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The [analysis of algorithms|analysis, and study of algorithm]s is a discipline of [computer science]. Algorithms are often studied abstractly, without referencing any specific [programming language] or implementation. Algorithm analysis resembles other mathematical disciplines as it focuses on the algorithm's properties, not implementation. [Pseudocode] is typical for analysis as it is a simple and general representation. Most algorithms are implemented on particular hardware/software platforms and their [algorithmic efficiency] is tested using real code. The efficiency of a particular algorithm may be insignificant for many "one-off" problems but it may be critical for algorithms designed for fast interactive, commercial, or long-life scientific usage. Scaling from small n to large n frequently exposes inefficient algorithms that are otherwise benign. === Other scaling limits === A general kind of lossy compression is to lower the resolution of an image, as in [image scaling], particularly [Decimation (signal processing)|decimation]. One may also remove less "lower information" parts of an image, such as by [seam carving]. Many media transforms, such as [Gaussian blur], are, like lossy compression, irreversible: the original signal cannot be reconstructed from the transformed signal. However, in general these will have the same size as the original, and are not a form of compression. Lowering resolution has practical uses, as the [NASA] [New Horizons] craft transmitted [thumbnail]s of its encounter with Pluto-Charon before it sent the higher resolution images. Another solution for slow connections is the usage of [Interlacing (bitmaps)|Image interlacing] which progressively defines the image. Thus a partial transmission is enough to preview the final image, in a lower resolution version, without creating a scaled and a full version too.{{citation needed|date=November 2019}} * [Image scaling] {{Blockquote|"[Legacy code]" often differs from its suggested alternative by actually working and scaling.|[q:Bjarne Stroustrup|Bjarne Stroustrup, creator of C++]}} * [Ridder's method]: 3-point, exponential scaling