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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. Counterexample - Wikipedia

    en.wikipedia.org/wiki/Counterexample

    In the latter case, a counterexample would be a rectangle that is not a square, such as a rectangle with two sides of length 5 and two sides of length 7. However, despite having found rectangles that were not squares, all the rectangles she did find had four sides. She then makes the new conjecture "All rectangles have four sides".

  5. 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.

  6. 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.

  7. Initial value problem - Wikipedia

    en.wikipedia.org/wiki/Initial_value_problem

    The Banach fixed point theorem is then invoked to show that there exists a unique fixed point, which is the solution of the initial value problem. An older proof of the Picard–Lindelöf theorem constructs a sequence of functions which converge to the solution of the integral equation, and thus, the solution of the initial value problem.

  8. Newton–Cotes formulas - Wikipedia

    en.wikipedia.org/wiki/Newton–Cotes_formulas

    It is assumed that the value of a function f defined on [,] is known at + equally spaced points: < < <.There are two classes of Newton–Cotes quadrature: they are called "closed" when = and =, i.e. they use the function values at the interval endpoints, and "open" when > and <, i.e. they do not use the function values at the endpoints.

  9. Free variables and bound variables - Wikipedia

    en.wikipedia.org/wiki/Free_variables_and_bound...

    Note: we define a location in an expression as a leaf node in the syntax tree. Variable binding occurs when that location is below the node n. In the lambda calculus, x is a bound variable in the term M = λx. T and a free variable in the term T. We say x is bound in M and free in T. If T contains a subterm λx. U then x is rebound in this term.