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  2. Discriminant - Wikipedia

    en.wikipedia.org/wiki/Discriminant

    Geometrically, the discriminant of a quadratic form in three variables is the equation of a quadratic projective curve. The discriminant is zero if and only if the curve is decomposed in lines (possibly over an algebraically closed extension of the field). A quadratic form in four variables is the equation of a projective surface.

  3. Quadratic function - Wikipedia

    en.wikipedia.org/wiki/Quadratic_function

    A univariate quadratic function can be expressed in three formats: [2] = + + is called the standard form, = () is called the factored form, where r 1 and r 2 are the roots of the quadratic function and the solutions of the corresponding quadratic equation.

  4. Quadratic equation - Wikipedia

    en.wikipedia.org/wiki/Quadratic_equation

    Figure 1. Plots of quadratic function y = ax 2 + bx + c, varying each coefficient separately while the other coefficients are fixed (at values a = 1, b = 0, c = 0). A quadratic equation whose coefficients are real numbers can have either zero, one, or two distinct real-valued solutions, also called roots.

  5. Linear discriminant analysis - Wikipedia

    en.wikipedia.org/wiki/Linear_discriminant_analysis

    Linear discriminant analysis (LDA), normal discriminant analysis (NDA), canonical variates analysis (CVA), or discriminant function analysis is a generalization of Fisher's linear discriminant, a method used in statistics and other fields, to find a linear combination of features that characterizes or separates two or more classes of objects or ...

  6. Quadratic form - Wikipedia

    en.wikipedia.org/wiki/Quadratic_form

    The discriminant of a quadratic form, concretely the class of the determinant of a representing matrix in K / (K ×) 2 (up to non-zero squares) can also be defined, and for a real quadratic form is a cruder invariant than signature, taking values of only "positive, zero, or negative".

  7. Second partial derivative test - Wikipedia

    en.wikipedia.org/wiki/Second_partial_derivative_test

    Therefore, the second condition, that f xx be greater (or less) than zero, could equivalently be that f yy or tr(H) = f xx + f yy be greater (or less) than zero at that point. A condition implicit in the statement of the test is that if f x x = 0 {\displaystyle f_{xx}=0} or f y y = 0 {\displaystyle f_{yy}=0} , it must be the case that D ( a , b ...

  8. Cubic function - Wikipedia

    en.wikipedia.org/wiki/Cubic_function

    The critical points of a cubic function are its stationary points, that is the points where the slope of the function is zero. [2] Thus the critical points of a cubic function f defined by f(x) = ax 3 + bx 2 + cx + d, occur at values of x such that the derivative + + = of the cubic function is zero. The solutions of this equation are the x ...

  9. Cusp (singularity) - Wikipedia

    en.wikipedia.org/wiki/Cusp_(singularity)

    Let f (x, y) be a smooth function of x and y and assume, for simplicity, that f (0, 0) = 0. Then a type A 2-singularity of f at (0, 0) can be characterised by: Having a degenerate quadratic part, i.e. the quadratic terms in the Taylor series of f form a perfect square, say L(x, y) 2, where L(x, y) is linear in x and y, and