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  2. Multivariable calculus - Wikipedia

    en.wikipedia.org/wiki/Multivariable_calculus

    Multivariable calculus (also known as multivariate calculus) is the extension of calculus in one variable to calculus with functions of several variables: the differentiation and integration of functions involving multiple variables ( multivariate ), rather than just one. [1]

  3. Second partial derivative test - Wikipedia

    en.wikipedia.org/wiki/Second_partial_derivative_test

    Second partial derivative test. The Hessian approximates the function at a critical point with a second-degree polynomial. In mathematics, the second partial derivative test is a method in multivariable calculus used to determine if a critical point of a function is a local minimum, maximum or saddle point .

  4. Matrix calculus - Wikipedia

    en.wikipedia.org/wiki/Matrix_calculus

    In mathematics, matrix calculus is a specialized notation for doing multivariable calculus, especially over spaces of matrices.It collects the various partial derivatives of a single function with respect to many variables, and/or of a multivariate function with respect to a single variable, into vectors and matrices that can be treated as single entities.

  5. Multiple integral - Wikipedia

    en.wikipedia.org/wiki/Multiple_integral

    In mathematics (specifically multivariable calculus ), a multiple integral is a definite integral of a function of several real variables, for instance, f(x, y) or f(x, y, z) . Integrals of a function of two variables over a region in (the real-number plane) are called double integrals, and integrals of a function of three variables over a ...

  6. Directional derivative - Wikipedia

    en.wikipedia.org/wiki/Directional_derivative

    t. e. A directional derivative is a concept in multivariable calculus that measures the rate at which a function changes in a particular direction at a given point. [citation needed] The directional derivative of a multivariable differentiable (scalar) function along a given vector v at a given point x intuitively represents the instantaneous ...

  7. Implicit function theorem - Wikipedia

    en.wikipedia.org/wiki/Implicit_function_theorem

    In multivariable calculus, the implicit function theorem [a] is a tool that allows relations to be converted to functions of several real variables. It does so by representing the relation as the graph of a function. There may not be a single function whose graph can represent the entire relation, but there may be such a function on a ...

  8. Partial derivative - Wikipedia

    en.wikipedia.org/wiki/Partial_derivative

    In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held constant (as opposed to the total derivative, in which all variables are allowed to vary). Partial derivatives are used in vector calculus and differential geometry .

  9. Vector calculus - Wikipedia

    en.wikipedia.org/wiki/Vector_calculus

    Vector calculus or vector analysis is a branch of mathematics concerned with the differentiation and integration of vector fields, primarily in three-dimensional Euclidean space, . The term vector calculus is sometimes used as a synonym for the broader subject of multivariable calculus , which spans vector calculus as well as partial ...

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