yes
Wherever a function is differentiable, it must also be continuous. The opposite is not true, however. For example, the absolute value function, f(x) =|x|, is not differentiable at x=0 even though it is continuous everywhere.
The range of the arcsinx function is restricted because it is the inverse of a function that is not one-to-one, a characteristic usually required for a function to have an inverse. The reason for this exception in the case of the trigonometric functions is that if you take only a piece of the function, one that repeats through the period and is able to represent the function, then an inverse is obtainable. Only a section that is one-to-one is taken and then inverted. Because of this restriction, the range of the function is limited.
n. 1. A form or part that is folded or coiled. 2. One of the convex folds of the surface of the brain.
If y is an exponential function of x then x is a logarithmic function of y - so to change from an exponential function to a logarithmic function, change the subject of the function from one variable to the other.
correct.
Convex optimization is the process of enhancing the vision that convex mirrors and lenses can provide by adjusting the angle of the convex lenses to the perfect most apt angles separating them apart so as to enhance the field of vision and effectiveness.
a polygon with 6 sides * * * * * The fact that is has six sides makes it a hexagon but that does not explain ""convex". A convex polygon is one in which none of the angles is a reflex angle. An alternative definition of convex is that a line joining any two points inside the hexagon is wholly inside the shape.
explain why a function has at most one y-intercept
Convex function on an open set has no more than one minimum. In demand it shows the elasticity is linear after some point and non linear on other points.
explain any 4 function of groupware?
If, for any two points A and B in the polygon, all points with position A + kB are inside the polygon for 0 ≤ k ≤ 1, then the polygon is convex. In simple terms, if all points on the line AB lie inside the polygon, it is convex. If there is at least one point on AB that is outside the polygon then it is not a convex polygon.
draw the Z80 processor and explain five of its pin function
explain the evolution of sales management function in Indian context
explain the function of layout andwhen it might be used.
what is a function of Biasing and explain it's working ? why the Common Emitter Configuration is use as Amplifier ? Explain in Detail ?
Yes, in optimization problems, the feasible region must be a convex set to ensure that the objective function has a unique optimal solution. This is because convex sets have certain properties that guarantee the existence of a single optimum within the feasible region.