Strategic Approaches to Problem Solving in Science and Engineering (Advancing Science and Engineering through Artificial Intelligence, Machine Learning, and Mathematical Modeling)

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Strategic Approaches to Problem Solving in Science and Engineering (Advancing Science and Engineering through Artificial Intelligence, Machine Learning, and Mathematical Modeling)

  • ウェブストア価格 ¥34,963(本体¥31,785)
  • CRC Press(2026/09発売)
  • 外貨定価 US$ 150.00
  • 【ウェブストア限定】サマー・ポイント5倍キャンペーン 対象商品(~7/20)※店舗受取は対象外
  • ポイント 1,585pt
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  • 製本 Hardcover:ハードカバー版/ページ数 176 p.
  • 言語 ENG
  • 商品コード 9781032861104

Full Description

This book serves as a comprehensive resource that highlights innovative practices and techniques within the realm of approximation methods. The book not only explores the theoretical aspects of approximation but also delves into its practical applications across a range of domains.

Features:

Discusses the application of wavelets to develop computational schemes for solving mathematical models, offering a valuable approach to handle a variety of complex phenomena.
Presents an inventory model designed for managing inevitable stock containing deteriorating objects, with a focus on time-dependent requirements and factors such as stationary holding and cost debilitation rates.
Explores the numerical solution of two-dimensional, viscous magnetohydrodynamic (MHD) flow along a constant wedge through a porous medium.
Showcases a stability analysis of thermal convection in a Jeffrey ferromagnetic fluid, focusing on both linear and weakly nonlinear aspects.
Highlights an innovative mathematical modeling approach to address sustainability concerns in mixing problems, specifically considering the integration of renewable energy sources.

The text is primarily written for senior undergraduates, graduate students, and academic researchers in the fields including electrical engineering, electronics and communications engineering, computer science and engineering, manufacturing engineering, and industrial and production engineering.

Contents

Chapter 1. Exploring Stock-Price Dependencies for Cost Optimization in the Presence of Demand Fluctuations, Inflation, and Backlogs. Chapter 2. An Inventory Model with Learning Effect Under Reliability-dependent Demand. Chapter 3. Inventory Model for Inevitable Stock with Deteriorating Objects Requirement Dependent on Time Precipitously and Stationary Holding with Cost Debilitation Rate. Chapter 4. Analysis of Particle Swarm Optimization-based Inventory Model with Non-instantaneous Deteriorating Items. Chapter 5. A Novel Approach to Mathematical Modeling on Sustainability of Mixing Problems with Renewable Energy. Chapter 6. Linear and Weakly Nonlinear Stability Analysis of Thermal Convection in Jeffrey Ferromagnetic Fluid: Fourier Series Truncated Approximation. Chapter 7. A New Approach for Solving Generalized Function in Fractional Calculus Rate. Chapter 8. Analysis of Quality of Services (QoS) for Wireless Sensor Network. Chapter 9. Computational Approximation Techniques for Evaluating Electromagnetic Quantities. Chapter 10. Analysis of AI-Based Emotion Recognition Techniques in Online Learning Systems. Chapter 11. Approximation in the Dynamics of Chaotic Maps using Modified Mann Orbit. Chapter 12. PINN Framework for Advection-diffusion Models. Chapter 13. Content Marketing Performance Measurement Through OWA Operator.

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