Modeling and Simulation in Python

Filling a gap in the literature and all set to become the standard in this field, this monograph begins with a look at computational viscoelastic fluid mechanics and studies of turbulent flows of dilu

Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-dr

Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular

Modeling and simulation (M&S) is increasingly becoming a central activity in the development of new and existing systems because it enables designers and researchers to manage systems complexity a

學習如何利用Python來充分發揮建模和模擬的潛力，建立逼真的模型，輕鬆解決複雜而重要的問題。 釋放預測的力量，本書揭開了宇宙的秘密並掌握預測的藝術！從帝國大廈投擲一分錢到一杯咖啡的溫度變化，您將學習如何建立模型、編寫Python程式來類比它們、並使用這些模型來預測和解釋系統的行為。利用迭代建模、分析、符號計算等方法，實作從共享自行車系統到人口模型等各種模型。 本書非常適合希望提高對模型和模擬理解能力的各領域學生和專業人士。讀者無需具備程式設計、科學或工程方面的知識。每章都有一個可下載的Jupyter筆記本，您可以輕鬆使用程式碼進行實驗，並學以致用。 透過本書您將可以： *建立世界人口模型、預測增長極限並進行未來預測 *模擬傳染病的傳播和廣泛接種疫苗的影響 *分析葡萄糖和胰島素在濃度隨時間變化時的交互作用 *探索棒球等投擲物和溜溜球等旋轉物體的物理學原理 *使用優化方法來確定在芬威球場擊出全壘打所需的力度

Analysis, modeling, and simulation for better understanding of diverse complex natural and social phenomena often require powerful tools and analytical methods. Tractable approaches, however, can be d

Lattice Boltzmann method (LBM) is a relatively new simulation technique for the modeling of complex fluid systems and has attracted interest from researchers in computational physics. Unlike the tradi

●Presentation provides a balance of theory and practice, emphasize dynamic behavior, physical and empirical modeling, computer simulation, measurement and control technology, fundamental control concepts, and advanced control strategies.●Material is divided into reasonably short chapters to make it more readable and modular. This organization allows some chapters to be omitted without a loss of continuity.●The mathematical level of the book is oriented toward a junior or senior student in chemical engineering who has taken at least one course in differential equations.●Additional mathematical tools required for the analysis of control systems are introduced as needed. The authors emphasize process control techniques that are used in practice and provide detailed mathematical analysis only when it is essential for understanding the material.●Key theoretical concepts are illustrated with numerous examples, exercises, and simulations.

The work done in chaotic modeling and simulation during the last decades has changed our views of the world around us and has introduced new scientific tools, methods and techniques. Advanced topics o