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  2. MacCormack method - Wikipedia

    en.wikipedia.org/wiki/MacCormack_method

    Predictor step: In the predictor step, a "provisional" value of at time level (denoted by ) is estimated as follows The above equation is obtained by replacing the spatial and temporal derivatives in the previous first order hyperbolic equation using forward differences.

  3. Desmos - Wikipedia

    en.wikipedia.org/wiki/Desmos

    Desmos is a free online platform that offers interactive graphing, geometry, and calculus tools for students and teachers. Learn more about its features and history on Wikipedia.

  4. Mathematics - Wikipedia

    en.wikipedia.org/wiki/Mathematics

    The word mathematics comes from Ancient Greek máthēma (μάθημα), meaning "that which is learnt", [7] "what one gets to know", hence also "study" and "science". The word came to have the narrower and more technical meaning of "mathematical study" even in Classical times.

  5. Predictor–corrector method - Wikipedia

    en.wikipedia.org/wiki/Predictor–corrector_method

    A simple predictor–corrector method (known as Heun's method) can be constructed from the Euler method (an explicit method) and the trapezoidal rule (an implicit method). Consider the differential equation. and denote the step size by . First, the predictor step: starting from the current value , calculate an initial guess value via the Euler ...

  6. Peter Riegel - Wikipedia

    en.wikipedia.org/wiki/Peter_Riegel

    Peter Riegel. Race time prediction formula, running course certification. Peter Riegel (January 30, 1935 – May 28, 2018) was an American research engineer who developed a mathematical formula for predicting race times for runners and other athletes given a certain performance at another distance. The formula has been widely adopted on account ...

  7. Children's Height Predictor - Calculate a Child's Adult Height

    www.webmd.com/.../healthtool-kids-height-predictor

    If you're interested in predicting your child's estimated adult height, this is a tool you'll want to try.

  8. Sample complexity - Wikipedia

    en.wikipedia.org/wiki/Sample_complexity

    The sample complexity of a machine learning algorithm represents the number of training-samples that it needs in order to successfully learn a target function. More precisely, the sample complexity is the number of training-samples that we need to supply to the algorithm, so that the function returned by the algorithm is within an arbitrarily ...

  9. Ovulation Calculator & Calendar - Determine Your Most ... - WebMD

    www.webmd.com/baby/healthtool-ovulation-calculator

    Ovulation Calculator Your menstrual cycle can vary from month to month, and not everyone's is the same length. Use this calculator to see when you may be ovulating to find your most fertile days.