《通信之道——从微积分到5G》按照读者的思维顺序讲述了从微积分到5G 所涉及的基础知识和关键技术。《通信之道——从微积分到5G》共20 章，具有以下特点：
（1）跨度极大，内容翔实：涉及数学、信号处理、通信原理、通信前沿技术等多个学科领域，知识密度极高，并且是最精华的部分。
（2） 降低难度，提升高度：《通信之道——从微积分到5G》叙述符合读者的思维发展规律，并逐级提高，前后呼应，语言风趣幽默，节奏平稳；作者站高望远，直击本质，学术境界超越经典。
（3）启发互动，培养创新：在多个环节上对读者提出挑战，启发读者思考，并给出作者的思考过程，培养读者的创新思维。
《通信之道——从微积分到5G》可作为通信和信号处理相关专业的本科生及研究生的教辅书，也可作为从业技术人员的参考资料。

本书介绍了图论的基本概念，解释了图论中各种经典问题。例如，熄灯的问题、小生成树问题、哥尼斯堡七桥问题、中国邮递员问题、国际象棋中马的遍历问题和路的着色问题等等。书中也给出了各种类型的图，例如，二部图、欧拉图、彼得森图和树；等等。每一章都为读者设置了练习题，包含了具有挑战性的探索性问题。

简单而言，作者在本书中的学术野心可以概括为力图建立一个超越三大流派传统的后现代性数学哲学范式。后现代性对元叙事的怀疑解构了“现代性”，作者以为这种解构的过程同样可以见于数学哲学领域。现代性对数学哲学的形成及演变产生了巨大的影响，现代性数学的思想特点是以绝对主义思想为标志的形而上学数学本体论和真理论。但随着非欧几何及非交换性代数的发展，形而上学本体论和真理论对于现实的解释力已经被稀释，在这种情况下需要一个新的解释范式，即后现代性数学，其基本立足点是反形而上学、反先验论及反实在论，而作者认为探求这种超越现代性（后现代性）的数学哲学是对人的认识主体性和理性主义的新的启迪。

20世纪刚刚过去，百年来的世界数学，恰如高山巍峨，大海浩瀚，本书想通过数学历史上的人和事，勾勒衣服当代数学的剪影。 数学是世纪政治风云变幻的缩影，本书记载了希特勒上台怎样葬送了伟大的格丁根数学学派；数学家如何有效地投身反法西斯战争；冷战时期的超级大国同时也是世界数坛霸主。 数学又是一种文化现象。布尔巴基数学学派终于由盛渐衰，诺贝尔奖获得者中却不断出现数学家。波兰、匈牙利这样的小国数学人才辈出，美国普林斯顿一步登上世界数学顶峰，东方的日本、印度、中国的数学正在迎头赶上。 数学的发展不是孤立的，计算机是数学家冯·诺伊曼的杰作；图灵用数学方法破译德军的密码；数学家占据了诺贝尔经济学奖的半壁江山。数学控制论、数学信息论、数学规划论的创始人都是数学家。 本书除了介绍以上的纵向历史，也报告了横向的数学进步。读者会看到许多数学故事：希尔伯特的23个问题，意大利学派的代数几何，数学哲学大论战，数学教育改革的足迹，拓扑学的前前后后，直到费马大定理的证明。 中国：21世纪的数学大国，站在20世纪数学巨人们的肩膀上才能高瞻远瞩，才能看到我们的未来。

Paul Adrien Maurice Dirac was one of the founders of quantum theory. He is numbered alongside Newton, Maxwell and Einstein as one of the greatest physicists of all time. Together the lectures in this volume, originally presented on the occasion of the dedication ceremony for a plaque commemorating Dirac in Westminster Abbey, give a unique insight into the relationship between Dirac's character and his scientific achievements. The text begins with the dedication address given by Stephen Hawking at the ceremony. Then Abraham Pais describes Dirac as a person and his approach to his work. Maurice Jacob explains how Dirac was led to introduce the concept of antimatter, and its central role in modern particle physics and cosmology, followed by an account by David Olive of the origin and enduring influence of Dirac's work on magnetic monopoles. Finally, Sir Michael Atiyah explains the deep and widespread significance of the Dirac equation in mathematics.

Revised 4th edition covers major mathematical ideas and techniques from ancient Near East to 20th-century computer theory. Work of Archimedes, Pascal, Gauss, Hilbert, etc.

本书以初等函数为重点，介绍了微积分相关的内容，包括微分、积分、无穷级数、傅里叶展开和勒贝格积分等9章内容. 作者采用讲义式的叙述方式，把数学看成有生命的东西，让读者有一种别样的新鲜感.
本书是一本经典的微积分教材，原版被日本各大学普遍采用，适合数学专业及其他各理工科专业高年级本科生和低年级研究生用作教材或参考书.

Wolfram语言是一种基于知识、符号编程、自然语言风格的超大型编程语言，是 Wolfram 此前两项里程碑式的作品——科学计算平台 Mathematica 与计算知识搜索引擎 Wolfram Alpha 的结晶。Wolfram公司正在中国推广该软件，本书是Wolfram软件的基础教程，英文版344页，全彩印刷，于2015年12月出版。中文译本将于2017年1月出版。该书作者Stephen Wolfram是Mathematica软件的开发者（1988年）。

《概率、随机变量与随机过程》是美国著名学者A·帕普里斯教授所著的一本经典教材。自1965年第1版问世以来至今已第4版，一直被美国多所大学用作相关专业的研究生教材。它的特点是将高深的理论恰当地应用于工程实际，因而深受工程界专业人士的青睐。本书（第4版）在保持前三版风格和精华的基础上作了大量的修订：更新了约三分之一的章节内容，包括几个新的专题和新增的第15、16章，增加了大量的新例子，进一步澄清了一些复杂的概念，使读者能更容易地理解它们。
本书可供无线电通信系统、信号处理、控制理论、优化、滤波等专业的研究生和本科高年级学生使用，也可供相关领域的科开人员和工程技术人员参考。

http://www.hup.harvard.edu/catalog.php?isbn=9780674088917

《高等院校统计学专业规划教材•贝叶斯统计》共六章，可分二部分。前三章围绕先验分布介绍贝叶斯推断方法。后三章围绕损失函数介绍贝叶斯决策方法。阅读这些内容仅需要概率统计基本知识就够了。《高等院校统计学专业规划教材•贝叶斯统计》力图用生动有趣的例子来说明贝叶斯统计的基本思想和基本方法，尽量使读者对贝叶斯统计产生兴趣，引发读者使用贝叶方法去认识和解决实际问题的愿望。进而去丰富和发展贝叶斯统计。假如学生的兴趣被钓出来，愿望被引出来，那么讲授这一门课的目的也基本达到了。

The theory of Memory Evolutive Systems represents a mathematical model for natural open self-organizing systems, such as biological, sociological or neural systems. In these systems, the dynamics are modulated by the cooperative and/or competitive interactions between the global system and a net of internal Centers of Regulation (CR) with a differential access to a central hierarchical Memory. The MES proposes a mathematical model for autonomous evolutionary systems and is based on the Category Theory of mathematics. It provides a framework to study and possibly simulate the structure of 'living systems' and their dynamic behavior. MES explores what characterizes a complex evolutionary system, what distinguishes it from inanimate physical systems, its functioning and evolution in time, from its birth to its death. The behavior of this type of system depends heavily on its former experiences, and a model representing the system over a period of time, could anticipate later behavior and perhaps even predict some evolutionary alternatives. The role of the MES model will be two-fold: theoretical, for a comprehension of a fundamental nature and practical, for applications in biology, medicine, sociology, ecology, economy, meteorology, and other sciences. This book provides comprehensive and comprehensible coverage of Memory Evolutive System. It is written by the developers of the Memory Evolutive Systems. It is designed to explore the common language between sciences.

Written by acclaimed author and mathematician George Simmons, this revision is designed for the calculus course offered in two and four year colleges and universities. It takes an intuitive approach to calculus and focuses on the application of methods to real-world problems. Throughout the text, calculus is treated as a problem solving science of immense capability.

Linear algebra is something all mathematics undergraduates and many other students, in subjects ranging from engineering to economics, have to learn. The fifth edition of this hugely successful textbook retains all the qualities of earlier editions, while at the same time seeing numerous minor improvements and major additions. The latter include: • A new chapter on singular values and singular vectors, including ways to analyze a matrix of data • A revised chapter on computing in linear algebra, with professional-level algorithms and code that can be downloaded for a variety of languages • A new section on linear algebra and cryptography • A new chapter on linear algebra in probability and statistics. A dedicated and active website also offers solutions to exercises as well as new exercises from many different sources (including practice problems, exams, and development of textbook examples), plus codes in MATLAB®, Julia, and Python.