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  2. Chegg - Wikipedia

    en.wikipedia.org/wiki/Chegg

    Purdue University prohibits students soliciting answers using Chegg's homework help: "While Chegg can be helpful to access textbooks and more practice problems, using this resource to find assignment answers is considered academic dishonesty because it is a form of copying and plagiarism.". [55]

  3. 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.

  4. Eigenvalues and eigenvectors - Wikipedia

    en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

    Points in the top half are moved to the right, and points in the bottom half are moved to the left, proportional to how far they are from the horizontal axis that goes through the middle of the painting. The vectors pointing to each point in the original image are therefore tilted right or left, and made longer or shorter by the transformation.

  5. Why Chegg Stock Is Up Big Today - AOL

    www.aol.com/finance/why-chegg-stock-big-today...

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  6. Chebyshev nodes - Wikipedia

    en.wikipedia.org/wiki/Chebyshev_nodes

    The projected points, in red, are the Chebyshev nodes. In numerical analysis , Chebyshev nodes are a set of specific real algebraic numbers , used as nodes for polynomial interpolation . They are the projection of equispaced points on the unit circle onto the real interval [ − 1 , 1 ] , {\displaystyle [-1,1],} the diameter of the circle.

  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. Multivariate interpolation - Wikipedia

    en.wikipedia.org/wiki/Multivariate_interpolation

    In numerical analysis, multivariate interpolation or multidimensional interpolation is interpolation on multivariate functions, having more than one variable or defined over a multi-dimensional domain. [1] A common special case is bivariate interpolation or two-dimensional interpolation, based on two variables or two dimensions.

  9. Parametric equation - Wikipedia

    en.wikipedia.org/wiki/Parametric_equation

    In mathematics, a parametric equation expresses several quantities, such as the coordinates of a point, as functions of one or several variables called parameters. [ 1 ] In the case of a single parameter, parametric equations are commonly used to express the trajectory of a moving point, in which case, the parameter is often, but not ...