"a change of variable" is a grammatically correct phrase and is commonly used in written English.
It can be used in various contexts, but it is most commonly used in mathematical or scientific writing to describe the process of substituting one variable for another in an equation. Example: "In order to solve this differential equation, we need to make a change of variable from x to u."
One makes a little modification for the integrand in the integral and a change of variable.
We derive a change of variable formula for non-anticipative functionals defined on the space of Rd-valued right-continuous paths with left limits.
We prove a change of variable formula for the 2D fractional Brownian motion of index H bigger or equal to 1/4.
To solve the nonlinear differential equation, firstly we make a change of variable and secondly the differential equation is rewritten in a form that does not contain the square-root expression.
The equations of motion are transformed from the physical domain into a well-defined computational domain by means of a change of variable such that there is no need to remap the computational domain at each time step as the computation of the response progresses in time.
This algorithm is built by employing the following four steps: 1 – the space and time discretization procedures, 2 – a change of variable, 3 – a homotopy transformation, 4 – techniques used in the Asymptotic Numerical Method (ANM) (Cochelin et al., 2007; Mottaqui et al., 2010) [1,2].
To improve the computational efficiency of O-RCID, a change-of-variable interval probabilistic perturbation method (CV-IPPM) which is based on the perturbation approach and change-of-variable technique is proposed to calculate the confidence interval of sound pressure response and the system reliability.
We describe an idea for making decomposition of Bidirectional Reflectance Distribution Functions into basis functions more efficient, by performing a change-of-variables transformation on the BRDFs.
In contrast, this article proposes a simple variable for comparing the P-values of each class's log-transformed rank product statistic and describes its null distribution, which is easily derived by a change-of-variable technique.
