ellipsoid

What two points on earth are furthest from each other when taking into account the earth is an ellipsoid?

The value of 'a' must be the major radius of the ellipsoid in meters, and 'f' must be the flattening of the ellipsoid.

Estimating the position of these spacecraft or asteroids leads to an uncertainty ellipsoid in space, representing N% probability that the object is inside it.

The Earth is not a sphere (or even an ellipsoid).

Think of it like a positioning arm for spherical (ping pong ball, orange, onion) or ellipsoid shapes (water bottle).

Nor does the protocol provide a mechanism, on a per-record basis, to specify which ellipsoid has actually been used.

To build the model you just treat each ant as an elastic ellipsoid with directional bonding properties.

As coffemug noted, WGS84 is not a projection but just a reference ellipsoid used for distance calculations along earth's surface.

What is the meaningful difference between orbiting and moving in a straight line that creates an ellipsoid in Euclidean space?

If so, this is almost as absurd as Apple's attempt to trademark an ellipsoid.

What I should have said is that in RethinkDB we only mean a specific reference ellipsoid for computing distances between latitude/longitude coordinate pairs when referring to WGS84.

My point is: If this is the case, then the explanation in the OP is totally misleading, because your data shouldn't look like an ellipsoid, but rather a circle.

You cannot pick a reference frame in relativistic space that shows ellipsoid movement (like the one predicted by the Newtonian theory which is generally what people mean by "orbit").

> You cannot pick a reference frame in relativistic space that shows ellipsoid movement (like the one predicted by the Newtonian theory which is generally what people mean by "orbit").

(The ellipsoid method and inner point methods are already proven to be polynomial, so we do know that linear programming is polynomial.) > Its worth noting that smoothed analysis only really makes sense on algorithms where perturbing the input only changes the answer a little bit, so you need some sort of "numerical stability" style property for the underlying algorithm one way or another.