The first one is called the chain rule, which says that if you find the integrals on the left-hand side of the argument and on the right-hand side of the other, they are equal. For any multivariable function F(x, y, z) where x, y, z are real numbers, there exists a natural operator, which maps every element of F onto the corresponding element in the chain. The elements are drawn as a function of the x-intercept of the y-axis, which we denote by c. Thus, the operation C(x, y, z) given by the left-hand side of the function can also be expressed as the integral of the function on the right-hand side. This is called the parallel to the tangent cycle, or the parabola.

The second type of example is the sphere example, which uses Cartesian coordinates to specify a spherical coordinate system. It shows how to map one variable onto another and then to integrate the two into the original function. We can find the solutions for the functions f(x, y, z) through g(x, y, z) through h(x, y, z) through l(x, y, z) through m(x, y, z) for any set x, y, z. Thus, we have just found an integration by surface of the function f(x, y, z) on the sphere which can be evaluated using the Cartesian coordinate system defined on the spherical coordinates.

The third type of example is the plane example, which we have derived from the Cartesian coordinate system. The source of a point can be considered as being at rest along a surface of fixed curvature, whereas a point source at rest can be considered as a point following a surface rotating on its axis. Thus, the source of vectors is also a rotation about an axis. Similarly, the components of vectors can also be components of rotations about a single axis or about any number of axes. For example, the components of a vector space can be components of 360 degrees rotation about an axis. And so on.

The first step in integrating scalars and derivatives is to select a reliable measure for measuring the variable. Commonly used measures in many disciplines are the straight line and the vector rank. The straight line is chosen for the simplest cases, where the derivatives are measurable and the geometric series is continuous. The vector rank can be chosen if the derivatives are complex. In general, the rank measure is preferred for higher dimensional data.

The multivariable calculus examples that follow introduce the concept of multidimensional data. A multidimensional function is a set of variables, which can be evaluated at different time intervals over a range. This concept is important in numerical analysis, such as in finite difference and numerical gradient analysis. In these applications, the derivatives of a function can be evaluated for each time interval over the range of the function, thus taking the derivatives as functions of the values of the input variables over time.

The Multivitamin proof above shows how to use some well known tools to prove some results of important mathematical applications. Another well known example is theorems that prove results obtained by linear integration by derivatives. In addition, there are also multivitamin formulations with multivalence and multinetectivity, Lie algebra, etc. These formulations can be used to prove a number of results in higher mathematics such as in the areas of algebra, geometry, calculus, etc.

Another useful example is the formulation of surface integrals. The multivariable formulation of surface integrals is important in some aspects of aerodynamics, and in mathematical formulations of flow systems. Examples for surfaces include the differential equation of a curve on a flat surface and the surface integral over arbitrary flat surfaces. Another useful technique is the multivariate parabola. It was shown that integrals on surfaces can be written as a plane or a parabola on a flat surface.