《费马大定理:解开一个古代数学难题的秘密》主要内容：1955年，在一次科学会议上，一位普林斯顿数学家的演讲像投下了一枚炸弹，引起了极大轰动。他已成功证明了一个使成千上万人迷惑达350年之久的著名数学猜想——费马大定理。这个证明一共写了200页，是他面壁7年的结果。《费马大定理:解开一个古代数学难题的秘密》讲述的是隐藏在这次伟大科学胜利背后的人物、历史和文化的故事。

《黎曼几何》主要内容：The object of this book is to familiarize the reader with the basic language of and some fundamental theorems in Riemannian Geometry. To avoid referring to previous knowledge of differentiable manifolds, we include Chapter 0, which contains those concepts and results on differentiable manifolds which are used in an essential way in the rest of the book。 The first four chapters of the book present the basic concepts of Riemannian Geometry (Riemannian metrics, Riemannian connections, geodesics and curvature). A good part of the study of Riemannian Geometry consists of understanding the relationship between geodesics and curvature. Jacobi fields, an essential tool for this understanding, are introduced in Chapter 5. In Chapter 6 we introduce the second fundamental form associated with an isometric immersion, and prove a generalization of the Theorem Egregium of Gauss. This allows us to relate the notion of curvature in Riemannian manifolds to the classical concept of Gaussian curvature for surfaces。

《微分流形与李群基础》根据F．w．瓦内尔所著Foundations of Diffrentiable Manifoldsand Lie Groups(Springer出版社1983年版)一书译出。《微分流形与李群基础》特色鲜明、选材精练、论述精辟，全书共分6章，其核心材料主要包含在第1，2，4章中，包括微分流形、微分形式、流形上的积分以及de Rham上同调等，第3章则比较系统地论述了Lie群论的基本内容，第5章论述de Rham定理并为此发展了公理化层上同调论，第6章论述Hodge定理并以Fourier级数为基本工具给出了椭圆算子局部理论的完整论述，这在一般参考书中是不容易找到的。

《复流形(第2版)》是复流形的一大经典（全英文版），也是陈省身先生最著名的著作之一。该书是1995年版复流形理论第2版的修订版。《复流形(第2版)》以作者在California大学的讲义和Canadian数学学会的研讨班为蓝本，全面地讲述复流形理论在代数几何、复函数理论、微分算子等理论中的重要作用。《复流形(第2版)》的最大特点是复流形理论的微分几何方法是在S.-S.Chern著作的影响下发展起来的，作为第2版对该理论的引入和表示很完美，被众多数学界的学者、专家所引用，是学习Riemann几何的一本理想参考书。

阿达玛在《数学科学文化理念传播丛书·数学领域中的发明心理学》中追随庞加莱在巴黎心理学学会上的著名讲演的思想，着重论述了以“无意识思维”为核心的数学发明心理过程，给人以强烈印象。

《概率论习题集》主要内容：施利亚耶夫是现代概率论奠基人、前苏联科学院院士、著名数学家A.H.柯尔莫戈洛夫的学生，在概率统计界和金融数学界影响极大。大部分习题都附有提示。在附录中还解释了《概率论习题集》所用到的基本符号。并对与《概率论习题集》内容有关的概率论、组合论以及位势理论的基本概念作了简要的介绍。

《黄金分割漫话》介绍了它的基本性质及文化内涵，揭示了它与正五边形、斐波那契数列及优选法等重要数学概念和方法的紧密联系，它在发现无理数这一人类认识史上石破天惊的重大事件中所起的作用以及它在日常生活中的种种表现。

本书是俄罗斯著名代数学家A．и．柯斯特利金的优秀教材《代数学引论》的第三卷。《代数学引论》是作者总结了在莫斯科大学几十年来代数课程的教学经验而写成的，全书分成三卷(第一卷：基础代数，第二卷：线性代数，第三卷：基本结构)，分别对应于莫斯科大学数学力学系代数教学的三学期的内容。作者在书中把代数、线性代数和几何统一处理成一个教程，并力图把本书写成有利于培养学生创造性思维的教材。书中配置了难度不同的大量习题，并向学生介绍一些专题中尚未解决的问题。. 第三卷的内容包括群论的一些基本理论，群的结构，表示论基础，环、代数与模，伽罗瓦理论初步。.. 本书可供我国高等院校数学、应用数学专业和相关专业的学生、教师用作代数学课程的教学参考书，也可用作硕士研究生的基础代数教材或教学参考书。...

Praise for the First Edition ". . .recommended for the teacher and researcher as well as for graduate students. In fact, [it] has a place on every mathematician's bookshelf." -American Mathematical Monthly Linear Algebra and Its Applications, Second Edition presents linear algebra as the theory and practice of linear spaces and linear maps with a unique focus on the analytical aspects as well as the numerous applications of the subject. In addition to thorough coverage of linear equations, matrices, vector spaces, game theory, and numerical analysis, the Second Edition features student-friendly additions that enhance the book's accessibility, including expanded topical coverage in the early chapters, additional exercises, and solutions to selected problems. Beginning chapters are devoted to the abstract structure of finite dimensional vector spaces, and subsequent chapters address convexity and the duality theorem as well as describe the basics of normed linear spaces and linear maps between normed spaces. Further updates and revisions have been included to reflect the most up-to-date coverage of the topic, including: The QR algorithm for finding the eigenvalues of a self-adjoint matrix The Householder algorithm for turning self-adjoint matrices into tridiagonal form The compactness of the unit ball as a criterion of finite dimensionality of a normed linear spaceAdditionally, eight new appendices have been added and cover topics such as: the Fast Fourier Transform; the spectral radius theorem; the Lorentz group; the compactness criterion for finite dimensionality; the characterization of commentators; proof of Liapunov's stability criterion; the construction of the Jordan Canonical form of matrices; and Carl Pearcy's elegant proof of Halmos' conjecture about the numerical range of matrices. Clear, concise, and superbly organized, Linear Algebra and Its Applications, Second Edition serves as an excellent text for advanced undergraduate- and graduate-level courses in linear algebra. Its comprehensive treatment of the subject also makes it an ideal reference or self-study for industry professionals.

In this new edition the author has added substantial material on Bayesian analysis, including lengthy new sections on such important topics as empirical and hierarchical Bayes analysis, Bayesian calculation, Bayesian communication, and group decision making. With these changes, the book can be used as a self-contained introduction to Bayesian analysis. In addition, much of the decision-theoretic portion of the text was updated, including new sections covering such modern topics as minimax multivariate (Stein) estimation.

Was plane geometry your favourite math course in high school? Did you like proving theorems? Are you sick of memorising integrals? If so, real analysis could be your cup of tea. In contrast to calculus and elementary algebra, it involves neither formula manipulation nor applications to other fields of science. None. It is Pure Mathematics, and it is sure to appeal to the budding pure mathematician. In this new introduction to undergraduate real analysis the author takes a different approach from past studies of the subject, by stressing the importance of pictures in mathematics and hard problems. The exposition is informal and relaxed, with many helpful asides, examples and occasional comments from mathematicians like Dieudonne, Littlewood and Osserman. The author has taught the subject many times over the last 35 years at Berkeley and this book is based on the honours version of this course. The book contains an excellent selection of more than 500 exercises.

This book introduces readers to the living topics of Riemannian Geometry and details the main results known to date. The results are stated without detailed proofs but the main ideas involved are described, affording the reader a sweeping panoramic view of almost the entirety of the field. From the reviews "The book has intrinsic value for a student as well as for an experienced geometer. Additionally, it is really a compendium in Riemannian Geometry." --MATHEMATICAL REVIEWS

Significantly revised and expanded, this new Second Edition provides readers at all levels---from beginning students to practicing analysts---with the basic concepts and standard tools necessary to solve problems of analysis, and how to apply these concepts to research in a variety of areas. Authors Elliott Lieb and Michael Loss take you quickly from basic topics to methods that work successfully in mathematics and its applications. While omitting many usual typical textbook topics, Analysis includes all necessary definitions, proofs, explanations, examples, and exercises to bring the reader to an advanced level of understanding with a minimum of fuss, and, at the same time, doing so in a rigorous and pedagogical way. Many topics that are useful and important, but usually left to advanced monographs, are presented in Analysis, and these give the beginner a sense that the subject is alive and growing. This new Second Edition incorporates numerous changes since the publication of the original 1997 edition and includes: Features: new chapter on eigenvalues that covers the min-max principle, semi-classical approximation, coherent states, Lieb-Thirring inequalities, and more extensive additions to chapters covering Sobolev Inequalities, including the Nash and Log Sobolev inequalities new material on Measure and Integration many new exercises and much more ... The Second Edition continues its no-nonsense approach to the topic that has made it one of the best selling books on the subject. It is an authoritative, straight-forward volume that readers---from the graduate student, to the professional mathematician, to the physicist or engineer using analytical methods---will find useful both as a reference and as a guide to real problem solving.

This book deals with the philosophical and methodological aspects of information technology and the collection and analysis of data to provide insight into a problem, whether it is scientific research, policy making by government or decision making in our daily lives. The author seeks to dispels the doubts that chance is an expression of our ignorance which makes accurate prediction impossible and illustrates how our thinking has changed with quantification of uncertainty by showing that chance is no longer the obstructor but a way of expressing our knowledge. Indeed, chance can create and help in the investigation of truth. This theory is eloquently demonstrated with numerous examples of applications that statistics is the science, technology and art of extracting information from data and is based on a study of the laws of chance. It shows how statistical ideas played a vital role in scientific and other investigations even before statistics was recognized as a separate discipline, and how statistics is now evolving as a versatile, powerful and inevitable tool in diverse fields of human endeavour such as literature, legal matters, industry, archaeology and medicine. The use of statistics to the layman in improving the quality of life through wise decision-making is emphasized.

This famous book was the first treatise on Lie groups in which a modern point of view was adopted systematically, namely, that a continuous group can be regarded as a global object. To develop this idea to its fullest extent, Chevalley incorporated a broad range of topics, such as the covering spaces of topological spaces, analytic manifolds, integration of complete systems of differential equations on a manifold, and the calculus of exterior differential forms. The book opens with a short description of the classical groups: unitary groups, orthogonal groups, symplectic groups, etc. These special groups are then used to illustrate the general properties of Lie groups, which are considered later. The general notion of a Lie group is defined and correlated with the algebraic notion of a Lie algebra; the subgroups, factor groups, and homomorphisms of Lie groups are studied by making use of the Lie algebra. The last chapter is concerned with the theory of compact groups, culminating in Peter-Weyl's theorem on the existence of representations. Given a compact group, it is shown how one can construct algebraically the corresponding Lie group with complex parameters which appears in the form of a certain algebraic variety (associated algebraic group). This construction is intimately related to the proof of the generalization given by Tannaka of Pontrjagin's duality theorem for Abelian groups. The continued importance of Lie groups in mathematics and theoretical physics make this an indispensable volume for researchers in both fields. Table of Contents: INTRODUCTION vii I. THE CLASSICAL LINEAR GROUPS 1 II. TOPOLOGICAL GROUPS 25 III. MANIFOLDS 68 IV. ANALYTIC GROUPS. LIE GROUPS 99 V. THE DIFFERENTIAL CALCULUS 0F CARTAN 139 VI. COMPACT LIE GROUPS AND THEIR REPRESENTATIONS 171 INDEX 215

Success in your calculus course starts here! James Stewart's CALCULUS texts are world-wide best-sellers for a reason: they are clear, accurate, and filled with relevant, real-world examples. With CALCULUS: EARLY TRANCENDENTALS, Sixth Edition, Stewart conveys not only the utility of calculus to help you develop technical competence, but also gives you an appreciation for the intrinsic beauty of the subject. His patient examples and built-in learning aids will help you build your mathematical confidence and achieve your goals in the course!

The leading reference on probabilistic methods in combinatorics-now expanded and updated When it was first published in 1991, The Probabilistic Method became instantly the standard reference on one of the most powerful and widely used tools in combinatorics. Still without competition nearly a decade later, this new edition brings you up to speed on recent developments, while adding useful exercises and over 30ew material. It continues to emphasize the basic elements of the methodology, discussing in a remarkably clear and informal style both algorithmic and classical methods as well as modern applications. The Probabilistic Method, Second Edition begins with basic techniques that use expectation and variance, as well as the more recent martingales and correlation inequalities, then explores areas where probabilistic techniques proved successful, including discrepancy and random graphs as well as cutting-edge topics in theoretical computer science. A series of proofs, or "probabilistic lenses," are interspersed throughout the book, offering added insight into the application of the probabilistic approach. New and revised coverage includes: * Several improved as well as new results * A continuous approach to discrete probabilistic problems * Talagrand's Inequality and other novel concentration results * A discussion of the connection between discrepancy and VC-dimension * Several combinatorial applications of the entropy function and its properties * A new section on the life and work of Paul Erdös-the developer of the probabilistic method