Machine learningHigh-Order Projection
Spectral Methods
Spectral Methods are high-order numerical techniques for solving differential equations using global polynomial expansions (e.g., Fourier or Legendre series) rather than local piecewise polynomials. Developed by Steven Orszag in the 1960s for turbulence simulation, they offer exponential convergence for smooth problems, making them ideal for scientific computing when solution regularity is high.
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Sources
- Orszag, S. A. (1969). Numerical methods for the simulation of turbulence. Physics of Fluids Supplements, 12(12), 250–257. DOI: 10.1063/1.1692445 ↗
- Gottlieb, D., & Orzag, S. A. (1977). Numerical Analysis of Spectral Methods: Theory and Applications. SIAM. DOI: 10.1137/1.9781611970425 ↗
- Canuto, C., Hussaini, M. Y., Quarteroni, A., & Zang, T. A. (2006). Spectral Methods: Fundamentals in Single Domains. Springer. DOI: 10.1007/978-3-540-30726-6 ↗