Technically, the answer is zero. Since zero times anything is always zero, the smallest product that can be made is always zero no matter what other factors are at play.
To write binary numbers in scientific notation, you express the number in the form of ( m \times 2^n ), where ( m ) is a binary number between 1.0 and 1.111... (which is the binary equivalent of 1), and ( n ) is an integer representing the exponent. For example, the binary number 101100 can be written as 1.01100 × 2^5. You shift the binary point to the right of the leading 1 and adjust the exponent accordingly.
Scientific Notation is expressed by using a number, using an exponent as a number (usually a decimal) multiplied by a 10, and an exponent (the number on the exponent is the number of zeros the number has).Example: 120,000,000 in scientific notation is 1.2 X 107
0
The value of the exponent is 9: (6,140,000,000 in Scientific Notation = 6.14 x 109)
Te exponent would not change if the number is less than 5.
To write binary numbers in scientific notation, you express the number in the form of ( m \times 2^n ), where ( m ) is a binary number between 1.0 and 1.111... (which is the binary equivalent of 1), and ( n ) is an integer representing the exponent. For example, the binary number 101100 can be written as 1.01100 × 2^5. You shift the binary point to the right of the leading 1 and adjust the exponent accordingly.
The exponent.
Scientific Notation is expressed by using a number, using an exponent as a number (usually a decimal) multiplied by a 10, and an exponent (the number on the exponent is the number of zeros the number has).Example: 120,000,000 in scientific notation is 1.2 X 107
It is called the exponent.
0
the largest binary number is 1.84467440737e19. to figure this out you put 2 to the exponent of the certain amount of bits. Eg: 2^64 equals the binary number
The value of the exponent is 9: (6,140,000,000 in Scientific Notation = 6.14 x 109)
Te exponent would not change if the number is less than 5.
A number with a small exponent is smaller than a number with a large exponent. If two numbers have the same exponent then compare the mantissae. The smaller mantissa represents the smaller number.
The smallest number that can be represented by a 16-bit unsigned binary number is 0. In a 16-bit unsigned binary system, all bits can be set to 0, which corresponds to the decimal value of 0. The range of values for a 16-bit unsigned binary number is from 0 to 65,535.
You can easily convert decimal to binary in the scientific calculator - for example, the scientific calculator found in Windows. In this case, type the number in decimal, then click on "binary" to convert to binary.
Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.