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  2. Function of several real variables - Wikipedia

    en.wikipedia.org/wiki/Function_of_several_real...

    The image of a function f(x 1, x 2, …, x n) is the set of all values of f when the n-tuple (x 1, x 2, …, x n) runs in the whole domain of f.For a continuous (see below for a definition) real-valued function which has a connected domain, the image is either an interval or a single value.

  3. 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.

  4. Let expression - Wikipedia

    en.wikipedia.org/wiki/Let_expression

    The scope of the function name is limited to the let expression structure. In mathematics, the let expression defines a condition, which is a constraint on the expression. The syntax may also support the declaration of existentially quantified variables local to the let expression. The terminology, syntax and semantics vary from language to ...

  5. Multivalued function - Wikipedia

    en.wikipedia.org/wiki/Multivalued_function

    As a consequence, arctan(1) is intuitively related to several values: π /4, 5 π /4, −3 π /4, and so on. We can treat arctan as a single-valued function by restricting the domain of tan x to − π /2 < x < π /2 – a domain over which tan x is monotonically increasing. Thus, the range of arctan(x) becomes − π /2 < y < π /2.

  6. Iterated function - Wikipedia

    en.wikipedia.org/wiki/Iterated_function

    Thus, if one can solve for one iterated function system, one also has solutions for all topologically conjugate systems. For example, the tent map is topologically conjugate to the logistic map. As a special case, taking f(x) = x + 1, one has the iteration of g(x) = h −1 (h(x) + 1) as g n (x) = h −1 (h(x) + n), for any function h.

  7. Multi-objective optimization - Wikipedia

    en.wikipedia.org/wiki/Multi-objective_optimization

    Multi-objective optimization or Pareto optimization (also known as multi-objective programming, vector optimization, multicriteria optimization, or multiattribute optimization) is an area of multiple-criteria decision making that is concerned with mathematical optimization problems involving more than one objective function to be optimized simultaneously.

  8. Order of operations - Wikipedia

    en.wikipedia.org/wiki/Order_of_operations

    [6] [7] [a] The parentheses can be omitted if the input is a single numerical variable or constant, [2] as in the case of sin x = sin(x) and sin π = sin(π). [a] Traditionally this convention extends to monomials; thus, sin 3x = sin(3x) and even sin ⁠ 1 / 2 ⁠ xy = sin(xy/2), but sin x + y = sin(x) + y, because x + y is not a monomial ...

  9. Multiplicity (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Multiplicity_(mathematics)

    Let z 0 be a root of a holomorphic function f, and let n be the least positive integer such that the n th derivative of f evaluated at z 0 differs from zero. Then the power series of f about z 0 begins with the n th term, and f is said to have a root of multiplicity (or “order”) n. If n = 1, the root is called a simple root. [4]