A Conservation Law Method Based on Optimization

  • Bin Shi
  • S. S. Iyengar


This chapter is organized as follows: In Sect. 8.1, we warm up with an analytical solution for simple 1-D quadratic function. In Sect. 8.2, we propose the artificially dissipating energy algorithm, energy conservation algorithm, and the combined algorithm based on the symplectic Euler scheme, and remark a second-order scheme—the Störmer–Verlet scheme. In Sect. 8.3, we propose the locally theoretical analysis for high-speed convergence. Section 8.4 proposes the experimental demonstration. In Sect. 8.4, we propose the experimental result for the proposed algorithms on strongly convex, non-strongly convex, and non-convex functions in high dimension. Finally, we propose some perspective view for the proposed algorithms and two adventurous ideas based on the evolution of Newton’s second law—fluid and quantum.


Hamiltonian system Convex function Local maxima Local minima Trajectory Störmer–Verlet scheme Eigen values Saddle points 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Bin Shi
    • 1
  • S. S. Iyengar
    • 2
  1. 1.University of CaliforniaBerkeleyUSA
  2. 2.Florida International UniversityMiamiUSA

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