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.

Building big with DNA gets a software upgrade

Forty-four years ago, Nadrian Seeman published his groundbreaking ideas on using DNA as a structural material, expanding DNA's significance far beyond its role as a carrier of genetic information. Since then, the steadily ...

Untangling the meta-biomaterial puzzle one property at a time

From repairing damaged tissues to developing better implants, many medical developments depend on materials that can mimic the complex properties of human tissue. Meta-biomaterials are among the most promising candidates. ...

Manganese's emission lines shine a light on galactic evolution

In a new study, a team of astronomers has identified wavelengths of light that could be useful for tracing the chemical evolution of the universe. Using computational modeling to simulate how electrons interact with manganese ...

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