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  2. Matplotlib - Wikipedia

    en.wikipedia.org/wiki/Matplotlib

    Matplotlib (portmanteau of MATLAB, plot, and library [3]) is a plotting library for the Python programming language and its numerical mathematics extension NumPy.It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, wxPython, Qt, or GTK.

  3. Root locus analysis - Wikipedia

    en.wikipedia.org/wiki/Root_locus_analysis

    The following Python code can also be used to calculate and plot the root locus of the closed-loop transfer function using the Python Control Systems Library [14] and Matplotlib [15]. import control as ct import matplotlib.pyplot as plt # Define the transfer function sys = ct .

  4. Hubbert linearization - Wikipedia

    en.wikipedia.org/wiki/Hubbert_linearization

    The above relation is a line equation in the P/Q versus Q plane. Consequently, a linear regression on the data points gives us an estimate of the line slope calculated by -k/URR and intercept from which we can derive the Hubbert curve parameters: The k parameter is the intercept of the vertical axis. The URR value is the intercept of the ...

  5. Fermat's spiral - Wikipedia

    en.wikipedia.org/wiki/Fermat's_spiral

    The Fermat spiral with polar equation = can be converted to the Cartesian coordinates (x, y) by using the standard conversion formulas x = r cos φ and y = r sin φ.Using the polar equation for the spiral to eliminate r from these conversions produces parametric equations for one branch of the curve:

  6. Goodman relation - Wikipedia

    en.wikipedia.org/wiki/Goodman_relation

    The Goodman line is much safer consideration than the Gerber parabola because it is completely inside the Gerber parabola and excludes some of area which is nearby to failure region. The Soderberg Line connects σ y {\displaystyle \sigma _{\text{y}}} on the abscissa and σ w {\displaystyle \sigma _{\text{w}}} on the ordinate, which is more ...

  7. Curve fitting - Wikipedia

    en.wikipedia.org/wiki/Curve_fitting

    Polynomial curves fitting points generated with a sine function. The black dotted line is the "true" data, the red line is a first degree polynomial, the green line is second degree, the orange line is third degree and the blue line is fourth degree. The first degree polynomial equation = + is a line with slope a. A line will connect any two ...

  8. Subsidy Scorecards: Longwood University

    projects.huffingtonpost.com/projects/ncaa/...

    SOURCE: Integrated Postsecondary Education Data System, Longwood University (2014, 2013, 2012, 2011, 2010).Read our methodology here.. HuffPost and The Chronicle examined 201 public D-I schools from 2010-2014.

  9. Muller's method - Wikipedia

    en.wikipedia.org/wiki/Muller's_method

    Muller's method is a recursive method that generates a new approximation of a root ξ of f at each iteration using the three prior iterations. Starting with three initial values x 0, x −1 and x −2, the first iteration calculates an approximation x 1 using those three, the second iteration calculates an approximation x 2 using x 1, x 0 and x −1, the third iteration calculates an ...

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