本书系统地介绍了实变函数的基础知

《对数线性模型》是最好的对数线性模型教学材料之一，不仅讨论了一般对数线性模型，还讨论了logit模型，这一模型通过分析作为自变量函数的因变量的期望发生比来检验自变量与因变量之间的关系。作者从处理二分变量的方法开始，逐步形成一个处理多类别变量的方法。在理论阐述的过程中，作者还使用了大量的来源于政治社会学的例子，每个例子都阐明了对数线性模型的具体运用。最后，作者讨论了对数线性模型运用中的具体问题。

美国能源部计算生物学项目数学科学研究委员会、美国国家学术院国家研究委员会编著的《数学与21世纪生物学》是美国数学和生物学界各领域科学家联合开展研究的重要成果。书中全面总结了近年来数学生物学的研究现状和研究动态，前瞻性地提出了数学与生物学的交叉学科前沿的发展趋势与未来研究方向。本书对于我国数学生物学领域的科研人员、高校师生、科技管理者、政府科研投资决策者洞悉数学生物学科学发展规律、了解数学生物学前沿领域和重点方向及开展科技创新等有重要的参考价值。

At a time of unprecedented expansion in the life sciences, evolution is the one theory that transcends all of biology. Any observation of a living system must ultimately be interpreted in the context of its evolution. Evolutionary change is the consequence of mutation and natural selection, which are two concepts that can be described by mathematical equations.Evolutionary Dynamics is concerned with these equations of life. In this book, Martin Nowak draws on the languages of biology and mathematics to outline the mathematical principles according to which life evolves. His work introduces readers to the powerful yet simple laws that govern the evolution of living systems, no matter how complicated they might seem.
Evolution has become a mathematical theory, Nowak suggests, and any idea of an evolutionary process or mechanism should be studied in the context of the mathematical equations of evolutionary dynamics. His book presents a range of analytical tools that can be used to this end: fitness landscapes, mutation matrices, genomic sequence space, random drift, quasispecies, replicators, the Prisoner's Dilemma, games in finite and infinite populations, evolutionary graph theory, games on grids, evolutionary kaleidoscopes, fractals, and spatial chaos. Nowak then shows how evolutionary dynamics applies to critical real-world problems, including the progression of viral diseases such as AIDS, the virulence of infectious agents, the unpredictable mutations that lead to cancer, the evolution of altruism, and even the evolution of human language. His book makes a clear and compelling case for understanding every living system--and everything that arises as a consequence of living systems--in terms of evolutionary dynamics.

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the analysis of natural experiments, and differences-in-differences methods that exploit policy changes. In the modern experimentalist paradigm, these techniques address clear causal questions such as: Do smaller classes increase learning? Should wife batterers be arrested? How much does education raise wages? Mostly Harmless Econometrics shows how the basic tools of applied econometrics allow the data to speak.
In addition to econometric essentials, Mostly Harmless Econometrics covers important new extensions--regression-discontinuity designs and quantile regression--as well as how to get standard errors right. Joshua Angrist and Jörn-Steffen Pischke explain why fancier econometric techniques are typically unnecessary and even dangerous. The applied econometric methods emphasized in this book are easy to use and relevant for many areas of contemporary social science.
* An irreverent review of econometric essentials
* A focus on tools that applied researchers use most
* Chapters on regression-discontinuity designs, quantile regression, and standard errors
* Many empirical examples
* A clear and concise resource with wide applications

Product Description
Eminently suited to classroom use as well as individual study, Roger Myerson's introductory text provides a clear and thorough examination of the models, solution concepts, results, and methodological principles of noncooperative and cooperative game theory. Myerson introduces, clarifies, and synthesizes the extraordinary advances made in the subject over the past fifteen years, presents an overview of decision theory, and comprehensively reviews the development of the fundamental models: games in extensive form and strategic form, and Bayesian games with incomplete information.
Game Theory will be useful for students at the graduate level in economics, political science, operations research, and applied mathematics. Everyone who uses game theory in research will find this book essential.

《世界科普名著精选:拓扑学奇趣》主要内容：拓扑学是数学的比较年轻又极为重要的分支。著名法国数学家安•韦伊曾说过，为争取每一个数学家的心灵，拓扑天使和抽象代数恶魔都要角斗。这正说明了，拓扑学无比的优雅和美丽；整个数学是拓扑学和代数学观念的奇妙的编织物。近年来，拓扑学愈来愈渗透入到物理学、化学和生物学领域中，愈来愈显示出它的重要地位。《世界科普名著精选:拓扑学奇趣》采用大量插图和通俗的语言对拓扑学这个既年轻又被视作较为深奥的数学分支作了简明的介绍，并把通常数学理论所必备的定义、定理，用通俗的语言和大量的插图作了较为直观的描述，使读者能在不知不觉中接受了拓扑学的一些理论和知识。书中还列有200多道习题供有一定数学基础并乐于进行思考的读者探索。

Gilbert Strang's textbooks have changed the entire approach to learning linear algebra -- away from abstract vector spaces to specific examples of the four fundamental subspaces: the column space and nullspace of A and A'.
Introduction to Linear Algebra, Fourth Edition includes challenge problems to complement the review problems that have been highly praised in previous editions. The basic course is followed by seven applications: differential equations, engineering, graph theory, statistics, fourier methods and the FFT, linear programming, and computer graphics.
Thousands of teachers in colleges and universities and now high schools are using this book, which truly explains this crucial subject.
Chapter 1: Introduction to Vectors; Chapter 2: Solving Linear Equations; Chapter 3: Vector Spaces and Subspaces; Chapter 4: Orthogonality; Chapter 5: Determinants; Chapter 6: Eigenvalues and Eigenvectors; Chapter 7: Linear Transformations; Chapter 8: Applications; Chapter 9: Numerical Linear Algebra; Chapter 10: Complex Vectors and Matrices; Solutions to Selected Exercises; Final Exam. Matrix Factorizations. Conceptual Questions for Review. Glossary: A Dictionary for Linear Algebra Index Teaching Codes Linear Algebra in a Nutshell.

Proofs without words are generally pictures or diagrams that help the reader see why a particular mathematical statement may be true, and how one could begin to go about proving it. While in some proofs without words an equation or two may appear to help guide that process, the emphasis is clearly on providing visual clues to stimulate mathematical thought. The proofs in this collection are arranged by topic into five chapters: Geometry and algebra; Trigonometry, calculus and analytic geometry; Inequalities; Integer sums; and Sequences and series. Teachers will find that many of the proofs in this collection are well suited for classroom discussion and for helping students to think visually in mathematics.

银行存款利息、向日葵种子的分布以及圣路易斯大拱门的外形，因为神秘的数字e而有了千丝万缕的联系。e的背后隐藏着无数鲜为人知的传奇，牛顿与莱布尼茨到底谁才是微积分的¬¬发明者？二人的宿怨在科学界引起了怎样的轩然大波？伯努利家族缘何在科学领域称霸了一百多年？数学家约翰伯努利与音乐家巴赫这两位貌似毫无交集的人物会面时是什么情景？听Maor讲述e的故事，一一解开你心中的谜团。
这里包罗万象，既描绘了数学、物理、生物、音乐、金融等众多领域中与e密切相关的现象，也展示了关于e的著名公式、定理和法则。这些趣味横生的历史故事和缜密严谨的数学论断交织在一起，让你从全新的角度去审视这一熟悉又陌生的常数，更让人于走马观花之间了解几千年来数学发展的一个侧影。

《中国科学技术大学精品教材:数学分析教程(上册)(第3版)》分上、下两册。《中国科学技术大学精品教材:数学分析教程(上册)(第3版)》为上册，内容包括实数和数列极限，函数的连续性，函数的导数，Taylor定理，求导的逆运算，甬数的积分，积分学的应用，多变量函数的连续性，多变量函数的微分学，以及多项式的捕值与逼近初步（附录）。书中配有丰富的练习题，可供学生巩固基础知识；同时也有适量的问题，可供学有余力的学生练习，并且书后附有问题的解答或提示，以供参考。

Beginning graduate students in mathematics and other quantitative subjects are expected to have a daunting breadth of mathematical knowledge. But few have such a background. This 2002 book will help students to see the broad outline of mathematics and to fill in the gaps in their knowledge. The author explains the basic points and a few key results of all the most important undergraduate topics in mathematics, emphasizing the intuitions behind the subject. The topics include linear algebra, vector calculus, differential geometry, real analysis, point-set topology, probability, complex analysis, abstract algebra, and more. An annotated bibliography then offers a guide to further reading and to more rigorous foundations. This book will be an essential resource for advanced undergraduate and beginning graduate students in mathematics, the physical sciences, engineering, computer science, statistics, and economics who need to quickly learn some serious mathematics.

Professor Atiyah is one of the greatest living mathematicians and is well known throughout the mathematical world. He is a recipient of the Fields Medal, the mathematical equivalent of the Nobel Prize, and is still at the peak of his career. His huge number of published papers, focusing on the areas of algebraic geometry and topology, have here been collected into six volumes, divided thematically for easy reference by individuals interested in a particular subject. This six volume set of the collected works of Professor Sir Michael Atiyah, includes: "Collected Works - Volume 1 - Early Papers, General Papers"; "Collected Works - Volume 2 - K-Theory"; "Collected Works - Volume 3 - Index Theory - 1"; "Collected Works - Volume 4 - Index Theory - 2"; and "Collected Works - Volume 5 - Gauge Theories". "Collected Works: Volume 6" includes publications since 1987, including his work on skyrmions, "Atiyah's axioms" for topological quantum field theories, monopoles, knots, K-theory, equivariant problems, point particles, and M-theory.

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational geometry are related to particular applications in robotics, graphics, CAD/CAM, and geographic information systems. For students this motivation will be especially welcome. Modern insights in computational geometry are used to provide solutions that are both efficient and easy to understand and implement. All the basic techniques and topics from computational geometry, as well as several more advanced topics, are covered. The book is largely self-contained and can be used for self-study by anyone with a basic background in algorithms. In this third edition, besides revisions to the second edition, new sections discussing Voronoi diagrams of line segments, farthest-point Voronoi diagrams, and realistic input models have been added.

《深度学习》由全球知名的三位专家Ian Goodfellow、Yoshua Bengio 和Aaron Courville撰写，是深度学习领域奠基性的经典教材。全书的内容包括3个部分：第1部分介绍基本的数学工具和机器学习的概念，它们是深度学习的预备知识；第2部分系统深入地讲解现今已成熟的深度学习方法和技术；第3部分讨论某些具有前瞻性的方向和想法，它们被公认为是深度学习未来的研究重点。
《深度学习》适合各类读者阅读，包括相关专业的大学生或研究生，以及不具有机器学习或统计背景、但是想要快速补充深度学习知识，以便在实际产品或平台中应用的软件工程师。

本书包含8篇文章，这些文章系作者们根据他们2014年为中国科学院数学与系统科学院的数学所讲座所做的报告整理而成。这些文章试图用平易近人的语言讲解现代数学的重要内容及其思想、方法和影响，以扩展学生、教师和科研人员的视野、提高数学修养。报告人都是从事数学研究多年的优秀数学家，对数学有深切的认识。

近年来，金融数学的发展离不开随机微积分，而《量子金融(英文版)》提供了一种完全独立于该方法的新方法，将量子力学和量子场论中的数学公式和概念运用到期货理论和利率模型中，重点讲述路径积分。相应的得到了不少新的预期结果。《量子金融(英文版)》主要介绍了金融基本概念：金融基础；衍生证券；有限自由度系统：哈密顿体系和股票期货；路径积分和股票期货；随机利率模型的哈密顿体系和路径积分；利率模型的量子场论：利率远期合约的量子场论；经验利率远期合约和场论模型；国债衍生品场论；利率远期合约和场论哈密顿体系结论。