Since speed or velocity = distance/time ,its dimensional formula =L/T = [MoLT-1]
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
The formula for velocity is (v = d/t) or (velocity = distance/time).
Since speed or velocity = distance/time ,its dimensional formula =L/T = [MoLT-1]
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
In a displacement-time graph, the gradient represents velocity. In a velocity-time graph, the gradient represents acceleration.
The dimensional formula of areal velocity is [T^-1], where T represents time. Areal velocity is defined as the rate of change of area with respect to time and is commonly used in the study of rotational motion or angular velocity. It is expressed in units of m²/s in the International System of Units.
Stream gradient, or the slope of the stream channel, affects stream velocity by influencing the speed at which water flows downstream. A steeper stream gradient typically results in a faster water flow velocity, as the force of gravity pulls water downhill more strongly. Conversely, a gentler stream gradient leads to slower water flow velocity.
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
When the gradient increases, the velocity typically increases as well. This is because a steeper gradient provides a greater driving force that accelerates the object moving along it.
Assume you want to know what is the formula of the gradient of the function in multivariable calculus. Let F be a scalar field function in n-dimension. Then, the gradient of a function is: ∇F = <fx1 , fx2, ... , fxn> In the 3-dimensional Cartesian space: ∇F = <fx, fy, fz>
A steeper stream gradient usually leads to faster stream velocity because the force of gravity pulling the water downhill is greater, causing the water to flow more quickly. Conversely, a gentler gradient results in slower stream velocity as there is less force pulling the water downhill.
the gradient and how much friction there was. The gradient means how steep the land the river is on so if it is very steep them the velocity will be higher.