# Andgate hypertext

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Logic.ly
Simulate with Logicly
AND Gate
Input
A
Truth table for an AND gate
Input
Output
B
false
false
false
false
true
false
true
false
false
true
true
true
Logicly provides an engaging, hands-on
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Trusted by Teachers
An AND gate is a digital logic gate with two or more inputs and one output
that performs logical conjunction. The output of an AND gate is true only
when all of the inputs are true. If one or more of an AND gate's inputs
are false, then the output of the AND gate is false.
The truth table for an AND gate with two inputs appears to the right.
Symbols
Each of the symbols below can be used to represent an AND gate. There
are multiple international standards defined, and one may preferred over
the other in your region of the world.
ASNI /
IEEE
IEC
I just wanted to thank you for creating the
Logicly gate simulation. I am an IT teacher
using it with my sixth grade students. It is an
incredible resource.
Michael Gamson, Hillel School of Tampa
Enjoyed by Students
I'd just like to thank you for making Logicly. I
found it very useful when I was trying to
design circuits for my engineering course at
University.
Andrew Sum
Live Example
Try the following interactive example to see for yourself how an AND gate
behaves.
Object 1
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AND gate on Wikipedia
Multiple-input gates on All About Circuits
Basic Logical Functions and Gates at Play-Hookey
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The last example is a computer shorthand for scientific notation. It means 3*10-5
(or 10 to the negative 5th power multiplied by 3).
In essence, computers are integer machines and are capable of representing real
numbers only by using complex codes. The most popular code for representing
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TSN - Transmission Sequence
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LUN - logical unit number
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real numbers is called the IEEE Floating-Point Standard .
The term floating point is derived from the fact that there is no fixed number of digits before and after the decimal point; that
is, the decimal point can float. There are also representations in which the number of digits before and after the decimal point
is set, called fixed-pointrepresentations. In general, floating-point representations are slower and less accurate than fixed-point
representations, but they can handle a larger range of numbers.
Note that most floating-point numbers a computer can represent are just approximations. One of the challenges
in programming with floating-point values is ensuring that the approximations lead to reasonable results. If the programmeris
not careful, small discrepancies in the approximations can snowball to the point where the final results become meaningless.
Because mathematics with floating-point numbers requires a great deal of computing power, many microprocessors come with
a chip, called a floating point unit (FPU ), specialized for performing floating-point arithmetic. FPUs are also called math
coprocessors and numeric coprocessors.
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