A stretch transformation is a type of linear transformation in which the size of an object is increased or decreased in a particular direction. It results in scaling the size of an object along its horizontal, vertical, or diagonal axis, while maintaining the shape of the object.
A change from one form of energy into another is called energy transformation.
The rule for the transformation above is translation. Translation is a transformation that moves every point of a figure the same distance in the same direction.
Energy transformation
The result of a transformation is a change in the object's position, size, or shape according to a set of rules or operations defined by the transformation. This can include translations, rotations, reflections, and dilations.
A moving stretch is called a 'dynamic stretch'. A dynamic stretch uses speed of movement, momentum and active muscular effort to bring about a stretch . Unlike static stretching the end position is not held.
Stretch
A monotonic transformation does not change the overall shape of a function's graph, but it can stretch or compress the graph horizontally or vertically.
stretch
An additive change shows horizontal translation.A multiplicative change shows horizontal stretch or compression.
The wording is confusing, as a quadratic function is normally a function of one variable. If you mean the graph of y = f(x) where f is a quadratic function, then changes to the variable y will do some of those things. The transformation y --> -y will reflect the graph about the x-axis. The transformation y --> Ay (where A is real number) will cause the graph to stretch or shrink vertically. The transformation y --> y+A will translate it up or down.
transformation
The transformations I know of are flip, stretch, shrink, or crop. Flip will flip the picture vertically or horizontally as specified. Stretch will project the picture onto a larger grid of pixels. Shrink will project the picture onto a smaller grid of pixels. Crop trims any edges you want off the picture.
The size of the shape changes with a similarity transformation (enlargement), whereas it does not with a congruence transformation.
No it is not.
2d transformation
digital transformation
True transformation efficiency is the transformation efficiency at the saturation point, or essentially the highest transformation efficiency that can be attained.