If you think of it as a hill, then the gradient points toward the top of the hill. With the same analogy, directional derivatives would tell the slope of the ground in a direction.
i presume from the question that you are referring to the gradient of a line or road/hill the gradient of a hill is the change in the height (the rise) divided by the hozintal distance (the run) i hope this helps
Incline, slope, gradient, talus...
The elevation of points on a hill is a scalar 'field'. It can have a different value at every point, but each one is a scalar value. Imagine a lumpy bumpy irregular hill, and pick a point to talk about, say, somewhere on the side of the hill. At that point, the directional derivative of the elevation is the rate at which the elevation changes leaving the point in that direction. It has different values in different directions: If you're looking up the hill, then the d.d. is positive in that direction; if you're looking down the hill, the d.d. is negative in that direction. If you're looking along the side of the hill, the d.d. could be zero, because the elevation doesn't change in that particular direction. The directional derivative is a vector. The direction is whatever direction you're talking about, and the magnitude is the rate of change in that direction. The gradient is the vector that's simply the greatest positive directional derivative at that point. Its direction is the direction of the steepest rise, and its magnitude is the rate of rise in that direction. If your hill is, say, a perfect cone, and you're on the side, then the gradient is the vector from you straight toward the top, with magnitude equal to the slope of the side of the cone. Any other vector is a directional derivative, with a smaller slope, and it isn't the gradient.
Slope is rise/run, or vertical height/horizontal distance. If a hill rises 100 feet high over a horizonatl distance of 1000 feet, it has a slope of 100/1000 = 0.10. Thais one -tenth slope, or one-tenth gradient, which is a 10% grade.
If you think of it as a hill, then the gradient points toward the top of the hill. With the same analogy, directional derivatives would tell the slope of the ground in a direction.
blood pressure gradient
i presume from the question that you are referring to the gradient of a line or road/hill the gradient of a hill is the change in the height (the rise) divided by the hozintal distance (the run) i hope this helps
Incline, slope, gradient, talus...
The gradient of the hill forced the road to detour through the valley. The concentration gradient rapidly diminishes when salt water and fresh water mix.
Synonyms for gradient: acclivity, bank, declivity, grade, hill, incline, rise, slope Adjectives that describe gradient: steep gradual positive negative sharp localized
Letting gravity roll the car along... as on a hill or gradient.... and with the engine off or the gears in neutral.
When lines on a map are close together, it typically indicates steep terrain or elevation changes. The closer the lines are, the steeper the incline. This is known as contour lines, which help to represent the shape and elevation of the land on a map.
The elevation of points on a hill is a scalar 'field'. It can have a different value at every point, but each one is a scalar value. Imagine a lumpy bumpy irregular hill, and pick a point to talk about, say, somewhere on the side of the hill. At that point, the directional derivative of the elevation is the rate at which the elevation changes leaving the point in that direction. It has different values in different directions: If you're looking up the hill, then the d.d. is positive in that direction; if you're looking down the hill, the d.d. is negative in that direction. If you're looking along the side of the hill, the d.d. could be zero, because the elevation doesn't change in that particular direction. The directional derivative is a vector. The direction is whatever direction you're talking about, and the magnitude is the rate of change in that direction. The gradient is the vector that's simply the greatest positive directional derivative at that point. Its direction is the direction of the steepest rise, and its magnitude is the rate of rise in that direction. If your hill is, say, a perfect cone, and you're on the side, then the gradient is the vector from you straight toward the top, with magnitude equal to the slope of the side of the cone. Any other vector is a directional derivative, with a smaller slope, and it isn't the gradient.
The Aventine Hill in Rome has an elevation of approximately 40 meters (130 feet), while the Latium Plain is relatively flat with an average elevation of around 100 meters (330 feet). Therefore, the approximate elevation difference between the Aventine Hill and the Latium Plain is about 60 meters (200 feet).
There aren't any tolls between those points, unless you take MD 200, which is not necessary
As a coach driver, knowing the slope (or gradient) of a hill is very important for choosing the correct gear.