field sequential method

  • 101P versus NP problem — Unsolved problems in computer science Is P = NP ? …

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  • 102Computer data storage — 1 GB of SDRAM mounted in a personal computer. An example of primary storage …

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  • 103Mathematical psychology — Psychology …

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  • 104Protein nuclear magnetic resonance spectroscopy — (usually abbreviated protein NMR) is a field of structural biology in which NMR spectroscopy is used to obtain information about the structure and dynamics of proteins. The field was pioneered by, among others, Kurt Wüthrich, who shared the Nobel …

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  • 105Level set (data structures) — In computer science a level set data structure is designed to represent discretely sampled dynamic level sets functions.A common use of this form of data structure is in efficient image rendering.Chronological developmentsThe powerful level set… …

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  • 106climate — /kluy mit/, n. 1. the composite or generally prevailing weather conditions of a region, as temperature, air pressure, humidity, precipitation, sunshine, cloudiness, and winds, throughout the year, averaged over a series of years. 2. a region or… …

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  • 107geochronology — geochronologic /jee oh kron l oj ik/, geochronological, adj. geochronologist, n. /jee oh kreuh nol euh jee/, n. the chronology of the earth, as based on both absolute and relative methods of age determination. [1890 95; GEO + CHRONOLOGY] * * *… …

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  • 108Transistor — For other uses, see Transistor (disambiguation). Assorted discrete transistors. Packages in order from top to bottom: TO 3, TO 126, TO 92, SOT 23 A transistor is a semiconductor device used to amplify and switch electronic signals and power. It… …

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  • 109Product lifecycle management — (PLM) is the process of managing the entire lifecycle of a product from its conception, through design and manufacture, to service and disposal. [cite web title = About PLM publisher = CIMdata url = http://www.cimdata.com/PLM/aboutPLM.html ] PLM… …

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  • 110Convex optimization — Convex minimization, a subfield of optimization, studies the problem of minimizing convex functions over convex sets. Given a real vector space X together with a convex, real valued function defined on a convex subset of X, the problem is to find …

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