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  2. Heaviside cover-up method - Wikipedia

    en.wikipedia.org/wiki/Heaviside_cover-up_method

    When a partial fraction term has a single (i.e. unrepeated) binomial in the denominator, the numerator is a residue of the function defined by the input fraction. We calculate each respective numerator by (1) taking the root of the denominator (i.e. the value of x that makes the denominator zero) and (2) then substituting this root into the ...

  3. Indifference curve - Wikipedia

    en.wikipedia.org/wiki/Indifference_curve

    The marginal rate of substitution between perfect substitutes is likewise constant. An example of a utility function that is associated with indifference curves like these would be (,) = +. If two goods are perfect complements then the indifference curves will be L-shaped. Examples of perfect complements include left shoes compared to right ...

  4. Substitution (logic) - Wikipedia

    en.wikipedia.org/wiki/Substitution_(logic)

    For example: ψ: (R → S) & (T → S) is a substitution instance of φ: P & Q. That is, ψ can be obtained by replacing P and Q in φ with (R → S) and (T → S) respectively. Similarly: ψ: (A ↔ A) ↔ (A ↔ A) is a substitution instance of: φ: (A ↔ A) since ψ can be obtained by replacing each A in φ with (A ↔ A).

  5. Euler substitution - Wikipedia

    en.wikipedia.org/wiki/Euler_substitution

    The substitutions of Euler can be generalized by allowing the use of imaginary numbers. For example, in the integral +, the substitution + = + can be used. Extensions to the complex numbers allows us to use every type of Euler substitution regardless of the coefficients on the quadratic.

  6. Cross-multiplication - Wikipedia

    en.wikipedia.org/wiki/Cross-multiplication

    This is a common procedure in mathematics, used to reduce fractions or calculate a value for a given variable in a fraction. If we have an equation =, where x is a variable we are interested in solving for, we can use cross-multiplication to determine that =.

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  8. Non-linear least squares - Wikipedia

    en.wikipedia.org/wiki/Non-linear_least_squares

    Consider a set of data points, (,), (,), …, (,), and a curve (model function) ^ = (,), that in addition to the variable also depends on parameters, = (,, …,), with . It is desired to find the vector of parameters such that the curve fits best the given data in the least squares sense, that is, the sum of squares = = is minimized, where the residuals (in-sample prediction errors) r i are ...

  9. Partial fraction decomposition - Wikipedia

    en.wikipedia.org/wiki/Partial_fraction_decomposition

    In algebra, the partial fraction decomposition or partial fraction expansion of a rational fraction (that is, a fraction such that the numerator and the denominator are both polynomials) is an operation that consists of expressing the fraction as a sum of a polynomial (possibly zero) and one or several fractions with a simpler denominator.

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