《P进数,P进分析和ζ函数(第2版)(英文版)》讲述了：在数论，表示理论等许多现代数学研究领域中，p进分析占据着非常重要的地位。《P进数,P进分析和ζ函数(第2版)(英文版)》是p进分析的入门教材。主要分两部分内容，首先论述p进分析理论的基本思想，其次介绍p进理论的两个重要应用，即在黎曼ζ函数值为负整数时的p进内插和在一个有限域内方程组的δ函数有理性的证明。可供数学系数论专业的研究生和研究人员参考。

《耶稣会士张诚:路易十四派往中国的五位数学家之一》由伊夫斯·德·托玛斯·德·博西耶尔夫人撰写。此书详细记述了路易十四派往中国的五位数学家之一、法国耶稣会第一任总会长张诚神父的一生，其中主要包括四个部分，第一部分为路易十四的五位数学家的来华经过，第二部分为尼布楚条约的签约过程，第三部分是张诚在跟随康熙皇帝八次赴塞外旅行途中所记日记，第四部分为张诚写给在法国的家人和友人的信，尾部介绍了张诚在礼仪之争中所扮演的角色及与多罗和康熙的关系。

One of the major discoveries of the last two decades of the twentieth century in algebraic geometry is the realization that the theory of minimal models of surfaces can be generalized to higher dimensional varieties. This generalization, called the minimal model program or Mori's program, has developed into a powerful tool with applications to diverse questions in algebraic geometry and beyond. This book provides the a comprehensive introduction to the circle of ideas developed around the program, the prerequisites being only a basic knowledge of algebraic geometry. It will be of great interest to graduate students and researchers working in algebraic geometry and related fields.

The complexity of the brain and the protean nature of behavior remain the most elusive area of science, but also the most important. van Hemmen and Sejnowski invited 23 experts from the many areas--from evolution to qualia--of systems neuroscience to formulate one problem each. Although each chapter was written independently and can be read separately, together they provide a useful roadmap to the field of systems neuroscience and will serve as a source of inspirations for future explorers of the brain.

This book contains lectures presented by Hugh L. Montgomery at the NSF-CBMS Regional Conference held at Kansas State University in May 1990. The book focuses on important topics in analytic number theory that involve ideas from harmonic analysis. One valuable aspect of the book is that it collects material that was either unpublished or that had appeared only in the research literature. This book would be an excellent resource for harmonic analysts interested in moving into research in analytic number theory. In addition, it is suitable as a textbook in an advanced graduate topics course in number theory.

This book presents a historical overview of number theory. It examines texts that span some thirty-six centuries of arithmetical work, from an Old Babylonian tablet to Legendre's Essai sur la Theorie des Nombres, written in 1798. Coverage employs a historical approach in the analysis of problems and evolving methods of number theory and their significance within mathematics. The book also takes the reader into the workshops of four major authors of modern number theory: Fermat, Euler, Lagrange and Legendre and presents a detailed and critical examination of their work.

This book is an English translation of the famous "Green Book" by Lafontaine and Pansu (1979). It has been enriched and expanded with new material to reflect recent progress. Additionally, four appendices, by Gromov on Levy's inequality, by Pansu on "quasiconvex" domains, by Katz on systoles of Riemannian manifolds, and by Semmes overviewing analysis on metric spaces with measures, as well as an extensive bibliography and index round out this unique and beautiful book.

《广义最小二乘问题的理论和计算》总结了各种广义的最小二乘问题的理论与计算的最新成果。主要包括最小二乘问题、总体最小二乘问题、等式约束最小二乘问题以及刚性加权最小二乘问题等的理论与科学计算问题。
由于各种广义奇异值分解在解决矩阵论和数值代数问题中有着重要的作用，书中也较详细地介绍了广义的奇异值分解，并应用于解决若干矩阵论和数值代数问题。《广义最小二乘问题的理论和计算》需要的预备知识为数值代数和矩阵论。
《广义最小二乘问题的理论和计算》可作为研究生和高年级本科生的教材，也可作为计算数学及应用学科中需要科学计算的科技工作者的参考书。

Ten amazing curves personally selected by one of today's most important math writers
Curves for the Mathematically Curious is a thoughtfully curated collection of ten mathematical curves, selected by Julian Havil for their significance, mathematical interest, and beauty. Each chapter gives an account of the history and definition of a curve, providing a glimpse into the elegant and often surprising mathematics involved in its creation and evolution. In telling the ten stories, Havil introduces many mathematicians and other innovators, some whose fame has withstood the passing of years and others who have slipped into comparative obscurity. You will meet Pierre Bézier, who is known for his ubiquitous and eponymous curves, and Adolphe Quetelet, who trumpeted the ubiquity of the normal curve but whose name now hides behind the modern body mass index. These and other ingenious thinkers engaged with the challenges, incongruities, and insights to be found in these remarkable curves--and now you can share in this adventure.
Curves for the Mathematically Curious is a rigorous and enriching mathematical experience for anyone interested in curves, and the book is designed so that readers who choose can follow the details with pencil and paper. Every curve has a story worth telling.

斯图尔特著的《概率论马尔科夫链排队和模拟》是一部讲述如何挖掘蕴藏在模型表现形式背后的数学过程的权威作品。详细的数学推导和大量图例使得更加易于研究生和高年级本科生作为学习随机过程的教材和参考资料。本书应用广泛，也适用于计算科学、工程、运筹学、统计和数学等学科。

《生物信息学中的数学方法引论(影印版)》的特色之一就是没有对所有的生物信息学问题进行泛泛的介绍，而是选择了生物信息学中核心问题之一——序列分析作为《生物信息学中的数学方法引论(影印版)》的主要内容。由于缩小了范围，作者可以在有限的篇幅中更详尽的介绍序列分析的各种数学模型和算法。
This book looks at the mathematical foundations of the modelscurrently in use. This is crucial for the correct interpretation of theoutputs of the models. A bioinformatician should be able not onlyto use software packages， but also to know the mathematics behindthese packages. From this point of view， mathematics departmentsthroughout the world have a major role to play in bioinformaticseducation by teaching courses on the mathematical foundations ofthe subject. Based on the courses taught by the author the bookcombines several topics in biological sequence analysis withmathematical and statistical material required for such analysis.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

In this monograph, p-adic period domains are associated to arbitrary reductive groups. Using the concept of rigid-analytic period maps, the relation of p-adic period domains to moduli space of p-divisible groups is investigated. In addition, non-archimedean uniformization theorems for general Shimura varieties are established. The exposition includes background material on Grothendieck's "mysterious functor" (Fontaine theory), on moduli problems of p-divisible groups, on rigid analytic spaces, and on the theory of Shimura varieties, as well as an exposition of some aspects of Drinfelds' original construction. In addition, the material is illustrated throughout the book with numerous examples.

《三角范畴与导出范畴》前5章讲述三角范畴和导出范畴的基本理论;第6~11章讨论了Frobenius范畴的稳定范畴、Gorenstein同调代数、奇点范畴、Auslander-Reiten三角与Serre对偶、三角范畴的t-结构与粘合等专题。附录提供了《三角范畴与导出范畴》所要用到的范畴论方面的概念和结论。每章均配有习题并包含提示。《三角范畴与导出范畴》强调三角范畴与Abel范畴之间的比较和转化研究。

本书包括组合、图论及它们在优化和编码等领域的应用。全书只有约300页，但涵盖了信息领域一些广泛而有趣的应用，及离散数学领域新颖而前沿的研究课题。
本书非常适合计算机科学、信息与计算科学等专业作为“离散数学”引论课程的教材或参考书。

本书旨在向读者交付有关深度学习的交互式学习体验。书中不仅阐述深度学习的算法原理，还演示它们的实现和运行。与传统图书不同，本书的每一节都是一个可以下载并运行的 Jupyter记事本，它将文字、公式、图像、代码和运行结果结合在了一起。此外，读者还可以访问并参与书中内容的讨论。
全书的内容分为3个部分：第一部分介绍深度学习的背景，提供预备知识，并包括深度学习最基础的概念和技术；第二部分描述深度学习计算的重要组成部分，还解释近年来令深度学习在多个领域大获成功的卷积神经网络和循环神经网络；第三部分评价优化算法，检验影响深度学习计算性能的重要因素，并分别列举深度学习在计算机视觉和自然语言处理中的重要应用。
本书同时覆盖深度学习的方法和实践，主要面向在校大学生、技术人员和研究人员。阅读本书需要读者了解基本的Python编程或附录中描述的线性代数、微分和概率基础。

Since its birth in Poincaré's seminal 1894 "Analysis Situs", topology has become a cornerstone of mathematics. As with all beautiful mathematical concepts, topology inevitably — resonating with that Wignerian principle of the effectiveness of mathematics in the natural sciences — finds its prominent role in physics. From Chern–Simons theory to topological quantum field theory, from knot invariants to Calabi–Yau compactification in string theory, from spacetime topology in cosmology to the recent Nobel Prize winning work on topological insulators, the interactions between topology and physics have been a triumph over the past few decades.
In this eponymous volume, we are honoured to have contributions from an assembly of grand masters of the field, guiding us with their world-renowned expertise on the subject of the interplay between "Topology" and "Physics". Beginning with a preface by Chen Ning Yang on his recollections of the early days, we proceed to a novel view of nuclei from the perspective of complex geometry by Sir Michael Atiyah and Nick Manton, followed by an entrée toward recent developments in two-dimensional gravity and intersection theory on the moduli space of Riemann surfaces by Robbert Dijkgraaf and Edward Witten; a study of Majorana fermions and relations to the Braid group by Louis H Kauffman; a pioneering investigation on arithmetic gauge theory by Minhyong Kim; an anecdote-enriched review of singularity theorems in black-hole physics by Sir Roger Penrose; an adventure beyond anyons by Zhenghan Wang; an aperçu on topological insulators from first-principle calculations by Haijun Zhang and Shou-Cheng Zhang; finishing with synopsis on quantum information theory as one of the four revolutions in physics and the second quantum revolution by Xiao-Gang Wen. We hope that this book will serve to inspire the research community.