Line Integral Methods for Conservative Problems. The book explains the numerical solution of differential equations within the framework of geometric integration, a branch of numerical analysis that devises numerical methods able to reproduce (in the discrete solution) relevant geometric properties of the continuous vector field. The book focuses on a large set of differential systems named conservative problems, particularly Hamiltonian systems. Assuming only basic knowledge of numerical quadrature and Runge-Kutta methods, this self-contained book begins with an introduction to the line integral methods. It describes numerous Hamiltonian problems encountered in a variety of applications and presents theoretical results concerning the main instance of line integral methods: the energy-conserving Runge-Kutta methods, also known as Hamiltonian boundary value methods (HBVMs). The authors go on to address the implementation of HBVMs in order to recover in the numerical solution what was expected from the theory. The book also covers the application of HBVMs to handle the numerical solution of Hamiltonian partial differential equations (PDEs) and explores extensions of the energy-conserving methods. With many examples of applications, this book provides an accessible guide to the subject yet gives you enough details to allow concrete use of the methods. MATLAB codes for implementing the methods are available online

References in zbMATH (referenced in 38 articles , 1 standard article )

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  1. Iavernaro, F.; Mazzia, F.; Mukhametzhanov, M. S.; Sergeyev, Ya. D.: Computation of higher order Lie derivatives on the infinity computer (2021)
  2. Amodio, Pierluigi; Brugnano, Luigi; Iavernaro, Felice: Analysis of spectral Hamiltonian boundary value methods (SHBVMs) for the numerical solution of ODE problems (2020)
  3. Barletti, Luigi; Brugnano, Luigi; Tang, Yifa; Zhu, Beibei: Spectrally accurate space-time solution of Manakov systems (2020)
  4. Brugnano, Luigi; Iavernaro, Felice; Zhang, Ruili: Arbitrarily high-order energy-preserving methods for simulating the gyrocenter dynamics of charged particles (2020)
  5. Castillo, Paul; Gómez, Sergio: Conservative super-convergent and hybrid discontinuous Galerkin methods applied to nonlinear Schrödinger equations (2020)
  6. Citro, Vincenzo; D’Ambrosio, Raffaele: Nearly conservative multivalue methods with extended bounded parasitism (2020)
  7. Deng, Dingwen; Liang, Dong: The energy-preserving finite difference methods and their analyses for system of nonlinear wave equations in two dimensions (2020)
  8. Iavernaro, F.; Mazzia, F.; Mukhametzhanov, M. S.; Sergeyev, Ya. D.: Conjugate-symplecticity properties of Euler-Maclaurin methods and their implementation on the infinity computer (2020)
  9. Jiang, Chaolong; Wang, Yushun; Gong, Yuezheng: Arbitrarily high-order energy-preserving schemes for the Camassa-Holm equation (2020)
  10. Xie, Jianqiang; Liang, Dong; Zhang, Zhiyue: Two novel energy dissipative difference schemes for the strongly coupled nonlinear space fractional wave equations with damping (2020)
  11. Xie, Jianqiang; Zhang, Zhiyue: Efficient linear energy dissipative difference schemes for the coupled nonlinear damped space fractional wave equations (2020)
  12. Achouri, Talha: Conservative finite difference scheme for the nonlinear fourth-order wave equation (2019)
  13. Amodio, Pierluigi; Brugnano, Luigi; Iavernaro, Felice: A note on the continuous-stage Runge-Kutta(-Nyström) formulation of Hamiltonian boundary value methods (HBVMs) (2019)
  14. Brugnano, Luigi; Gurioli, Gianmarco; Sun, Yajuan: Energy-conserving Hamiltonian boundary value methods for the numerical solution of the Korteweg-de Vries equation (2019)
  15. Brugnano, Luigi; Iavernaro, Felice; Montijano, Juan I.; Rández, Luis: Spectrally accurate space-time solution of Hamiltonian PDEs (2019)
  16. Brugnano, Luigi; Montijano, Juan I.; Rández, Luis: On the effectiveness of spectral methods for the numerical solution of multi-frequency highly oscillatory Hamiltonian problems (2019)
  17. Frasca-Caccia, Gianluca; Hydon, Peter E.: Locally conservative finite difference schemes for the modified KdV equation (2019)
  18. Jiang, Chaolong; Cai, Wenjun; Wang, Yushun: A linearly implicit and local energy-preserving scheme for the sine-Gordon equation based on the invariant energy quadratization approach (2019)
  19. Li, Haochen; Hong, Qi: An efficient energy-preserving algorithm for the Lorentz force system (2019)
  20. Li, Jiyong; Wu, Xinyuan: Energy-preserving continuous stage extended Runge-Kutta-Nyström methods for oscillatory Hamiltonian systems (2019)

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