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  2. Experimental uncertainty analysis - Wikipedia

    en.wikipedia.org/wiki/Experimental_uncertainty...

    As is good practice in these studies, the results above can be checked with a simulation. Figure 3 shows a histogram of 10000 samples of z, with the PDF given above also graphed; the agreement is excellent. In this simulation the x data had a mean of 10 and a standard deviation of 2. Thus the naive expected value for z would of

  3. Euler method - Wikipedia

    en.wikipedia.org/wiki/Euler_method

    Consider the problem of calculating the shape of an unknown curve which starts at a given point and satisfies a given differential equation. Here, a differential equation can be thought of as a formula by which the slope of the tangent line to the curve can be computed at any point on the curve, once the position of that point has been calculated.

  4. Propagation of uncertainty - Wikipedia

    en.wikipedia.org/wiki/Propagation_of_uncertainty

    A practical application is an experiment in which one measures current, I, and voltage, V, on a resistor in order to determine the resistance, R, using Ohm's law, R = V / I. Given the measured variables with uncertainties, I ± σ I and V ± σ V, and neglecting their possible correlation, the uncertainty in the computed quantity, σ R, is:

  5. Implicit curve - Wikipedia

    en.wikipedia.org/wiki/Implicit_curve

    In general, every implicit curve is defined by an equation of the form (,) = for some function F of two variables. Hence an implicit curve can be considered as the set of zeros of a function of two variables. Implicit means that the equation is not expressed as a solution for either x in terms of y or vice versa.

  6. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    The first degree polynomial equation = + is a line with slope a. A line will connect any two points, so a first degree polynomial equation is an exact fit through any two points with distinct x coordinates. If the order of the equation is increased to a second degree polynomial, the following results:

  7. Circular motion - Wikipedia

    en.wikipedia.org/wiki/Circular_motion

    Likewise, the acceleration is given by = = (), which is a vector perpendicular to both ω and v(t) of magnitude ω | v | = ω 2 r and directed exactly opposite to r(t). [ 1 ] In the simplest case the speed, mass, and radius are constant.

  8. Gauss circle problem - Wikipedia

    en.wikipedia.org/wiki/Gauss_circle_problem

    Gauss's circle problem asks how many points there are inside this circle of the form (,) where and are both integers. Since the equation of this circle is given in Cartesian coordinates by x 2 + y 2 = r 2 {\displaystyle x^{2}+y^{2}=r^{2}} , the question is equivalently asking how many pairs of integers m and n there are such that

  9. Circular error probable - Wikipedia

    en.wikipedia.org/wiki/Circular_error_probable

    [1] [4] That is, if a given munitions design has a CEP of 100 m, when 100 munitions are targeted at the same point, an average of 50 will fall within a circle with a radius of 100 m about that point. There are associated concepts, such as the DRMS (distance root mean square), which is the square root of the average squared distance error, a ...

  1. Related searches formula for uncertainty of a slope form of a circle equation given z and v

    propagation of uncertainty formulaimplicit curve formula