segunda-feira, 25 de agosto de 2014
INTERPOLAÇÃO: esclarecimentos científicos sobre nomes que, nascendo ortograficamente errados, e sem maternidade identificável, se podem retroactivamente constituir como ideias incríveis
«I shall then suggest that ideology “acts” or “functions” in such a way that it “recruits” subjects among the individuals (it recruits them all), or “transforms” the individuals into subjects (it transforms them all) by that very precise operation which I have called interpellation or hailing, and which can be imagined along the lines of the most commonplace everyday police (or other) hailing: “Hey, you there!” Assuming that the theoretical scene I have imagined takes place in the street, the hailed individual will turn round. By this mere one-hundred-and-eighty-degree physical conversion, he becomes a subject».
ALTHUSSER, Louis, «Ideology and Ideological State Apparatuses (Notes Towards an Investigation)». In Durham, Meenakshi Gigi & Kellner, Douglas M., Media and Cultural Studies – Keyworks. Malden, Oxford e Carlton: Blackwell Publishing Ltd., 2006, pág. 86.
«In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points.
In engineering and science, one often has a number of data points, obtained by sampling or experimentation, which represent the values of a function for a limited number of values of the independent variable. It is often required to interpolate (i.e. estimate) the value of that function for an intermediate value of the independent variable. This may be achieved by curve fitting or regression analysis.
A different problem which is closely related to interpolation is the approximation of a complicated function by a simple function. Suppose the formula for some given function is known, but too complex to evaluate efficiently. A few known data points from the original function can be used to create an interpolation based on a simpler function. Of course, when a simple function is used to estimate data points from the original, interpolation errors are usually present; however, depending on the problem domain and the interpolation method used, the gain in simplicity may be of greater value than the resultant loss in accuracy.»