《神经科学研究与进展•神经科学MATLAB教程:MATLAB科学计算导论(英文)(导读版)》内容简介：作为科学计算的数学软件，Matlab被广泛应用于几乎所有的神经科学和认知心理学实验室。《神经科学研究与进展•神经科学MATLAB教程:MATLAB科学计算导论(英文)(导读版)》介绍了Matlab的基础原理和基本程序设计、数据搜集与实验控制、数据分析与建模，帮助使用者解决各种计算问题。作者并非将Matlab单纯视为程序设计语言，而是将其作为解决神经科学实际问题的工具。

In their bestselling MATHEMATICAL STATISTICS WITH APPLICATIONS, premiere authors Dennis Wackerly, William Mendenhall, and Richard L. Scheaffer present a solid foundation in statistical theory while conveying the relevance and importance of the theory in solving practical problems in the real world. The authors' use of practical applications and excellent exercises helps you discover the nature of statistics and understand its essential role in scientific research.

《计算复杂性(英文版)》是理论计算机科学领域的名著。书中对计算任务的固有复杂性研究进行了一般性介绍，涉及了复杂性理论的很多子领域，涵盖了NP完整性、空间复杂性、随机性和计数、伪随机数生成器等内容，还在附录里面给出了现代密码学基础等内容。 《计算复杂性(英文版)》内容严谨，可读性强，适合作为高年级本科生、研究生的教材，对涉及计算复杂性的专业人员也是理想的技术参考书。

G. H. Hardy was one of this century's finest mathematical thinkers, renowned among his contemporaries as a 'real mathematician the purest of the pure'. He was also, as C. P. Snow recounts in his Foreword, 'unorthodox, eccentric, radical, ready to talk about anything'. This 'apology', written in 1940 as his mathematical powers were declining, offers a brilliant and engaging account of mathematics as very much more than a science; when it was first published, Graham Greene hailed it alongside Henry James's notebooks as 'the best account of what it was like to be a creative artist'. C. P. Snow's Foreword gives sympathetic and witty insights into Hardy's life, with its rich store of anecdotes concerning his collaboration with the brilliant Indian mathematician Ramanujan, his aphorisms and idiosyncrasies, and his passion for cricket. This is a unique account of the fascination of mathematics and of one of its most compelling exponents in modern times.

Algebraic topology is a basic part of modern mathematics and some knowledge of this area is indispensable for any advanced work relating to geometry, including topology itself, differential geometry, algebraic geometry and Lie groups. This book provides a treatment of algebraic topology both for teachers of the subject and for advanced graduate students in mathematics either specializing in this area or continuing on to other fields. J. Peter May's approach reflects the enormous internal developments within algebraic topology, most of which are largely unknown to mathematicians in other fields. But he also retains the classical presentations of various topics where appropriate. Most chapters end with problems that further explore and refine the concepts presented. The final four chapters provide sketches of substantial areas of algebraic topology and the book concludes with a list of suggested readings for those interested in delving further into the field.

This graduate level textbook covers an especially broad range of topics. The book first offers a careful discussion of the basics of linear algebra. It then proceeds to a discussion of modules, emphasizing a comparison with vector spaces, and presents a thorough discussion of inner product spaces, eigenvalues, eigenvectors, and finite dimensional spectral theory, culminating in the finite dimensional spectral theorem for normal operators. The new edition has been revised and contains a chapter on the QR decomposition, singular values and pseudoinverses, and a chapter on convexity, separation and positive solutions to linear systems.