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Encyclopedia of Computer Science and Technology

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420 scientific computing applicationstransmitted from a remote location (telemetry). See spaceexploration <strong>and</strong> computers.Data AnalysisThe analysis <strong>of</strong> data to obtain theoretical underst<strong>and</strong>ing <strong>of</strong>the processes <strong>of</strong> nature also greatly benefits from the power<strong>of</strong> computers ranging from ordinary PCs to high-performancescientific workstations to large supercomputers. Thepossible significance <strong>of</strong> variables can be determined by statisticaltechniques (see also statistics <strong>and</strong> computing).The fundamental task in underst<strong>and</strong>ing any systemis to isolate the significant variables <strong>and</strong> determine howthey affect one another. In many cases this can be done bysolving differential equations, where a dependent variablechanges as a result <strong>of</strong> changes in one or more independentvariables. For example, the classical Maxwell theory<strong>of</strong> wave behavior is a system <strong>of</strong> differential equations thatcould be used to underst<strong>and</strong>, for example, how radar waveswill bounce <strong>of</strong>f an object with a given shape <strong>and</strong> reflectivity.However, real-world objects have complicating factors:A given problem may include aspects <strong>of</strong> wave behavior,electromagnetic interaction, deformation <strong>of</strong> material, <strong>and</strong>so on. While the great scientists <strong>of</strong> the late 19th to mid-20thcentury could develop elegant formulas showing key relationshipsin nature, the interaction <strong>of</strong> many different phenomena<strong>of</strong>ten requires much more formidable computationthat must be applied to many individual components.It might be considered fortunate that the computer camealong at about the time that it was required for furtherscientific progress. However, another way to look at it isto note that much <strong>of</strong> the pressure that led to investment inthe development <strong>of</strong> computers came from that very needfor computational resources, albeit primarily for wartimeprojects.Simulation <strong>and</strong> VisualizationEven if scientists have a basic underst<strong>and</strong>ing <strong>of</strong> a system,it may be hard to determine what the overall results <strong>of</strong> theinteraction <strong>of</strong> the many particles (or other elements) in thesystem will be. This is true, for example, in the analysis <strong>of</strong>events taking place in nuclear reactors. Fortunately computerscan apply the laws <strong>of</strong> the system to each <strong>of</strong> manyparticles <strong>and</strong> determine the resulting actions from theiraggregate behavior (see simulation). Simulation is particularlyimportant in fields where actual experiments are notpossible because <strong>of</strong> distance or time. Thus, a hypothesisabout the formation <strong>of</strong> the universe can be tested by applyingit to a set <strong>of</strong> initial conditions believed to reflect those ator near the time <strong>of</strong> the big bang.However, even the most skilled scientists have troublerelating numbers to the shape <strong>and</strong> interaction <strong>of</strong> real-worldobjects. <strong>Computer</strong>s have greatly aided in making it possibleto visualize structures <strong>and</strong> phenomena using high-resolution3D color graphics (see computer graphics). Features<strong>Computer</strong> processing <strong>of</strong> photographic or scanned data can provide detailed information about our environment. In this NASA test project,aerial <strong>and</strong> satellite imagery is analyzed to yield information about the ripeness <strong>of</strong> grapes in a vineyard, as well as moisture, soil conditions,<strong>and</strong> plant disease. (NASA photo)

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