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  2. Singer Model 27 and 127 - Wikipedia

    en.wikipedia.org/wiki/Singer_Model_27_and_127

    Two decades later, when the patents had expired and the Sewing Machine Combination patent pool had dispersed, White Sewing Machine Company employees D'Arcy Porter and George W. Baker built a new machine that made successful use of it. The "White Sewing Machine", as it was first named, entered production in 1876. It was popular in its time, and ...

  3. Differential of a function - Wikipedia

    en.wikipedia.org/wiki/Differential_of_a_function

    The differential was first introduced via an intuitive or heuristic definition by Isaac Newton and furthered by Gottfried Leibniz, who thought of the differential dy as an infinitely small (or infinitesimal) change in the value y of the function, corresponding to an infinitely small change dx in the function's argument x.

  4. Differentiation rules - Wikipedia

    en.wikipedia.org/wiki/Differentiation_rules

    The derivative of the function at a point is the slope of the line tangent to the curve at the point. The slope of the constant function is 0, because the tangent line to the constant function is horizontal and its angle is 0.

  5. Derivative - Wikipedia

    en.wikipedia.org/wiki/Derivative

    The tangent line is the best linear approximation of the function near that input value. For this reason, the derivative is often described as the instantaneous rate of change, the ratio of the instantaneous change in the dependent variable to that of the independent variable. [1] The process of finding a derivative is called differentiation.

  6. Notation for differentiation - Wikipedia

    en.wikipedia.org/wiki/Notation_for_differentiation

    It is particularly common when the equation y = f(x) is regarded as a functional relationship between dependent and independent variables y and x. Leibniz's notation makes this relationship explicit by writing the derivative as: [ 1 ] d y d x . {\displaystyle {\frac {dy}{dx}}.}

  7. Numerical differentiation - Wikipedia

    en.wikipedia.org/wiki/Numerical_differentiation

    A simple two-point estimation is to compute the slope of a nearby secant line through the points (x, f(x)) and (x + h, f(x + h)). [1] Choosing a small number h, h represents a small change in x, and it can be either positive or negative. The slope of this line is (+) ().

  8. Partial derivative - Wikipedia

    en.wikipedia.org/wiki/Partial_derivative

    In this section the subscript notation f y denotes a function contingent on a fixed value of y, and not a partial derivative. Once a value of y is chosen, say a, then f(x,y) determines a function f a which traces a curve x 2 + ax + a 2 on the xz-plane: = + +.

  9. Second derivative - Wikipedia

    en.wikipedia.org/wiki/Second_derivative

    The second derivative of a function f can be used to determine the concavity of the graph of f. [2] A function whose second derivative is positive is said to be concave up (also referred to as convex), meaning that the tangent line near the point where it touches the function will lie below the graph of the function.

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