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Today, we're going to explore binary multiplication. Can anyone tell me what happens when we multiply two zeros in binary?
Zero times zero is zero!
Correct! Now, what about one times one?
That would be one.
Exactly. So, the fundamental rules we need to remember are: 0 times anything is 0, and 1 times 1 is 1. Can someone summarize the four basic rules?
0 times 0 is 0, 0 times 1 is 0, 1 times 0 is 0, and 1 times 1 is 1.
Great job! Remember this as we move into more complex algorithms for multiplication.
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Now let's discuss the repeated left-shift and add algorithm. Can anyone explain what we mean by 'partial products'?
I think they are the individual results we get when we multiply the multiplicand by each bit of the multiplier.
Excellent! Each time we multiply by a bit, if itβs a one, we keep it; if itβs zero, we can disregard it. How do we arrange those partial products in binary?
We shift them left as we move to the next bit in the multiplier.
"Precisely! This left-shift is crucial. For example, multiplying 23 by 6 would yield:
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Next, weβll cover the repeated add and right-shift algorithm. Can someone explain how this differs from the one we just discussed?
In this method, we start with a zero result and add the multiplicand based on whether the multiplier bit is 1 or 0?
Exactly! After each addition, we shift the result right. Why do you think this algorithm is preferred by microprocessors?
Because itβs easier to implement without needing many shifts.
Spot on! Letβs walk through an example of multiplying 23 by 6 using this algorithm. We can clearly see how the shifts and adds play out.
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Binary multiplication is performed based on the AND gate function, where the multiplication of two bits results in basic outcomes. Two primary algorithms are utilized for larger bit binary multiplications: the repeated left-shift and add algorithm and the repeated add and right-shift algorithm, which aid in practical implementation for microprocessors.
Binary multiplication is fundamental to digital arithmetic, applying logical operations akin to those performed in addition but adapted for binary systems. This section elucidates the basic rules governing binary multiplication and introduces two algorithms facilitating multiplication of multi-bit binary numbers.
The binary multiplication rules directly stem from the workings of an AND gate. The essential rules governing multiplication in binary are:
1. 0 Γ 0 = 0
2. 0 Γ 1 = 0
3. 1 Γ 0 = 0
4. 1 Γ 1 = 1
This method mirrors decimal multiplication in the way it operates:
- Each partial product corresponding to each bit in the multiplier is generated.
- The first partial product is formed by multiplying the multiplicand by the least significant bit (LSB) of the multiplier. For each subsequent LSB, the partial product is shifted one place to the left, and addition accumulates these products, resulting in the final binary product.
In contrast to the left-shift method, this algorithm employs:
- An all-zero initial result approximately corresponding to the binary size of the multiplicand.
- If the LSB of the multiplier is 1, the multiplicand is added; if it is 0, nothing is added. The resultant binary string is then shifted right, and the process continues until all bits of the multiplier have been processed.
When both multiplicand and multiplier possess different signs, the resultant product carries a negative sign; otherwise, it remains positive. This highlights the importance of understanding both algorithms and their correct applications in computer arithmetic.
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The basic rules of binary multiplication are governed by the way an AND gate functions when the two bits to be multiplied are fed as inputs to the gate. The basic rules of multiplication are listed as follows:
1. 0Γ0=0.
2. 0Γ1=0.
3. 1Γ0=0.
4. 1Γ1=1.
In binary multiplication, the rules mirror the behavior of an AND gate. This means:
- If both bits are 0, the result is 0.
- If one bit is 1 and the other is 0, the result is 0.
- If one bit is 0 and the other is 1, the result is again 0.
- If both bits are 1, the result is 1. These fundamental rules form the basis for multiplying larger binary numbers.
Think of binary multiplication like a light switch. When both switches (representing the bits) are off (0), the light (result) stays off (0). If one switch is on (1) and the other is off (0), the light also stays off (0). The light only turns on (1) when both switches are on (1).
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One of the methods for multiplication of larger-bit binary numbers is similar to what we are familiar with in the case of decimal numbers. This is called the βrepeated left-shift and addβ algorithm. In this method of binary multiplication, the end-product is the sum of several partial products, with the number of partial products being equal to the number of bits in the multiplier binary number. Each successive partial product after the first is shifted one digit to the left with respect to the immediately preceding partial product. The addition of all partial products gives the final answer.
In this algorithm, multiplication resembles how we multiply in decimal. You create several partial products based on the bits in the multiplier. Here's how it works step-by-step:
1. Start by taking the least significant bit (LSB) of the multiplier.
2. If LSB is 1, write down the multiplicand. If it's 0, write down a row of zeros.
3. For the next bits, shift the results one position to the left and repeat the process.
4. Finally, add all the partial products together to get the final answer. If the multiplicand and multiplier have opposite signs, the result will be negative; otherwise, it'll be positive.
Imagine you are stacking blocks (partial products). If you want to multiply 3 blocks by 2 blocks in binary, you'd first lay down one set of blocks for each 1 in the multiplier. For each higher place value in the multiplier (like moving left), you'll shift the stack over one space, just like putting a new block on a higher level.
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Microprocessors and microcomputers, however, use what is known as the 'repeated add and right-shift' algorithm to do binary multiplication as it is comparatively much more convenient to implement than the 'repeated left-shift and add' algorithm. The multiplication process starts with writing an all β0β bit sequence, with the number of bits equal to the number of bits in the multiplicand. This sequence is added to another same-sized bit sequence, which is the same as the multiplicand if the LSB of the multiplier is a β1β, and an all β0β sequence if it is a β0β. The result of the first addition is shifted one bit position to the right, and the bit shifted out is recorded. The process continues until all multiplier bits are exhausted.
In the repeated add and right-shift method, you begin by initializing a result with all zeros. Hereβs how it works:
1. For each bit of the multiplier, check if it's 1 or 0. If 1, add the multiplicand to the result; if 0, add nothing.
2. Regardless, shift the current result one bit to the right each time.
3. Continue this until you've processed all bits of the multiplier. The final result will reflect whether the inputs were positive or negative based on their signs.
Think of this like taking turns in a game. Each playerβs turn represents a bit in the multiplier. When itβs your turn (1), you add points (the multiplicand) to your score (result); if it's not your turn (0), you keep the score the same. After your turn ends, imagine stepping backward (right-shifting) in the line of players until everyone has had a turn.
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Binary multiplication of mixed binary numbers is done by performing multiplication without considering the binary point. Starting from the LSB, the binary point is then placed after n bits, where n is equal to the sum of the number of bits in the fractional parts of the multiplicand and multiplier.
When multiplying numbers with both integer and fractional parts in binary, treat them as whole numbers first. Hereβs how:
1. Perform the multiplication as if the numbers were whole numbers by ignoring the binary point.
2. After getting the result, calculate the placement of the binary point by counting the total number of bits in the fractional parts from both the multiplicand and multiplier.
3. Place the binary point in the result accordingly to reflect the correct value.
Consider a recipe that calls for fractions of ingredients. When you multiply two fractions, you first multiply the numerators and denominators separately before simplifying. Similarly, in binary multiplication, you combine the numbers first, then adjust for the fractional parts (like converting back to easy-to-understand measurements).
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Key Concepts
Binary Multiplication: Refers to the process of multiplying binary numbers based on fixed logical rules.
AND Gate: An electronic circuit responsible for computing the multiplication of two binary digits.
Repeated Left-Shift and Add: An algorithm to perform binary multiplication by shifting and adding based on bit positions.
Repeated Add and Right-Shift: A different algorithm utilized in microprocessors for efficient binary multiplication.
See how the concepts apply in real-world scenarios to understand their practical implications.
Multiplying 23 (10111 in binary) by 6 (110 in binary), resulting in 138 (10001010 in binary) using the left-shift method.
Using the right-shift method on the same multiplicands, highlighting the difference in processes but arriving at the same endpoint.
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When one meets zero, the result's a hero, zero's the fate, when ones congregate!
Imagine two friends, 1 and 0, playing a game where 0 always gives up while 1 stands tall. Together they either win or lose depending on who's on the right.
To remember multiplication rules: 'zero is king when no ones play.'
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Review the Definitions for terms.
Term: AND Gate
Definition:
An electronic component that produces a true output (1) only when all its inputs are true (1).
Term: Multiplicand
Definition:
The number that is to be multiplied.
Term: Multiplier
Definition:
The number by which the multiplicand is multiplied.
Term: Partial Product
Definition:
The intermediate results obtained during the multiplication process before summing them to form the final product.
Term: Shift
Definition:
Moving bits in a binary number to the left or right during multiplication or division.