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  2. Householder's method - Wikipedia

    en.wikipedia.org/wiki/Householder's_method

    Suppose f is analytic in a neighborhood of a and f(a) = 0.Then f has a Taylor series at a and its constant term is zero. Because this constant term is zero, the function f(x) / (x − a) will have a Taylor series at a and, when f ′ (a) ≠ 0, its constant term will not be zero.

  3. Halley's method - Wikipedia

    en.wikipedia.org/wiki/Halley's_method

    In numerical analysis, Halley's method is a root-finding algorithm used for functions of one real variable with a continuous second derivative. Edmond Halley was an English mathematician and astronomer who introduced the method now called by his name. The algorithm is second in the class of Householder's methods, after Newton's method.

  4. Root-finding algorithm - Wikipedia

    en.wikipedia.org/wiki/Root-finding_algorithm

    Solving an equation f(x) = g(x) is the same as finding the roots of the function h(x) = f(x) – g(x). Thus root-finding algorithms can be used to solve any equation of continuous functions. However, most root-finding algorithms do not guarantee that they will find all roots of a function, and if such an algorithm does not find any root, that ...

  5. Linux namespaces - Wikipedia

    en.wikipedia.org/wiki/Linux_namespaces

    A user namespace contains a mapping table converting user IDs from the container's point of view to the system's point of view. This allows, for example, the root user to have user ID 0 in the container but is actually treated as user ID 1,400,000 by the system for ownership checks. A similar table is used for group ID mappings and ownership ...

  6. Polynomial root-finding - Wikipedia

    en.wikipedia.org/wiki/Polynomial_root-finding

    The oldest method of finding all roots is to start by finding a single root. When a root r has been found, it can be removed from the polynomial by dividing out the binomial x – r. The resulting polynomial contains the remaining roots, which can be found by iterating on this process.

  7. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    Moreover, the hypothesis on F′ ensures that X k + 1 is at most half the size of X k when m is the midpoint of Y, so this sequence converges towards [x*, x*], where x* is the root of f in X. If F ′ ( X ) strictly contains 0, the use of extended interval division produces a union of two intervals for N ( X ) ; multiple roots are therefore ...

  8. Brent's method - Wikipedia

    en.wikipedia.org/wiki/Brent's_method

    Suppose that we want to solve the equation f(x) = 0. As with the bisection method, we need to initialize Dekker's method with two points, say a 0 and b 0, such that f(a 0) and f(b 0) have opposite signs. If f is continuous on [a 0, b 0], the intermediate value theorem guarantees the existence of a solution between a 0 and b 0.

  9. Extraneous and missing solutions - Wikipedia

    en.wikipedia.org/wiki/Extraneous_and_missing...

    We are not taking the square root of any negative values here, since both and are necessarily positive. But we have lost the solution x = − 2. {\displaystyle x=-2.} The reason is that x {\displaystyle x} is actually not in general the positive square root of x 2 . {\displaystyle x^{2}.}