Answer:
True
Explanation:
The bias value present in a floating point number deals with the positiveness and negativeness of the exponent part for a floating point number. The bias value for a floating point number is 127. It means that 127 is always needed to be added to the exponent part of any floating point number.
In a single precision floating point number, we need 8 bits to store the exponent. Rather than storing it as a signed two's complement number, it is easier to simply add 127 to the exponent (because the lowest value that can be in 8 bit signed is -127) and simply store it as an unsigned number. If the stored value is bigger than the bias then it would mean the value of the exponent is positive otherwise it is negative, but if they are equal then it is 0.
1. E-gro.up
2. Faceb.ook
3. Gm.ail
4. Go to www.gm.ail.com
5. Gm.ail
6. Go to www.faceb.ook.com
These are the answers.
Answer:
Explanation:
demo.java Shapes 2 Shapes Polymorphism Create a set of classes derived from an abstract class Shape, which provides a common interface, for managing various 2D geometric shapes. In our model, each Java object will represent a shape somewhere in a Cartesian coordinate system. However, note that unlike in Mathematics, the positive y-axis grows down from the origin. Shapes All shapes have the following properties: color, area, perimeter, location, and bounds. Shapes are mutable, for example any shape can be moved.
