The following question indicates that the minimum value of a Double is -Double.MAX_VALUE
. Is this also true for Float (i.e., -Float.MAX_VALUE
)?
Yes, it's also true for Float.
For more information check the manual here http://download.oracle.com/javase/7/docs/api/java/lang/Float.html
Yes it is, and for exactly the same reason as stated in the answer for the question you linked, Floats and Doubles use IEEE754 representation which is "symmetrical" due to the way they are stored.
EDIT: My original answer appears to be badly incorrect. Thank you @aioobe for pointing this out.
Instead, using the magic of java code to answer the title question:
System.out.printf( "Float.MAX_VALUE: %,f\n", Float.MAX_VALUE );
Float.MAX_VALUE: 340,282,346,638,528,860,000,000,000,000,000,000,000.000000
System.out.printf("in scientific notation: %.18g\n", Float.MAX_VALUE );
in scientific notation: 3.40282346638528860e+38
System.out.printf(
"in hexadecimal floating-point number with a significand and "
+ "an exponent: %a", Float.MAX_VALUE );
in hexadecimal floating-point number with a significand and an exponent: 0x1.fffffep127
Yes, -Float.MAX_VALUE
is the negative number with largest magnitude. float
s are represented the same way as double
s, just with half the storage space (and the accompanying loss of precision.) Since signs in IEEE 754 are represented by a single bit, flipping that bit doesn't change the overall magnitude attainable by the remaining bits.
Yes - it's the same bit pattern as Float.MAX_VALUE
except with the sign bit flipped... and that's another way to get at the value:
public class Test {
public static void main(String[] args) {
// Float.MAX_VALUE is intBitsToFloat(0x7f7fffff)
// so we set the most significant bit - the sign bit
float f = Float.intBitsToFloat((int) 0xff7fffff);
System.out.println(f == -Float.MAX_VALUE); // true
}
}