors introduce various techniques and open questions to guide future research.
Non-Associative Normed Algebras
2 Volume Hardback Set
Part of Encyclopedia of Mathematics and its Applications
Miguel Cabrera García, Universidad de Granada
Ángel Rodríguez Palacios, Universidad de Granada
HB | ISBN: 9781108679077
This two-volume work on non-associative normed algebras reorganises an enormous amount of research material dispersed across hundreds of papers, producing new results. It provides a unique treatment, intended for both researchers and graduate students, and is sure to become a central resource.
Attosecond and Strong-Field Physics
Principles and Applications
C. D. Lin, Kansas State University
Anh-Thu Le, Kansas State University
Cheng Jin, Nanjing University of Science and Technology, China
Hui Wei, Kansas State University
HB | ISBN: 9781107197763
An introductory textbook on attosecond and strong field physics, describing how matter interacts with attosecond pulses. Fundamental theory and modeling techniques and the exciting experimental developments in the field are covered. Includes discussion of future challenges and is an invaluable resource for students and researchers.
Adversarial Machine Learning Radiogenic Isotope Geology Stochastic Geometry Analysis of Cellular Networks Environmental Attitudes through Time Predictive Statistics
Anthony D. Joseph, University of California, Berkeley Blaine Nelson, Google
Benjamin I. P. Rubinstein, University of Melbourne
J.D. Tygar, University of California, Berkeley
HB | ISBN: 9781107043466
Combining essential theory and practical techniques for analysing system security, and building robust machine learning in adversarial environments, as well as including case studies on email spam and network security, this complete introduction is an invaluable resource for researchers, practitioners and students in computer security and machine learning.
The Theory of Quantum Information
John Watrous, University of Waterloo, Ontario
HB | ISBN:9781107180567
Intended for graduate students and researchers, this book presents a formal development of the mathematical theory of quantum information. Largely self-contained, with clear proofs and a wide range of exercises, it will help the reader grasp the fundamental facts and techniques that form the mathematical foundations of the subject.
Alan P. Dickin, McMaster University, Ontario
HB | ISBN: 9781107099449
PB | ISBN: 9781107492127
The new edition of Radiogenic Isotope Geology examines revolutionary changes in geochemical thinking over the past fifteen years. The latest ideas and methods, classic papers, and illustrative case studies all come under scrutiny, providing an accessible introduction for students and critical commentary for researchers.
Bartłomiej Błaszczyszyn, Institut National de Recherche en Informatique et en Automatique (INRIA), Rocquencourt
Martin Haenggi, University of Notre Dame, Indiana
Paul Keeler, Weierstrass Institute for Applied Analysis and Statistics
Sayandev Mukherjee, DOCOMO Innovations, Inc., Palo Alto
HB | ISBN: 9781107162587
Achieve faster, more efficient network design and optimization with this comprehensive guide. Presenting the latest analytic methods and results from stochastic geometry for understanding the behaviour of heterogeneous cellular networks, and including practical Long-Term Evolution (LTE) applications, it is ideal for engineers who design wireless communication networks
R. J. Berry, University College London
PB | ISBN: 9781107679481
HB | ISBN: 9781107062320
This volume presents data and concepts from a broad range of disciplines that affect our life and well-being within our environment. It shows the limits but also the possibilities for action and so throws light on our present and future fate as individuals, as citizens, and as decision makers.
Quality and Safety in Women's Health
Thomas Ivester, University of North Carolina, Chapel Hill
HB | ISBN: 99781107686304
Designed for providers of women's healthcare, this manual guides those implementing QI and safety programs with emphasis on obstetrics and gynecology. The book contains case-based elements to improve accessibility and understanding. The editors are involved with global initiatives educating physicians in safety aspects of practice.
Practical Healthcare Epidemiology
Ebbing Lautenbach, University of Pennsylvania School of Medicine
Preeti N. Malani, University of Michigan, Ann Arbor
Keith F. Woeltje, Washington University School of Medicine, St Louis
Jennifer H. Han, University of Pennsylvania School of Medicine
Emily K. Shuman, University of Michigan, Ann Arbor
Jonas Marschall, Washington University School of Medicine, St Louis
HB | ISBN: 9781107153165
A much-needed new edition at a time when all healthcare professionals, and healthcare epidemiologists in particular, face tough challenges in infection prevention. Leaders in healthcare epidemiology come together to offer practical, hands-on advice to trainees and professionals in addressing all aspects of infection surveillance and prevention.
Analysis and Inference beyond Models
Part of Cambridge Series in Statistical and Probabilistic Mathematics
Bertrand S. Clarke, University of Nebraska, Lincoln
Jennifer L. Clarke, University of Nebraska, Lincoln
HB | ISBN: 9781107028289
Aimed at statisticians and machine learners, this retooling of statistical theory asserts that high-quality prediction should be the guiding principle of modeling and learning from data, then shows how. The fully predictive approach to statistical problems outlined embraces traditional subfields and 'black box' settings, with computed examples.
Radiogenic Isotope Geology
Stochastic Geometry Analysis of Cellular Networks
Environmental Attitudes through Time