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  2. Sliced inverse regression - Wikipedia

    en.wikipedia.org/wiki/Sliced_inverse_regression

    Sliced inverse regression (SIR) is a tool for dimensionality reduction in the field of multivariate statistics. [ 1 ] In statistics , regression analysis is a method of studying the relationship between a response variable y and its input variable x _ {\displaystyle {\underline {x}}} , which is a p -dimensional vector.

  3. Simple linear regression - Wikipedia

    en.wikipedia.org/wiki/Simple_linear_regression

    We can see that the slope (tangent of angle) of the regression line is the weighted average of (¯) (¯) that is the slope (tangent of angle) of the line that connects the i-th point to the average of all points, weighted by (¯) because the further the point is the more "important" it is, since small errors in its position will affect the ...

  4. Lenstra elliptic-curve factorization - Wikipedia

    en.wikipedia.org/wiki/Lenstra_elliptic-curve...

    Let's choose the elliptic curve y 2 = x 3 + 5x – 5, with the point P = (1, 1) on it, and let's try to compute (10!)P. The slope of the tangent line at some point A=(x, y) is s = (3x 2 + 5)/(2y) (mod n). Using s we can compute 2A. If the value of s is of the form a/b where b > 1 and gcd(a,b) = 1, we have to find the modular inverse of b.

  5. Numerical differentiation - Wikipedia

    en.wikipedia.org/wiki/Numerical_differentiation

    A simple two-point estimation is to compute the slope of a nearby secant line through the points (x, f(x)) and (x + h, f(x + h)). [1] Choosing a small number h , h represents a small change in x , and it can be either positive or negative.

  6. Inverse function - Wikipedia

    en.wikipedia.org/wiki/Inverse_function

    Sometimes, this multivalued inverse is called the full inverse of f, and the portions (such as √ x and − √ x) are called branches. The most important branch of a multivalued function (e.g. the positive square root) is called the principal branch , and its value at y is called the principal value of f −1 ( y ) .

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  8. Secant method - Wikipedia

    en.wikipedia.org/wiki/Secant_method

    In numerical analysis, the secant method is a root-finding algorithm that uses a succession of roots of secant lines to better approximate a root of a function f. The secant method can be thought of as a finite-difference approximation of Newton's method , so it is considered a quasi-Newton method .

  9. Here's Why Urban Outfitters Stock Soared Today - AOL

    www.aol.com/heres-why-urban-outfitters-stock...

    Shares of apparel retailer Urban Outfitters (NASDAQ: URBN) soared on Wednesday after the company reported financial results for its fiscal third quarter of 2025. As of 11:30 a.m. ET, Urban ...