Mathematical Methods in Dynamical Systems (eBook, PDF)

Redaktion: Chakraverty, S.; Jena, Subrat Kumar

• Format: PDF

Produktbeschreibung

Mathematical Methods in Dynamical Systems offers problem solving techniques and includes different analytical, semi-analytical, numerical and machine intelligence methods for finding exact and/or approximate solutions of governing equations arising in dynamical systems.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 392
• Erscheinungstermin: 19. Mai 2023
• Englisch
• ISBN-13: 9781000833775
• Artikelnr.: 67694994

Autorenporträt

S. Chakraverty, Subrat Kumar Jena

Inhaltsangabe

1. Dynamical Problems for Generally Anisotropic Shells With the GDQ Method.
2. Dynamical Problems of Functionally Graded Non-Uniform Nanoplates under
Thermal Field. 3. Effect of External Resistances on Energy Harvesting
Behaviour of Porous Functionally Graded Magneto-Electro-Elastic Beam. 4.
Mass Resonator Sensor and Its Inverse Problems. 5. Axial Wave Propagation
of Carbon Nanorod Conveying Fluid with Elastic Support using Nonlocal
Continuum Elasticity. 6. Differential Transformation and Adomian
Decomposition Methods for the Radiation Effect on Marangoni Boundary Layer
Flow of Carbon Nanotubes. 7. Min-Max Game Theory for Coupled Partial
Differential Equation Systems in Fluid Structure. 8. Numerical Simulation
for Time Fractional Integro Partial Differential Equations Arising in
Viscoelastic Dynamical System. 9. From Continuous Time Random Walk Models
to Human Decision-Making Modeling: A Fractional Perspective. 10. Dynamics
of Slender Single-Link Flexible Robotic Manipulator Based on Timoshenko
Beam Theory. 11. Non-Probabilistic Solution of Imprecisely Defined
Structural Problem with Beams and Trusses using Interval Finite Element
Methods. 12. Linear Eigenvalue Problems in Dynamic Structure With
Uncertainty: An Expectation Based Approach. 13. Dynamical Approach to
Forecast Decentralized Currency Exchange Value with Respect to Indian
National Rupees. 14. Curriculum Learning-Based Approach to Design an
Unsupervised Neural Model for Solving Emden-Fowler Type Equations of the
Third-Order.