Related topics: galaxies · model

Traditional computers can solve some quantum problems

There has been a lot of buzz about quantum computers and for good reason. The futuristic computers are designed to mimic what happens in nature at microscopic scales, which means they have the power to better understand the ...

Physicists shed light on a different kind of chaos

Physicists at UC Santa Barbara, the University of Maryland, and the University of Washington have found an answer to the longstanding physics question: How do interparticle interactions affect dynamical localization?

Researchers report counterintuitive friction effect

When two metal surfaces slide against each other, a variety of complicated phenomena occur that lead to friction and wear: Small crystalline regions, of which metals are typically composed, can be deformed, twisted or broken, ...

Elusive atmospheric wave detected during Tonga volcanic eruption

The catastrophic eruption of the Hunga Tonga–Hunga Haʻapai volcano in 2022 triggered a special atmospheric wave that has eluded detection for the past 85 years. Researchers from the University of Hawaiʻi at Mānoa, Japan ...

New lensless camera creates 3D images from a single exposure

Researchers have developed a camera that uses a thin microlens array and new image processing algorithms to capture 3D information about objects in a scene with a single exposure. The camera could be useful for a variety ...

page 1 from 3

Simulation

Simulation is the imitation of some real thing, state of affairs, or process. The act of simulating something generally entails representing certain key characteristics or behaviours of a selected physical or abstract system.

Simulation is used in many contexts, including the modeling of natural systems or human systems in order to gain insight into their functioning. Other contexts include simulation of technology for performance optimization, safety engineering, testing, training and education. Simulation can be used to show the eventual real effects of alternative conditions and courses of action.

Key issues in simulation include acquisition of valid source information about the relevent selection of key characteristics and behaviours, the use of simplifying approximations and assumptions within the simulation, and fidelity and validity of the simulation outcomes.

This text uses material from Wikipedia, licensed under CC BY-SA