It is the rate of change of a variable.
well i am assunming you mean 'm' in linear graphs. it means the gradient in the linear equation y=mx+c.
(-1.5,0) (1.5,0) what is the gradient?
Draw a tangent to the curve at the point where you need the gradient and find the gradient of the line by using gradient = up divided by across
A positive gradient goes uphill from left to right A negative gradient goes downhill from left to right
If the gradient is a positive number the curve is increasing, and if the gradient is a negative number it is decreasing.
No, the Laplacian is not a vector. It is a scalar operator used in mathematics and physics to describe the divergence of a gradient.
well i am assunming you mean 'm' in linear graphs. it means the gradient in the linear equation y=mx+c.
The spherical gradient is important in mathematics and physics because it helps us understand how a quantity changes in all directions from a point in three-dimensional space. It is used to calculate things like the rate of change of temperature or pressure in a spherical system, and is crucial for solving problems in fields such as fluid dynamics, electromagnetism, and quantum mechanics.
find the gradient
The answer depends on the gradient of WHAT!
basically the reciprocal of the original lines gradient is going to be the gradient for the perpendicular line (remember the signs should switch). For example if i had a line with the gradient of 3, then the gradient of the perpendicular line will be -1over3. But if the line had the gradient of -3, then the line perpendicular to that line will have the gradient 1over3.
Simon S. Clift has written: 'Weighted graph based ordering techniques for preconditioned conjugate gradient methods' -- subject(s): Combinatorial analysis, Computational grids, Conjugate gradient method, Graph theory, Heuristic methods, Mathematical models, Matrices (Mathematics), Partial Differential equations
Danube river gradient
these tiles are gradient.
(-1.5,0) (1.5,0) what is the gradient?
Draw a tangent to the curve at the point where you need the gradient and find the gradient of the line by using gradient = up divided by across
Gradient= Vertical gain / Horizontal distance Hope this helps ;P