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Herausgeber: 
  • Manoj Sahni
  • Ritu Sahni
  • Sharanjeet Dhawan
  • Ajender Kumar Malik
  • Strategic Approaches to Problem Solving in Science and Engineering 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (September 2026)  
    Genre:  Wirtschaft / Recht 
     
    Automatic control engineering / computer science / Digital and Information technology# general topics / Engineering# general / Hydraulic Engineering / Information technology# general issues / Intelligent Systems / machine learning
    ISBN:  9781032861104 
    EAN-Code: 
    9781032861104 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Seiten:  224 
    Illustration:  schwarz-weiss Illustrationen, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:

    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 their 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.

      



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