Introduction to Combinatorics

Introduction to Combinatorics pdf epub mobi txt 电子书 下载 2026

出版者:
作者:Erickson, Martin J.
出品人:
页数:208
译者:
出版时间:1996-9
价格:0
装帧:
isbn号码:9780471154082
丛书系列:
图书标签:
  • mathematics
  • combinatorics
  • 组合数学
  • 离散数学
  • 数学
  • 组合论
  • 计数原理
  • 图论
  • 排列组合
  • 数学教材
  • 高等教育
  • 数学基础
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具体描述

Combinatorics is the study of how discrete sets are arranged, counted, and constructed. This book details several general theories: the Ramsey theory, the Plya theory of counting, and the probabilistic method. It provides a basic framework in which to introduce fundamental results, discuss interconnections and problem solving techniques, and collect open problems.

Exploring the Tapestry of Discrete Structures: A Journey into the Realm of Counting and Arrangement This book embarks on a comprehensive exploration of the fundamental principles that govern discrete structures, venturing into the fascinating world of counting, arrangement, and enumeration. It is a journey designed to equip readers with a robust understanding of the combinatorial landscape, a field that underpins vast swathes of mathematics, computer science, and beyond. Rather than focusing on a singular, narrow application, this work aims to provide a broad and deep foundation, allowing readers to perceive the intricate patterns and relationships that emerge when we dissect and analyze finite sets and their properties. The initial chapters lay the groundwork by delving into the foundational concepts of counting. We begin with the simplest yet most powerful tools: the sum rule and the product rule. These seemingly elementary principles are the bedrock upon which more complex counting strategies are built. Readers will learn to systematically approach counting problems, breaking them down into manageable parts that can be analyzed using these core rules. This section will meticulously illustrate how to identify disjoint sets and independent choices, the prerequisites for applying these rules effectively. Examples will range from straightforward scenarios like counting the number of ways to choose an outfit from a given wardrobe to more nuanced problems involving sequences of decisions. Building upon these basic rules, we then introduce the concepts of permutations and combinations. The distinction between these two is crucial, and the book will dedicate ample space to clarifying when order matters (permutations) and when it does not (combinations). We will explore the formulas for calculating the number of permutations of n objects taken r at a time, including both permutations with and without repetition. Similarly, the binomial coefficient and its significance in calculating combinations will be thoroughly examined. The text will provide numerous examples demonstrating the application of these formulas in diverse contexts, such as arranging letters in a word, selecting a committee from a group, and dealing cards in a game. The concept of combinations with repetition will also be introduced, broadening the scope of problems that can be solved. As we progress, the narrative shifts to explore more sophisticated counting techniques. Generating functions, a powerful algebraic tool, will be introduced as a method for solving complex combinatorial problems. Readers will learn how to represent sequences of numbers as power series and how to manipulate these series to extract combinatorial information. The book will demonstrate how generating functions can be used to solve recurrence relations, count partitions of integers, and tackle problems involving arrangements with restrictions. This section will be rich with examples, illustrating the elegance and efficiency of this approach. Recurrence relations themselves will receive significant attention. We will learn to define problems in terms of smaller, similar subproblems, leading to recursive definitions. The book will cover various methods for solving linear homogeneous and non-homogeneous recurrence relations with constant coefficients, including characteristic equations and the method of undetermined coefficients. Classic examples like the Fibonacci sequence and the Tower of Hanoi puzzle will be revisited and solved using these techniques, showcasing their power and versatility. The concept of the Principle of Inclusion-Exclusion will be another cornerstone of our exploration. This principle provides a systematic way to count the size of the union of multiple sets by accounting for overlaps. The book will present the general formula and illustrate its application through a variety of problems, such as counting numbers divisible by certain primes or determining the number of derangements (permutations where no element appears in its original position). The power of this principle lies in its ability to handle complex counting scenarios that might otherwise be intractable. Graph theory, a field intrinsically linked to combinatorics, will also be explored. The book will introduce the fundamental concepts of graphs, including vertices, edges, paths, cycles, and connectivity. We will delve into various types of graphs, such as directed and undirected graphs, complete graphs, bipartite graphs, and trees. The combinatorial aspects of graph theory will be emphasized, including counting the number of spanning trees of a graph (Cayley's formula), analyzing graph coloring problems, and understanding Eulerian and Hamiltonian paths and circuits. Applications in areas like network analysis and scheduling will be highlighted. Furthermore, the book will delve into the realm of combinatorial designs. This area deals with the existence and construction of finite sets with specific properties, often related to arrangements and selections. Topics such as block designs (e.g., Steiner triple systems) will be introduced, providing insights into how structured collections of elements can be formed to satisfy certain conditions. The beauty of this area lies in its ability to reveal elegant mathematical structures within seemingly abstract arrangements. The text will also touch upon aspects of enumerative combinatorics, focusing on techniques for counting objects with specific properties. This includes exploring Catalan numbers, which arise in a surprisingly wide array of combinatorial problems, from counting binary trees to determining the number of ways to stack coins. The relationship between Catalan numbers and other combinatorial objects will be thoroughly investigated. Throughout the book, emphasis will be placed on developing problem-solving skills. Readers will be encouraged to think critically, identify the underlying combinatorial structure of a problem, and choose the most appropriate counting technique. The book will feature a rich collection of exercises, ranging from routine practice problems to more challenging theoretical questions, designed to solidify understanding and foster mathematical maturity. Hints and solutions for selected problems will be provided to aid the learning process. The target audience for this book is broad, encompassing undergraduate students in mathematics, computer science, and related fields, as well as researchers and practitioners seeking to enhance their understanding of discrete structures. No prior advanced knowledge of combinatorics is assumed, though a solid foundation in basic set theory and mathematical reasoning will be beneficial. The language is clear and accessible, aiming to demystify complex concepts and make the subject engaging. In essence, this book offers a comprehensive and rigorous introduction to the core principles and techniques of combinatorics. It is a gateway to understanding how to count, arrange, and analyze discrete objects, unlocking a deeper appreciation for the mathematical elegance that permeates the world around us. The journey promises to be intellectually rewarding, equipping readers with a powerful toolkit for tackling a wide range of challenging problems in mathematics and its applications.

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从阅读体验的角度来看,这本书的排版和插图设计简直是教科书的典范。在这个充斥着密密麻麻公式和冗长文字的时代,一本让人愿意捧在手里细细品读的书是多么难得!作者似乎非常清楚读者的“视觉疲劳”问题,他们巧妙地利用了留白和不同的字体样式来区分定义、定理和关键注释。特别是在介绍一些涉及集合论或网络结构的概念时,配图的质量高得惊人,它们不是那种敷衍了事的示意图,而是经过精心设计的、能够立刻揭示问题核心结构的视觉辅助工具。我甚至发现,有些复杂的递归关系,通过书中的特定图示展示出来,比用文字描述一页纸的效果都要好得多。这种对细节的关注,体现了作者对教学艺术的深刻理解。它让学习过程变成了一种视觉享受,极大地降低了阅读的挫败感,使得即便是最枯燥的证明部分,也变得更容易消化和吸收。

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然而,即便是一本如此出色的教材,也并非没有值得商榷之处,当然,我的“批评”更像是对完美之作的吹毛求疵。我认为,在处理某些前沿或更具挑战性的领域,例如代数组合学(Algebraic Combinatorics)的入门介绍部分,可以再做一些铺垫工作。虽然作者的本意可能是保持全书的流畅性,但对于那些已经具备一定线性代数基础、渴望进一步探索更深层次结构美感的读者来说,某些关键概念的引入显得略微仓促,缺乏足够的“预热”。这导致在跨越到更高阶的理论框架时,读者可能需要额外参考其他资料来巩固这些过渡性的知识点。虽然这不妨碍它成为一本优秀的基础教材,但如果能将那些连接基础与前沿的“桥梁”搭建得更为坚固和详尽一些,这本书的价值和适用范围将能覆盖到更广泛的学习群体,尤其是那些具有强烈探究精神的研究者,他们需要的是从“知道”到“精通”之间的无缝衔接。

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这本书最让我印象深刻的一点,是它对于“应用”的强调,它完美地平衡了理论的抽象性与现实世界问题的相关性。很多纯理论的数学书读完后,读者常常会疑惑:“我学这些究竟有什么用?”然而,这本书从始至终都在努力打消这种疑虑。它没有停留在传统的数学竞赛范畴内,而是巧妙地融入了现代计算机科学、数据分析乃至运筹学中的经典案例。例如,在讨论容斥原理时,书中不仅给出了标准的集合论推导,还引入了解决数据库查询冲突或网络路由优化问题的实例。这种与时俱进的内容设置,让我切实感受到组合数学的强大生命力和解决现实世界复杂问题的潜力。它不再是象牙塔里的知识,而是可以立即投入实践的强大工具箱。对于那些希望未来从事算法设计或数据科学领域的学生来说,这本书提供的视角无疑是宝贵的“加分项”。

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这本书简直是为那些刚踏入离散数学这片广袤领域的新手量身定做的“指路明灯”!它的叙述方式极其平易近人,完全没有那种高深莫测的学院派腔调。我记得我第一次接触组合数学时,那些公式和定义简直像天书一样难以理解,但这本书的作者似乎深知我们的困境,他们巧妙地将复杂的概念拆解成一个个可以触摸、可以感知的“小积木”。比如,在讲解鸽巢原理时,作者没有直接抛出抽象的数学符号,而是通过一系列生动有趣的生活实例——从分袜子到安排会议日程——让我们在不知不觉中掌握了其精髓。更令人称道的是,书中的例题设计得非常用心,它们不仅是检验理解程度的工具,更像是通往更深层次思考的阶梯。即便是最基础的排列组合问题,作者也总能挖掘出其背后的结构美感。读完前几章,我感觉自己像是得到了一个万能钥匙,突然间,那些曾经困扰我的数学难题,似乎都变得可以迎刃而解了。对于那些希望扎实打好基础,并真正“爱上”这门学科的读者来说,这本书无疑是一个绝佳的起点,它让你对“数数”这件事重新产生了敬畏和热情。

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这本书的深度和广度,足以让那些自诩对组合学有所了解的读者也感到惊喜。我特别欣赏作者在处理高级主题时的那种严谨又不失灵活性的态度。举个例子,当涉及到生成函数(Generating Functions)的讨论时,很多教材往往只是简单地展示如何利用它们来解决特定的计数问题,但这本书却花了大量的篇幅去深入探讨了它们在其他数学分支,比如微分方程和概率论中的优雅应用。这种跨学科的视角极大地拓宽了我的视野,让我明白了组合学绝非孤立的学科,而是连接整个数学大厦的坚固桥梁。书中的证明过程详尽而富有洞察力,每一个逻辑跳转都清晰可见,很少出现需要读者自行“脑补”的跳跃式推理,这对于需要进行严格学术训练的研究生来说尤其重要。我发现自己不仅仅是在学习如何“计算”,更是在学习一种严谨的数学思维方式。那些关于图论和组合设计的章节,更是展现了作者深厚的学术功底,内容组织层次分明,结构清晰,简直可以作为未来研究的参考手册。

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