Page 2: Research news on Numerical techniques

Numerical techniques are computational methods for approximating solutions to mathematical problems that lack closed-form expressions or are analytically intractable. They encompass algorithms for root finding, numerical integration and differentiation, solution of linear and nonlinear systems, eigenvalue problems, optimization, and numerical solution of ordinary and partial differential equations. These techniques rely on discretization, iteration, and error analysis, with careful attention to stability, convergence, conditioning, and computational complexity. They are implemented using floating-point arithmetic and often exploit matrix factorizations, interpolation, finite difference, finite element, or spectral methods to achieve controllable accuracy within specified tolerances.

Inverse-designed 2D magnonic crystals widen spin-wave band gaps

Spin waves (SWs), or magnons, are collective excitations of magnetization in magnetic materials arising from electron spins. They have attracted considerable attention as information carriers and have shown promise in logic ...

A new 'library' for Feynman integrals

Theoretical physicists at Johannes Gutenberg University Mainz (JGU) have developed a new method of ordering Feynman integrals. This critical step in making theoretical predictions for high-energy precision measurements has ...

Molecular nanostructures can be activated using ultrasound

Researchers from Heinrich Heine University Düsseldorf (HHU) have taken an important step toward developing intelligent molecular materials. The team headed by Dr. Bernd M. Schmidt (Institute of Organic Chemistry and Macromolecular ...

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