enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. Quotient rule - Wikipedia

    en.wikipedia.org/wiki/Quotient_rule

    In calculus, the quotient rule is a method of finding the derivative of a function that is the ratio of two differentiable functions. Let () = (), where both f and g are differentiable and () The quotient rule states that the derivative of h(x) is

  3. Milne-Thomson method for finding a holomorphic function

    en.wikipedia.org/wiki/Milne-Thomson_method_for...

    Example 2: ⁡ = ⁡ ⁡ + ... but the answers to the easier problems 1 and 2 are needed for proving the answers to problems 3 and 4. ... is the partial derivative of

  4. Racetrack principle - Wikipedia

    en.wikipedia.org/wiki/Racetrack_principle

    In calculus, the racetrack principle describes the movement and growth of two functions in terms of their derivatives.. This principle is derived from the fact that if a horse named Frank Fleetfeet always runs faster than a horse named Greg Gooseleg, then if Frank and Greg start a race from the same place and the same time, then Frank will win.

  5. Differential calculus - Wikipedia

    en.wikipedia.org/wiki/Differential_calculus

    In the neighbourhood of x 0, for a the best possible choice is always f(x 0), and for b the best possible choice is always f'(x 0). For c, d, and higher-degree coefficients, these coefficients are determined by higher derivatives of f. c should always be ⁠ f''(x 0) / 2 ⁠, and d should always be ⁠ f'''(x 0) / 3! ⁠.

  6. Exact differential equation - Wikipedia

    en.wikipedia.org/wiki/Exact_differential_equation

    Given a simply connected and open subset D of and two functions I and J which are continuous on D, an implicit first-order ordinary differential equation of the form (,) + (,) =,is called an exact differential equation if there exists a continuously differentiable function F, called the potential function, [1] [2] so that

  7. Newton's method - Wikipedia

    en.wikipedia.org/wiki/Newton's_method

    This is the case, for example, if f(x) = x 3 − 2x + 2. For this function, it is even the case that Newton's iteration as initialized sufficiently close to 0 or 1 will asymptotically oscillate between these values. For example, Newton's method as initialized at 0.99 yields iterates 0.99, −0.06317, 1.00628, 0.03651, 1.00196, 0.01162, 1.00020 ...

  8. Numerical differentiation - Wikipedia

    en.wikipedia.org/wiki/Numerical_differentiation

    h := sqrt(eps) * x; xph := x + h; dx := xph - x; slope := (F(xph) - F(x)) / dx; However, with computers, compiler optimization facilities may fail to attend to the details of actual computer arithmetic and instead apply the axioms of mathematics to deduce that dx and h are the same.

  9. Liouville's theorem (differential algebra) - Wikipedia

    en.wikipedia.org/wiki/Liouville's_theorem...

    A proof of Liouville's theorem can be found in section 12.4 of Geddes, et al. [4] See Lützen's scientific bibliography for a sketch of Liouville's original proof [5] (Chapter IX. Integration in Finite Terms), its modern exposition and algebraic treatment (ibid. §61).