Elliptic Partial Differential Equations: Theory and Practical Applications with Python
暫譯: 橢圓型偏微分方程:理論與 Python 實務應用

Flux, Jamie

  • 出版商: Independently Published
  • 出版日期: 2024-07-26
  • 售價: $1,300
  • 貴賓價: 9.8$1,274
  • 語言: 英文
  • 頁數: 262
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798334184688
  • ISBN-13: 9798334184688
  • 相關分類: 工程數學 Engineering-mathematicsPython
  • 無法訂購

商品描述

Discover the fascinating world of Elliptic Partial Differential Equations with this comprehensive guide, packed with theory and practical applications. This book, equipped with Python code and multiple-choice review questions for each chapter, is perfect for both beginners and experienced mathematicians looking to delve deeper into this intriguing field.

Key Features:
- A comprehensive exploration of various types of elliptic partial differential equations, from Laplace's equation to the De Giorgi-Nash-Moser theorem.
- Practical applications in diverse fields such as electrostatics, heat transfer, acoustics, and more, providing real-world relevance to the concepts discussed.
- Each chapter includes Python code examples, allowing readers to understand and implement the theories in a practical way.
- Multiple-choice review questions at the end of each chapter help reinforce key concepts and test your understanding.

Book Description:
Elliptic Partial Differential Equations: Theory and Practical Applications is an in-depth guide that takes you on a journey through the theoretical foundations and practical implications of elliptic partial differential equations. Each chapter provides a thorough exploration of a specific equation, starting with its historical background and mathematical formulation. From there, you'll dive into fundamental solutions, boundary value problems, and their applications in various fields, including electrostatics, heat transfer, acoustics, and more.

Throughout the book, Python code examples are provided to help you grasp the concepts discussed and implement them in your own projects. Whether you're a beginner looking to understand the fundamentals of elliptic partial differential equations or an experienced mathematician seeking to expand your knowledge, this book offers a comprehensive and practical approach to the subject.

What You Will Learn:
- The history, mathematical formulation, and fundamental solutions of various types of elliptic partial differential equations.
- Practical applications of these equations in fields such as electrostatics, heat transfer, acoustics, fluid dynamics, and more.
- Implementation of elliptic partial differential equations using Python code examples.
- Theoretical insights into the regularity of solutions and maximum principles for these equations.
- Analytical and numerical techniques to solve elliptic partial differential equations.
- Understanding of complex analysis, quantum mechanics, and their applications in Schrödinger equations.

Who This Book Is For:
This book is perfect for mathematics students, researchers, and professionals interested in exploring the theory and practical applications of elliptic partial differential equations. It is also suitable for those with a background in Python programming who want to deepen their understanding of this intriguing field. The multiple-choice review questions at the end of each chapter make it an excellent resource for self-study and exam preparation.

商品描述(中文翻譯)

探索橢圓偏微分方程的迷人世界,這本全面的指南充滿了理論和實際應用。本書配備了 Python 代碼和每章的選擇題回顧問題,適合初學者和希望深入了解這一引人入勝領域的經驗豐富的數學家。

主要特點:
- 全面探討各類橢圓偏微分方程,從拉普拉斯方程到 De Giorgi-Nash-Moser 定理。
- 在靜電學、熱傳導、聲學等多個領域的實際應用,為所討論的概念提供現實相關性。
- 每章包括 Python 代碼示例,幫助讀者以實際方式理解和實現理論。
- 每章結尾的選擇題回顧問題有助於鞏固關鍵概念並測試您的理解。

書籍描述:
《橢圓偏微分方程:理論與實際應用》是一本深入的指南,帶您探索橢圓偏微分方程的理論基礎和實際意涵。每章提供對特定方程的徹底探討,從其歷史背景和數學表述開始。接著,您將深入了解基本解、邊值問題及其在靜電學、熱傳導、聲學等多個領域的應用。

在整本書中,提供了 Python 代碼示例,幫助您掌握所討論的概念並在自己的項目中實現它們。無論您是希望了解橢圓偏微分方程基本原理的初學者,還是希望擴展知識的經驗豐富的數學家,本書都提供了全面且實用的學習方法。

您將學到的內容:
- 各類橢圓偏微分方程的歷史、數學表述和基本解。
- 這些方程在靜電學、熱傳導、聲學、流體動力學等領域的實際應用。
- 使用 Python 代碼示例實現橢圓偏微分方程。
- 對這些方程解的正則性和最大原則的理論見解。
- 解決橢圓偏微分方程的分析和數值技術。
- 理解複分析、量子力學及其在薛丁格方程中的應用。

本書適合對橢圓偏微分方程的理論和實際應用感興趣的數學學生、研究人員和專業人士。對於希望加深對這一引人入勝領域理解的 Python 程式設計背景人士也非常合適。每章結尾的選擇題回顧問題使其成為自學和考試準備的優秀資源。

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