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public public public public public public public Point3f(float x, float y, float z) Point3f(float p[]) Point3f(Point3d p1) Point3f(Point3f p1) Point3f(Tuple3d t1) Point3f(Tuple3f t1) Point3f()

Suppose you have a high-precision local clock, and you decide its low 5 bits will be unpredictable to the attacker If you read from it once, that s 5 bits of entropy If you read from it twice in immediate succession, is that 10 bits Not necessarily: The offset between the rst and second values might be predictable; the second reading could be almost completely determined by the rst reading In that case, you get only 5 bits of entropy, not 10 bits In general, if two values are correlated, you can t just sum their individual entropies; the whole will be less than the sum of the parts Some structured sources have less entropy than you might think As an example, Ethernet addresses have a lot of structure and might even be known to network attackers Key and mouse timings could have no entropy: With networked applications (Web browsers, VPNs, X Windows, VNC), key or mouse events are often sent over the network In the presence of autorepeat (hold down the x key, and get a bunch of x key events; they ll have a xed interarrival time), entropy might be much less than you expect, or even zero Some mouse drivers provide snap-to functionality, which causes the (x,y) coordinates to have a lot less entropy than one might na vely assume It is often better to collect from multiple independent sources If you collect from the soundcard, time, process list, and mouse movements, then even if the soundcard fails (or is not plugged into anything, or this platform has no soundcard) and starts outputting all zeros, you still have some entropy from the other sources If you place all your eggs in one basket, you d better be sure that the basket will hold up Overkill is a good thing You can never have too much entropy If you re not sure, toss in some more entropy sources Adding more entropy can never cause any harm; adding too little can render an attempt at obfuscation nearly transparent When you have a bunch of sources, concatenate all the values you ve collected, send them through a cryptographic hash, and use the hash digest as the seed for your cryptographic PRNG Remember, your entropy is only as good as the best sources it contains: A bunch of low-entropy sources still gives you a low-entropy result.

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A table in which the leftmost column is a tree of objects, one object to a row, and the other columns consist of rows that describe the corresponding object in the tree A graphic used in the tree component The user

These ve constructors each return a new Point3f The rst constructor generates a point from three oating-point numbers x, y, and z The second constructor (Point3f(float p[]) generates a point from the rst three elements of array p The third constructor generates a point from the double-precision point p1 The fourth constructor generates a point from the single-precision point p1 The fth and sixth constructors generate a Point3f from the tuple t1 The nal constructor generates a point with the value of (00, 00, 00)

If you estimate 5 to 10 bits of entropy and you are not sure exactly how much, count that as 5 bits of entropy If it is 17 bits on Windows and 3 bits on MacOS, count that as 3 bits Build in a safety margin; if one of your estimates was overgenerous, you re still okay

A14

public final float distance(Point3f p1) public final float distanceSquared(Point3f p1)

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