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Engineering - Computational Intelligence and Complexity | Structure-Preserving Algorithms for Oscillatory Differential Equations

Structure-Preserving Algorithms for Oscillatory Differential Equations

Wu, Xinyuan, You, Xiong, Wang, Bin

Jointly published with Science Press Beijing

2013, XII, 238 p. 183 illus., 3 illus. in color.

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  • Includes recent advances in the ARKN methods, ERKN methods, two-step ERKN methods, energy-preserving methods, etc.
  • Focuses on new and important development of rooted-tree and B-series theories with applications in derivation of order conditions for new RKN-type methods
  • Places emphasis on the structure-preserving properties and computational efficiency of newly developed integrators

Structure-Preserving Algorithms for Oscillatory Differential Equations describes a large number of highly effective and efficient structure-preserving algorithms for second-order oscillatory differential equations by using theoretical analysis and numerical validation. Structure-preserving algorithms for differential equations, especially for oscillatory differential equations, play an important role in the accurate simulation of oscillatory problems in applied sciences and engineering. The book discusses novel advances in the ARKN, ERKN, two-step ERKN, Falkner-type and energy-preserving methods, etc. for oscillatory differential equations.

The work is intended for scientists, engineers, teachers and students who are interested in structure-preserving algorithms for differential equations. Xinyuan Wu is a professor at Nanjing University; Xiong You is an associate professor at Nanjing Agricultural University; Bin Wang is a joint Ph.D student of Nanjing University and University of Cambridge.

Content Level » Research

Keywords » ARKN Method - ERKN Method - Second-order Oscillatory Differential Equation - Structure-preserving Algorithm

Related subjects » Computational Intelligence and Complexity - Computational Science & Engineering - Theoretical, Mathematical & Computational Physics

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