Max Tegmark leads us on an astonishing journey through past, present and future, and through the physics, astronomy and mathematics that are the foundation of his work, most particularly his hypothesis that our physical reality is a mathematical structure and his theory of the ultimate multiverse. In a dazzling combination of both popular and groundbreaking science, he not only helps us grasp his often mind-boggling theories, but he also shares with us some of the often surprising triumphs and disappointments that have shaped his life as a scientist. Fascinating from first to last—this is a book that has already prompted the attention and admiration of some of the most prominent scientists and mathematicians.
“Tegmark offers a fascinating exploration of multiverse theories, each one offering new ways to explain ‘quantum weirdness’ and other mysteries that have plagued physicists, culminating in the idea that our physical world is ‘a giant mathematical object’ shaped by geometry and symmetry. Tegmark’s writing is lucid, enthusiastic, and outright entertaining, a thoroughly accessible discussion leavened with anecdotes and the pure joy of a scientist at work.” —Publishers Weekly (starred review)
“Lively and lucid, the narrative invites general readers into debates over computer models for brain function, over scientific explanations of consciousness, and over prospects for finding advanced life in other galaxies. Though he reflects soberly on the perils of nuclear war and of hostile artificial intelligence, Tegmark concludes with a bracingly upbeat call for scientifically minded activists who recognize a rare opportunity to make our special planet a force for cosmic progress. An exhilarating adventure for bold readers.” —Bryce Cristensen, Booklist (starred review)
“Our Mathematical Universe boldly confronts one of the deepest questions at the fertile interface of physics and philosophy: why is mathematics so spectacularly successful at describing the cosmos? Through lively writing and wonderfully accessible explanations, Max Tegmark—one of the world’s leading theoretical physicists—guides the reader to a possible answer, and reveals how, if it’s right, our understanding of reality itself would be radically altered.” —Brian Greene, physicist, author of The Elegant Universe and The Hidden Reality
“Daring, Radical. Innovative. A game changer. If Dr. Tegmark is correct, this represents a paradigm shift in the relationship between physics and mathematics, forcing us to rewrite our textbooks. A must read for anyone deeply concerned about our universe.” —Michio Kaku, author of Physics of the Future
“Tegmark offers a fresh and fascinating perspective on the fabric of physical reality and life itself. He helps us see ourselves in a cosmic context that highlights the grand opportunities for the future of life in our universe.” —Ray Kurzweil, author of The Singularity is Near
“Readers of varied backgrounds will enjoy this book. Almost anyone will find something to learn here, much to ponder, and perhaps something to disagree with.” —Prof. Edward Witten, physicist, Fields Medalist & Milner Laureate
“This inspirational book written by a true expert presents an explosive mixture of physics, mathematics and philosophy which may alter your views on reality.” —Prof. Andrei Linde, physicist, Gruber & Milner Laureate for development of inflationary cosmology
“Galileo famously said that the universe is written in the language of mathematics. Now Max Tegmark says that the universe IS mathematics. You don’t have to necessarily agree, to enjoy this fascinating journey into the nature of reality.” —Prof. Mario Livio, astrophysicist, author of Brilliant Blunders and Is God a Mathematician?
“Scientists and lay aficionados alike will find Tegmark’s book packed with information and very thought provoking. You may recoil from his thesis, but nearly every page will make you wish you could debate the issues face-to-face with him.” —Prof. Julian Barbour, physicist, author of The End of Time
“In Our Mathematical Universe, renowned cosmologist Max Tegmark takes us on a whirlwind tour of the universe, past, present—and other. With lucid language and clear examples, Tegmark provides us with the master measure of not only of our cosmos, but of all possible universes. The universe may be lonely, but it is not alone.” —Prof. Seth Lloyd, Professor of quantum mechanical engineering, MIT, author of Programming the Universe
“A lucid, engaging account of the various many-universes theories of fundamental physics that are currently being considered, from the multiverse of quantum theory to Tegmark’s own grand vision.” —Prof. David Deutsch, physicist, Dirac Laureate for pioneering quantum computing

本书为理论物理学家大栗博司先生写给自己女儿的数学读本，全书以用“数学语言”解读自然为线索，用生动故事和比喻重新讲解了数学的核心原理与体系，并且讲解了把数学作为一门“语言”的思维方式，是数学入门，重新理解数学的科普佳作。
数学可以精准地描述事物，这种描述能力超越了英语、日语等自然语言的表现能力。所以如果理解数学，就能看到那些无形、不可见的东西，想出从未想到过的新创意。

This book grew out of a course of lectures given to third year undergraduates at Oxford University and it has the modest aim of producing a rapid introduction to the subject. It is designed to be read by students who have had a first elementary course in general algebra. On the other hand, it is not intended as a substitute for the more voluminous tracts such as Zariski-Samuel or Bourbaki. We have concentrated on certain central topics, and large areas, such as field theory, are not touched. In content we cover rather more ground than Northcott and our treatment is substantially different in that, following the modern trend, we put more emphasis on modules and localization.

本书是德里达在把胡塞尔的短文《几何学的起源》译成法文的同时为该文所配的长篇导言。德里达在导言中以胡塞尔的晚期作品为基础、以胡塞尔早期和中期著作为线索，详尽讨论了“对原初含义进行重新激活的可能性”、“历史还原的方式”、“客观性、历史性与意向性之间的关系”、“如何跨越先验之我与先验之‘我们’之间的鸿沟”、“语言、理念与视域之间的交叉关系”等等一系列重大的现象学问题并从辩证法的角度给出了自己独树一帜的回答。作为回答的结果，德里达不仅提出了“远程通信”、“书写的现象学”、“中间地带”、“地理学”、“亚结构”、“终极创建的无限推迟”、“‘听’(而不是‘看’)观念”等令人耳目一新的表述。更为重要的是，德里达从中发现并论证了解构学说最重要的理论支柱——“延迟”原理。

《非线性科学与斑图动力学导论》是作者在北京大学物理学院为研究生讲授同名课程过程中逐步形成的。旨在介绍斑图动力学所必需的物理、数学知识，内容分为两部分：非线性科学研究与斑图动力学研究。第一部分的目的是使读者了解研究非线性问题的基本知识；第二部分着重介绍斑图动力学。

This elegant book by distinguished mathematician John Milnor, provides a clear and succinct introduction to one of the most important subjects in modern mathematics. Beginning with basic concepts such as diffeomorphisms and smooth manifolds, he goes on to examine tangent spaces, oriented manifolds, and vector fields. Key concepts such as homotopy, the index number of a map, and the Pontryagin construction are discussed. The author presents proofs of Sard's theorem and the Hopf theorem.

对称性对现代物理学以及整个现代科学的重要性是众所周知的。外尔作为一个伟大的数学家和对称性在现代物理中的应用的开拓者之一，用深入浅出的笔调，既通俗易懂但又不失严谨地论述了这个在一般人看来十分抽象和难懂的课题，使一般读者也从中可以体会到现代数学内在的魅力和深刻。

《复变函数逼近论》系统地介绍了复变函数逼近论中的重要成果和主要方法。全书共分四章：第一章复平面有界闭集上多项式及有理函数的逼近，第二章复平面上多项式最佳逼近阶的估计，第三章有理函数的最佳逼近，第四章Bergman空间中的多项式及有理函数逼近。书中包括了作者本人近十年来的科研成果。《复变函数逼近论》中的许多定理证明简明易懂，便于读者掌握。
《复变函数逼近论》可供高等院校数学系师生，从事函数论及逼近论科研的工作者阅读。

Our understanding of how the human brain performs mathematical calculations is far from complete, but in recent years there have been many exciting breakthroughs by scientists all over the world. Now, in The Number Sense, Stanislas Dehaene offers a fascinating look at this recent research, in an enlightening exploration of the mathematical mind. Dehaene begins with the eye-opening discovery that animals--including rats, pigeons, raccoons, and chimpanzees--can perform simple mathematical calculations, and that human infants also have a rudimentary number sense. Dehaene suggests that this rudimentary number sense is as basic to the way the brain understands the world as our perception of color or of objects in space, and, like these other abilities, our number sense is wired into the brain. These are but a few of the wealth of fascinating observations contained here. We also discover, for example, that because Chinese names for numbers are so short, Chinese people can remember up to nine or ten digits at a time--English-speaking people can only remember seven. The book also explores the unique abilities of idiot savants and mathematical geniuses, and we meet people whose minute brain lesions render their mathematical ability useless. This new and completely updated edition includes all of the most recent scientific data on how numbers are encoded by single neurons, and which brain areas activate when we perform calculations. Perhaps most important, The Number Sense reaches many provocative conclusions that will intrigue anyone interested in learning, mathematics, or the mind. "A delight." --Ian Stewart, New Scientist "Read The Number Sense for its rich insights into matters as varying as the cuneiform depiction of numbers, why Jean Piaget's theory of stages in infant learning is wrong, and to discover the brain regions involved in the number sense." --The New York Times Book Review "Dehaene weaves the latest technical research into a remarkably lucid and engrossing investigation. Even readers normally indifferent to mathematics will find themselves marveling at the wonder of minds making numbers." --Booklist

《流形拓扑学:理论与概念的实质》是一部关于流形的拓扑学专著，较全面和系统地介绍了拓扑学大多数重要领域中的理论与方法。内容涉及微分拓扑、同调论、同伦论、微分形式与谱序列、不动点理论、Morse理论，以及向量丛的示性类理论。同时，书中也介绍了作者新发展的流形共轭结构理论，主要结果包括共轭对称性定理，上、下同调群的几何化定理，最小共轭元球面定理.在这些定理基础上，同调论和同伦论中许多重要定理与结果，如Poincare对偶，Lefschetz对偶，Kunneth公式，上、下同调群，以及Hurewicz定理等的实质及直观意义变得更清楚了。
《流形拓扑学:理论与概念的实质》适合于数学、理论物理等相关专业的高年级大学生、研究生、教师及研究人员学习和参考。

本书出自近世代数领域的两位巨匠之手, 是一本经典的教材。全书共分为15章, 内容包括：整数、有理数和域、多项式、实数、复数、群、向量与向量空间、矩阵代数、线性群、行列式与标准型、布尔代数与格、超限算术、环与理想、代数数域和伽罗瓦理论等。
本书适合数学专业及其他理工科专业高年级本科生和研究生使用, 是一本非常有价值的教材和参考书。

高等近世代数，ISBN：9787111191605，作者：（美）罗特曼

《不等式机器证明与自动发现》主要介绍作者及其合作者近十年来在不等式机器证明与自动发现方面的工作，兼顾经典结果和方法，全书共分7章，分别介绍和论述多项式的伪除与结式、相对单纯分解、多项式的实根、常系数半代数系统的实解隔离、参系数半代数系统的实解分类、不等式机器证明的降维算法与BOTTEMA程序以及不等式的明证,除第1章及第3章、第7章的部分内容外，余皆作者及合作者的工作，附录介绍了子结式理论和柱形代数分解算法，还包括了对作者自编软件包B01TrEMA的使用说明。

《数学概览:直观几何(上册)》的目的是从直观、直觉的方面，呈现几何学之貌，“几何”在《数学概览:直观几何(上册)》中得到非常广泛的解释，除了平面曲线的解析几何，曲线和曲面的微分几何之类的一般几何外，它还包括了共形映射、极小曲面、数的几何及其在数论中令人惊奇的应用、位形空间之几何、多面体与曲面的拓扑等。

非线性及泛函分析（数学分析中的非线性问题讲义），ISBN：9787030111128，作者：（美国）M.S.伯杰著、罗亮生等译

《计算机视觉中的数学方法》由射影几何、矩阵与张量、模型估计3篇组成，它们是三维计算机视觉所涉及的基本数学理论与方法。射影几何学是三维计算机视觉的数学基础，《计算机视觉中的数学方法》着重介绍射影几何学及其在视觉中的应用，主要内容包括：平面与空间射影几何，摄像机几何，两视点几何，自标定技术和三维重构理论。矩阵与张量是描述和解决三维计算机视觉问题的必要数学工具，《计算机视觉中的数学方法》着重介绍与视觉有关的矩阵和张量理论及其应用，主要内容包括：矩阵分解，矩阵分析，张量代数，运动与结构，多视点张量。模型估计是三维计算机视觉的基本问题，通常涉及变换或某种数学量的估计，《计算机视觉中的数学方法》着重介绍与视觉估计有关的数学理论与方法，主要内容包括：迭代优化理论，参数估计理论，视觉估计的代数方法、几何方法、鲁棒方法和贝叶斯方法。