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  2. Markov spectrum - Wikipedia

    en.wikipedia.org/wiki/Markov_spectrum

    Consider a quadratic form given by f(x,y) = ax 2 + bxy + cy 2 and suppose that its discriminant is fixed, say equal to −1/4. In other words, b 2 − 4ac = 1. One can ask for the minimal value achieved by | (,) | when it is evaluated at non-zero vectors of the grid , and if this minimum does not exist, for the infimum.

  3. Taylor's theorem - Wikipedia

    en.wikipedia.org/wiki/Taylor's_theorem

    of an infinitely many times differentiable function f : R → R as its "infinite order Taylor polynomial" at a. Now the estimates for the remainder imply that if, for any r, the derivatives of f are known to be bounded over (a − r, a + r), then for any order k and for any r > 0 there exists a constant M k,r > 0 such that

  4. Quadratic formula - Wikipedia

    en.wikipedia.org/wiki/Quadratic_formula

    The roots of the quadratic function y = ⁠ 1 / 2x 2 − 3x + ⁠ 5 / 2 ⁠ are the places where the graph intersects the x-axis, the values x = 1 and x = 5. They can be found via the quadratic formula. In elementary algebra, the quadratic formula is a closed-form expression describing the solutions of a quadratic equation.

  5. Quadratic function - Wikipedia

    en.wikipedia.org/wiki/Quadratic_function

    If a quadratic function is equated with zero, then the result is a quadratic equation. The solutions of a quadratic equation are the zeros (or roots) of the corresponding quadratic function, of which there can be two, one, or zero. The solutions are described by the quadratic formula. A quadratic polynomial or quadratic function can involve ...

  6. Second derivative - Wikipedia

    en.wikipedia.org/wiki/Second_derivative

    This is the quadratic function whose first and second derivatives are the same as those of f at a given point. The formula for the best quadratic approximation to a function f around the point x = a is () + ′ () + ″ (). This quadratic approximation is the second-order Taylor polynomial for the function centered at x = a.

  7. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    This can be seen in the following tables, the left of which shows Newton's method applied to the above f(x) = x + x 4/3 and the right of which shows Newton's method applied to f(x) = x + x 2. The quadratic convergence in iteration shown on the right is illustrated by the orders of magnitude in the distance from the iterate to the true root (0,1 ...

  8. Second fundamental form - Wikipedia

    en.wikipedia.org/wiki/Second_fundamental_form

    First suppose that the surface is the graph of a twice continuously differentiable function, z = f(x,y), and that the plane z = 0 is tangent to the surface at the origin. Then f and its partial derivatives with respect to x and y vanish at (0,0). Therefore, the Taylor expansion of f at (0,0) starts with quadratic terms:

  9. Quadratic form - Wikipedia

    en.wikipedia.org/wiki/Quadratic_form

    An integral quadratic form has integer coefficients, such as x 2 + xy + y 2; equivalently, given a lattice Λ in a vector space V (over a field with characteristic 0, such as Q or R), a quadratic form Q is integral with respect to Λ if and only if it is integer-valued on Λ, meaning Q(x, y) ∈ Z if x, y ∈ Λ.