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  1. Compression (physics) - Wikipedia

    In mechanics, compression is the application of balanced inward ("pushing") forces to different points on a material or structure, that is, forces with no net sum or torque directed so as to reduce its size in one or more directions. [1]

  2. Compression - Wikipedia

    Compression Look up compression or compressor in Wiktionary, the free dictionary.

  3. Data compression - Wikipedia

    The design of data compression schemes involves balancing the degree of compression, the amount of distortion introduced (when using lossy data compression), and the computational resources or time required to compress and decompress the data.

  4. Compressive strength - Wikipedia

    In a compression test, there is a linear region where the material follows Hooke's law. Hence, for this region, where, this time, E refers to the Young's modulus for compression. In this region, the material deforms elastically and returns to its original length when the stress is removed.

  5. Compression set - Wikipedia

    This has the formal name compression set under constant deflection in air. The specimen is compressed to 75% of its original height for a set time and at a set temperature (sample is compressed to .75 of its original height).

  6. Compressibility - Wikipedia

    In thermodynamics and fluid mechanics, the compressibility (also known as the coefficient of compressibility[1] or, if the temperature is held constant, the isothermal compressibility[2]) is a measure of the instantaneous relative volume change of a fluid or solid as a response to a pressure (or mean stress) change. In its simple form, the compressibility (denoted β in some …

  7. Data compression ratio - Wikipedia

    Data compression ratio, also known as compression power, is a measurement of the relative reduction in size of data representation produced by a data compression algorithm. It is typically expressed as the division of uncompressed size by compressed size.

  8. Lempel–Ziv–Welch - Wikipedia

    This example has been constructed to give reasonable compression on a very short message. In real text data, repetition is generally less pronounced, so longer input streams are typically necessary before the compression builds up efficiency.