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  2. Continuous uniform distribution - Wikipedia

    en.wikipedia.org/wiki/Continuous_uniform...

    Any probability density function integrates to , so the probability density function of the continuous uniform distribution is graphically portrayed as a rectangle where ⁠ ⁠ is the base length and ⁠ ⁠ is the height. As the base length increases, the height (the density at any particular value within the distribution boundaries) decreases.

  3. Mean value theorem - Wikipedia

    en.wikipedia.org/wiki/Mean_value_theorem

    The expression () gives the slope of the line joining the points (, ()) and (, ()), which is a chord of the graph of , while ′ gives the slope of the tangent to the curve at the point (, ()). Thus the mean value theorem says that given any chord of a smooth curve, we can find a point on the curve lying between the end-points of the chord such ...

  4. Multivariate interpolation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_interpolation

    ) and the interpolation problem consists of yielding values at arbitrary points (,,, … ) {\displaystyle (x,y,z,\dots )} . Multivariate interpolation is particularly important in geostatistics , where it is used to create a digital elevation model from a set of points on the Earth's surface (for example, spot heights in a topographic survey or ...

  5. Probability density function - Wikipedia

    en.wikipedia.org/wiki/Probability_density_function

    In probability theory, a probability density function (PDF), density function, or density of an absolutely continuous random variable, is a function whose value at any given sample (or point) in the sample space (the set of possible values taken by the random variable) can be interpreted as providing a relative likelihood that the value of the ...

  6. Numerical integration - Wikipedia

    en.wikipedia.org/wiki/Numerical_integration

    Interpolation with polynomials evaluated at equally spaced points in [,] yields the Newton–Cotes formulas, of which the rectangle rule and the trapezoidal rule are examples. Simpson's rule , which is based on a polynomial of order 2, is also a Newton–Cotes formula.

  7. Jacobian matrix and determinant - Wikipedia

    en.wikipedia.org/wiki/Jacobian_matrix_and...

    The Jacobian at a point gives the best linear approximation of the distorted parallelogram near that point (right, in translucent white), and the Jacobian determinant gives the ratio of the area of the approximating parallelogram to that of the original square. If m = n, then f is a function from R n to itself and the Jacobian matrix is a ...

  8. Chegg stock crashes as free AI tools send online education ...

    www.aol.com/finance/chegg-stock-crashes-free-ai...

    Chegg stock has lost nearly 70% over the last year and has been roughly cut in half in 2024. From its peak in 2021, the stock is down over 95%. Since the launch of ChatGPT in late 2022 the company ...

  9. Expected value of including uncertainty - Wikipedia

    en.wikipedia.org/wiki/Expected_value_of...

    Decisions are reached through quantitative analysis and model building by simply using a best guess (single value) for each input variable. Decisions are then made on computed point estimates. In many cases, however, ignoring uncertainty can lead to very poor decisions, with estimations for result variables often misleading the decision maker [4]