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While the Lineweaver–Burk plot has historically been used for evaluation of the parameters, together with the alternative linear forms of the Michaelis–Menten equation such as the Hanes–Woolf plot or Eadie–Hofstee plot, all linearized forms of the Michaelis–Menten equation should be avoided to calculate the kinetic parameters ...
Rectangle checking is an older and simpler method for plotting the Mandelbrot set. The basic idea of rectangle checking is that if every pixel in a rectangle's border shares the same amount of iterations, then the rectangle can be safely filled using that number of iterations.
By plotting n /[L] versus n, the Scatchard plot shows that the slope equals to -1/K d while the x-intercept equals the number of ligand binding sites n. Derivation
Fitting of a noisy curve by an asymmetrical peak model, with an iterative process (Gauss–Newton algorithm with variable damping factor α).Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints.
In science and engineering, a log–log graph or log–log plot is a two-dimensional graph of numerical data that uses logarithmic scales on both the horizontal and vertical axes. Power functions – relationships of the form y = a x k {\displaystyle y=ax^{k}} – appear as straight lines in a log–log graph, with the exponent corresponding to ...
Hanes plot of a/v against a for Michaelis–Menten kinetics In biochemistry , a Hanes–Woolf plot , Hanes plot , or plot of a / v {\displaystyle a/v} against a {\displaystyle a} is a graphical representation of enzyme kinetics in which the ratio of the initial substrate concentration a {\displaystyle a} to the reaction velocity v ...
The radar chart is a chart and/or plot that consists of a sequence of equi-angular spokes, called radii, with each spoke representing one of the variables. The data length of a spoke is proportional to the magnitude of the variable for the data point relative to the maximum magnitude of the variable across all data points.
If the original random variable X is uniformly distributed on the interval (a,b), where a>0, then the reciprocal variable Y = 1 / X has the reciprocal distribution which takes values in the range (b −1,a −1), and the probability density function in this range is =, and is zero elsewhere.