Difference between revisions of "Computer Number Systems"
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All digital computers  All digital computers, from supercomputers to your smartphone, are electronic devices and ultimately can do one thing: detect whether an electrical signal is on or off. That basic information, called a ''bit'' ('''bi'''nary digi'''t'''), has two values: a 1 (or ''true'') when the signal is on, and a 0 (of ''false'') when the signal is off.  
That basic information, called a ''bit'' ('''bi'''nary digi'''t'''), has two values: a 1 (or ''true'') when the signal is on, and a 0 (of ''false'') when the signal is off  
Larger values can be stored by a group of bits. For example, there are 4 different values stored by 2 bits (00, 01, 10, and 11), 8 values for 3 bits (000, 001, 010, 011, 100, 101, 110, and 111), 16 values for 4 bits (0000, 0001, ..., 1111), and so on. However, large numbers, using 0s and 1s only, are quite unwieldy for humans. For example, a computer would need 19 bits to store the numbers up to 500,000! We use of different number systems to work with large binary strings that represent numbers within computers.  
In  == Different Number Systems ==  
A ''number system'' is the way we name and represent numbers. The number system we use in our daily life is known as '''decimal number system''' or '''base 10''' because it is based on 10 different digits: 0, 1, 2, ..., 8, and 9. The base of number is written as subscript to a number. For example, the decimal number "twelve thousand three hundred and fortyfive" is written as $12345_{10}$. Without a base or explicit context, it's assumed that a number is in base 10.  
In computer science, apart from the decimal system, three additional number systems are commonly used: '''binary''' (base2), '''octal''' (base8), and '''hexadecimal''' or just '''hex''' (base16). Binary numbers are important because that is how numbers are stored in the computer. Octal and hexadecimal are used to represent binary numbers in a userfriendly way. Each octal symbol represents 3 binary bits and each hex digit represents 4 binary bits. For example, the decimal number 53201, stored as in the computer as the binary number 10000001111000101100, is represented by the octal number 2017054, and the hex number 81E2C. The table below compares the number systems:  
:{ class="wikitable"  
!Number System  
!Base  
!Digits Used  
!Examples  
  
Binary  
2  
0,1  
$10110_{2}$, $10110011_{2}$  
  
Octal  
8  
0,1,2,3,4,5,6,7  
$75021_{8}$, $231_{8}$, $60012_{8}$  
  
Decimal  
10  
0,1,2,3,4,5,6,7,8,9  
$97425_{10}$ or simply 97425  
  
Hexadecimal  
16  
0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F  
$54A2DD0F_{16}$  
}  
In general, $N$ bits have $2^N$ different values. The computers aboard the Apollo spacecraft had 8bit words of memory. Each word of memory could store 256 different values, and the contents were displayed using 2 hex characters.  
The following table shows the first 20 numbers in decimal, binary, octal, and hexadecimal:  
:{ class="wikitable" style="textalign:center"  
!Decimal  
!Binary  
!Octal  
!Hexadecimal  
  
0  
0  
0  
0  
  
1  
1  
1  
1  
  
2  
10  
2  
2  
  
3  
11  
3  
3  
  
4  
100  
4  
4  
  
5  
101  
5  
5  
  
6  
110  
6  
6  
  
7  
111  
7  
7  
  
8  
1000  
10  
8  
  
9  
1001  
11  
9  
  
10  
1010  
12  
A  
  
11  
1011  
13  
B  
  
12  
1100  
14  
C  
  
13  
1101  
15  
D  
  
14  
1110  
16  
E  
  
15  
1111  
17  
F  
  
16  
10000  
20  
10  
  
17  
10001  
21  
11  
  
18  
10010  
22  
12  
  
19  
10011  
23  
13  
  
20  
10100  
24  
14  
}  
== Converting to Decimal ==  
As we learned in the first or second grade, the decimal value of a decimal number is simply sum of each digit multiplied by its place value:  
:$12345 = 1×10^{4}+ 2×10^{3}+ 3×10^{2}+ 4×10^{1}+ 5×10^{0} = 10000 + 2000+ 300 +40+5 = 12345$  
:$3079 = 3×10^{3}+ 0×10^{2}+ 7×10^{1}+ 9×10^{0} = 3000 + 70 + 9 = 3079$  
Analogously, the decimal value of a number in an arbitrary base is the sum of each digit multiplied by its place value. Here are some examples of converting from one base into base 10:  
:$1101_{2} = 1 × 2^3 + 1 × 2^2 + 0 × 2^1 + 1 × 2^0 = 8 + 4 + 0 + 1 = 13_{10}$  
:$175_{8} = 1 × 8^2 + 7 × 8^1 + 5 × 8^0 = 1 × 64 + 7 × 8 + 5 × 1 = 64 + 56 + 5 = 125_{10}$  
:$A5E_{16} = 10 × 16^2 + 5 × 16^1 + 14 × 16^0 = 10 × 256 + 5 × 16 + 14 × 1 = 2560 + 80 + 14 = 2654_{10}$  
== Converting from Decimal ==  
The algorithm to convert a number from an arbitrary base requires finding how many times successive powers of the base go into the number, starting with the largest power of the base less than the starting number. For example, converting 3306 from base 10 to octal proceeds as follows:  
1) The largest power of 8 that is less than or equal to 3306 is 512 ($8^3$). Divide 3306 by 512:  
:$3306 = 6*8^3 + 234$  
2) The next power of 8 is 64 ($8^2$). Divide 234 by 64:  
:$234 = 3 *8^2 + 42$  
3) The next smaller power of 8 is 8 ($8^1$). Divide 42 by 8:  
:$42 = 5*8^1 + 2$  
4) Finally, the next smaller power of 8 is 1 ($8^0$). Divide 2 by 1:  
:$2 = 2 * 8^0$  
The answer is $6352_8$.  
== Converting between Binary, Octal, and Hexadecimal ==  
Converting from octal to binary is simple: replace each octal digit by its corresponding 3 binary bits. For example:  
:$375_{8} = \ \ 011\ \ \ 111\ \ \ 101_{2} = 11111101_2$  
Converting from hex to binary is also simple: replace each hex digit by its corresponding 4 binary bits. For example:  
:$FD_{16} = \ \ 1111\ \ \ 1101_{2} = 11111101_2$  
Converting from binary to either octal or hex is pretty simple as well: group the bits by 3s or 4s (starting at the right), and convert each group:  
:$10000001111000101100 = 10\ 000\ 001\ 111\ 000\ 101 \ 100 = 2017054_8$  
:$10000001111000101100 = 1000\ 0001\ 1110\ 0010\ 1100 = 81E2C_{16}$  
Converting between base 8 and 16 is easy by expressing the number in base 2 (easy to do!) and then converting that number from base 2 (another easy operation)! This is shown below in Sample Problem #1.  
== Using Hexadecimal Numbers to Represent Colors ==  
Computers use hexadecimal numbers to represent various colors in computer graphics because all computer screens use combinations of red, green, and blue light or RGB to represent thousands of different colors. Two digits are used for each so the hexadecimal number “#FF0000” represents the color red, “#00FF00” represents green, and “#0000FF” represents blue. The color black is “#000000” and white is “#FFFFFF”.  
The hash tag or number sign is used to denote a hexadecimal number. $FF_{16} = F (15) × 16 + F (15) × 1 = 240 + 15 = 255_{10}$ so there are 0 to 255 or 256 different shades of each color or $256^{3} = 16,777,216$ different colors.  
The following web site has nearly every color name, along with its hex code and decimal values:  
:https://www.rapidtables.com/web/color/RGB_Color.html  
For example “salmon” is “#FA8072” which represents the decimal numbers 250 (hex FA), 128 (hex 80), and 114 (hex 72).  
== Resources ==  == Resources ==  
[https://ryanstutorials.net/ Ryan's Tutorials] covers this topic  [https://ryanstutorials.net/ Ryan's Tutorials] covers this topic beautifully. Rather than trying to duplicate that work, we'll point you to the different sections:  
:[https://ryanstutorials.net/binarytutorial/ 1. Number Systems]  An introduction to what numbers systems are all about, with emphasis on decimal, binary, octal, and hexadecimal. ACSL will typically identify the base of a number using a subscript. For example, $123_8$ is an octal number, whereas $123_{16}$ is a hexadecimal number.  :[https://ryanstutorials.net/binarytutorial/ 1. Number Systems]  An introduction to what numbers systems are all about, with emphasis on decimal, binary, octal, and hexadecimal. ACSL will typically identify the base of a number using a subscript. For example, $123_8$ is an octal number, whereas $123_{16}$ is a hexadecimal number.  
Line 18:  Line 227:  
:[https://ryanstutorials.net/binarytutorial/binarynegativenumbers.php 4. Negative Numbers]  ACSL problems will not cover how negative numbers are represented in binary.  :[https://ryanstutorials.net/binarytutorial/binarynegativenumbers.php 4. Negative Numbers]  ACSL problems will not cover how negative numbers are represented in binary.  
:[https://ryanstutorials.net/binarytutorial/binaryfloatingpoint.php 5. Binary Fractions and Floating Point]  The first part of this section is relevant to ACSL: fractions in other bases. ACSL will not cover floating point numbers in other basis. So, focus on the section [https://ryanstutorials.net/binarytutorial/binaryfloatingpoint.php#convertfraction Converting to a Binary Fraction], but keep in mind that ACSL problems may also cover octal and  :[https://ryanstutorials.net/binarytutorial/binaryfloatingpoint.php 5. Binary Fractions and Floating Point]  The first part of this section is relevant to ACSL: fractions in other bases. ACSL will not cover floating point numbers in other basis. So, focus on the section [https://ryanstutorials.net/binarytutorial/binaryfloatingpoint.php#convertfraction Converting to a Binary Fraction], but keep in mind that ACSL problems may also cover octal and hexadecimal fractions.  
The [https://coolconversion.com/math/binaryoctalhexadecimal/ CoolConversion.com online calculator] is another online app for practicing conversion from/to decimal, hexadecimal, octal and binary; this tool shows the steps that one goes through in the conversion.  
The  The AskNumbers.com site has a nice description of the conversions between [https://www.asknumbers.com/hextooctal.aspx binary, octal, decimal and hexadecimal] numbers.  
== Format of ACSL Problems ==  == Format of ACSL Problems ==  
Line 26:  Line 237:  
The problems in this category will focus on converting between binary, octal, decimal, and hexadecimal, basic arithmetic of numbers in those bases, and, occasionally, fractions in those bases.  The problems in this category will focus on converting between binary, octal, decimal, and hexadecimal, basic arithmetic of numbers in those bases, and, occasionally, fractions in those bases.  
To be successful in this category, you must know the following  To be successful in this category, you must know the following facts cold:  
# The  # The binary value of each octal digit 0, 1, ..., 7  
# The  # The binary value of each hex digit 0, 1, ..., 9, A, B, C, D, E, F  
# Powers of 2, up to 4096  # The decimal value of each hex digit 0, 1, ..., F  
# Powers of 8, up to 4096  # Powers of 2, up to 4096  
# Powers of 8, up to 4096  
# Powers of 16, up to 65,536  # Powers of 16, up to 65,536  
== Sample Problems ==  == Sample Problems ==  
=== Sample Problem 1 ===  === Sample Problem 1 ===  
Solve for $x$ where $x_{16}=3676_8$.  
'''Solution:''' One method of solution is to convert $3676_8$ into base 10, and then convert that number into base 16 to yield the value of $x$.  '''Solution:''' One method of solution is to convert $3676_8$ into base 10, and then convert that number into base 16 to yield the value of $x$.  
Line 47:  Line 257:  
$$\begin{align}  $$\begin{align}  
3676_8 &= 011 ~ 110 ~ 111 ~  3676_8 &= 011 ~ 110 ~ 111 ~ 110_2 & \text{convert each octal digit into base 2}\hfill\cr  
&= 0111 ~ 1011 ~  &= 0111 ~ 1011 ~ 1110_2 & \text{group by 4 bits, from righttoleft}\hfill\cr  
&= 7 ~ \text{B} ~ \text{E} & \text{convert each group of 4 bits into a  &= 7 ~ \text{B} ~ \text{E}_{16} & \text{convert each group of 4 bits into a hex digit}\cr  
\end{align}$$  \end{align}$$  
=== Problem:  === Sample Problem 2 ===  
=== Problem:  
Solve for $x$ in the following hexadecimal equation: $ x= \text{F5AD}_{16}  \text{69EB}_{16}$  
'''Solution:''' One could convert the hex numbers into base 10, perform the subtraction, and then convert the answer back to base 16. However,  
working directly in base 16 isn't too hard.  
As in conventional decimal arithmetic, one works from righttoleft, from the least significant digits to the most.  
:The rightmost digit becomes 2, because DB=2.  
:The next column is AE. We need to ''borrow'' a one from the 5 column, and 1AE=C  
:In the next column, 49=B, again, borrowing a 1 from the next column.  
:Finally, the leftmost column, E6=8  
Combining these results of each column, we get a final answer of $8BC2_{16}$.  
=== Sample Problem 3 ===  
How many numbers from 100 to 200 in base 10 consist of distinct  
ascending digits and also have distinct ascending hex digits when  
converted to base 16?  
'''Solution:''' There are 13 numbers that have ascending digits in both bases from 100  
to 200. They are (in base 10):  
123 (7B), 124, 125, 126, 127 (7F), 137 (89), 138, 139 (8B), 156 (9C), 157, 158, 159 (9F), 189 (BD)  
== Video Resources ==  
===ACSL Videos===  
{  
  
 <youtube width="300" height="180">https://youtu.be/2v5hDcKCfbo</youtube>  
 [https://youtu.be/2v5hDcKCfbo ''Computer Number Systems  ACSL Short Problems Topic'' ('''Next Generation Academy''')]  
A great tutorial covering this ACSL category, and shows how  
to solve many ACSL problems that have appeared in previous contests.  
}  
=== Other Videos ===  
There are many YouTube videos about computer number systems. Here are a handful that cover the topic nicely Some of the videos contain ads; ACSL is not responsible for the ads and does not receive compensation in any form for those ads.  
{  
  
 <youtube width="300" height="180">https://youtu.be/aW3qCcH6Dao</youtube>  
 [https://youtu.be/aW3qCcH6Dao ''Number Systems  Converting Decimal, Binary and Hexadecimal'' ('''Joe James''')]  
An introduction to number systems, and how to convert between decimal, binary and hexadecimal numbers.  
  
 <youtube width="300" height="180">https://youtu.be/m1JtWKuTLR0</youtube>  
 [https://youtu.be/m1JtWKuTLR0 ''Lesson 2.3 : Hexadecimal Tutorial'' ('''Carl Herold''')]  
The video focuses on hexadecimal numbers: their relationship to binary numbers and how to convert to decimal numbers.  
==    
 <youtube width="300" height="180">https://youtu.be/WR67syBDzew</youtube>  
 [https://youtu.be/WR67syBDzew ''Hexes and the Magic of Base 16  Vaidehi Joshi  May 2017' ('''DonutJS''')]  
A fun introduction to hexadecimal numbers, focusing a bit  
on using hex numbers for specifying RGB colors.  
  
 <youtube width="300" height="180">https://youtu.be/jvxNrILgpE</youtube>  
 [https://youtu.be/jvxNrILgpE ''Collins Lab: Binary & Hex'' ('''Adafruit Industries''')]  
A professionally produced video that explains the number systems, how and why binary numbers are fundamental to computer science, and why hexadecimal is important to computer programmers.  
} 
Latest revision as of 14:23, 4 July 2022
All digital computers, from supercomputers to your smartphone, are electronic devices and ultimately can do one thing: detect whether an electrical signal is on or off. That basic information, called a bit (binary digit), has two values: a 1 (or true) when the signal is on, and a 0 (of false) when the signal is off.
Larger values can be stored by a group of bits. For example, there are 4 different values stored by 2 bits (00, 01, 10, and 11), 8 values for 3 bits (000, 001, 010, 011, 100, 101, 110, and 111), 16 values for 4 bits (0000, 0001, ..., 1111), and so on. However, large numbers, using 0s and 1s only, are quite unwieldy for humans. For example, a computer would need 19 bits to store the numbers up to 500,000! We use of different number systems to work with large binary strings that represent numbers within computers.
Different Number Systems
A number system is the way we name and represent numbers. The number system we use in our daily life is known as decimal number system or base 10 because it is based on 10 different digits: 0, 1, 2, ..., 8, and 9. The base of number is written as subscript to a number. For example, the decimal number "twelve thousand three hundred and fortyfive" is written as $12345_{10}$. Without a base or explicit context, it's assumed that a number is in base 10.
In computer science, apart from the decimal system, three additional number systems are commonly used: binary (base2), octal (base8), and hexadecimal or just hex (base16). Binary numbers are important because that is how numbers are stored in the computer. Octal and hexadecimal are used to represent binary numbers in a userfriendly way. Each octal symbol represents 3 binary bits and each hex digit represents 4 binary bits. For example, the decimal number 53201, stored as in the computer as the binary number 10000001111000101100, is represented by the octal number 2017054, and the hex number 81E2C. The table below compares the number systems:
Number System Base Digits Used Examples Binary 2 0,1 $10110_{2}$, $10110011_{2}$ Octal 8 0,1,2,3,4,5,6,7 $75021_{8}$, $231_{8}$, $60012_{8}$ Decimal 10 0,1,2,3,4,5,6,7,8,9 $97425_{10}$ or simply 97425 Hexadecimal 16 0,1,2,3,4,5,6,7,8,9,A,B,C,D,E,F $54A2DD0F_{16}$
In general, $N$ bits have $2^N$ different values. The computers aboard the Apollo spacecraft had 8bit words of memory. Each word of memory could store 256 different values, and the contents were displayed using 2 hex characters.
The following table shows the first 20 numbers in decimal, binary, octal, and hexadecimal:
Decimal Binary Octal Hexadecimal 0 0 0 0 1 1 1 1 2 10 2 2 3 11 3 3 4 100 4 4 5 101 5 5 6 110 6 6 7 111 7 7 8 1000 10 8 9 1001 11 9 10 1010 12 A 11 1011 13 B 12 1100 14 C 13 1101 15 D 14 1110 16 E 15 1111 17 F 16 10000 20 10 17 10001 21 11 18 10010 22 12 19 10011 23 13 20 10100 24 14
Converting to Decimal
As we learned in the first or second grade, the decimal value of a decimal number is simply sum of each digit multiplied by its place value:
 $12345 = 1×10^{4}+ 2×10^{3}+ 3×10^{2}+ 4×10^{1}+ 5×10^{0} = 10000 + 2000+ 300 +40+5 = 12345$
 $3079 = 3×10^{3}+ 0×10^{2}+ 7×10^{1}+ 9×10^{0} = 3000 + 70 + 9 = 3079$
Analogously, the decimal value of a number in an arbitrary base is the sum of each digit multiplied by its place value. Here are some examples of converting from one base into base 10:
 $1101_{2} = 1 × 2^3 + 1 × 2^2 + 0 × 2^1 + 1 × 2^0 = 8 + 4 + 0 + 1 = 13_{10}$
 $175_{8} = 1 × 8^2 + 7 × 8^1 + 5 × 8^0 = 1 × 64 + 7 × 8 + 5 × 1 = 64 + 56 + 5 = 125_{10}$
 $A5E_{16} = 10 × 16^2 + 5 × 16^1 + 14 × 16^0 = 10 × 256 + 5 × 16 + 14 × 1 = 2560 + 80 + 14 = 2654_{10}$
Converting from Decimal
The algorithm to convert a number from an arbitrary base requires finding how many times successive powers of the base go into the number, starting with the largest power of the base less than the starting number. For example, converting 3306 from base 10 to octal proceeds as follows:
1) The largest power of 8 that is less than or equal to 3306 is 512 ($8^3$). Divide 3306 by 512:
 $3306 = 6*8^3 + 234$
2) The next power of 8 is 64 ($8^2$). Divide 234 by 64:
 $234 = 3 *8^2 + 42$
3) The next smaller power of 8 is 8 ($8^1$). Divide 42 by 8:
 $42 = 5*8^1 + 2$
4) Finally, the next smaller power of 8 is 1 ($8^0$). Divide 2 by 1:
 $2 = 2 * 8^0$
The answer is $6352_8$.
Converting between Binary, Octal, and Hexadecimal
Converting from octal to binary is simple: replace each octal digit by its corresponding 3 binary bits. For example:
 $375_{8} = \ \ 011\ \ \ 111\ \ \ 101_{2} = 11111101_2$
Converting from hex to binary is also simple: replace each hex digit by its corresponding 4 binary bits. For example:
 $FD_{16} = \ \ 1111\ \ \ 1101_{2} = 11111101_2$
Converting from binary to either octal or hex is pretty simple as well: group the bits by 3s or 4s (starting at the right), and convert each group:
 $10000001111000101100 = 10\ 000\ 001\ 111\ 000\ 101 \ 100 = 2017054_8$
 $10000001111000101100 = 1000\ 0001\ 1110\ 0010\ 1100 = 81E2C_{16}$
Converting between base 8 and 16 is easy by expressing the number in base 2 (easy to do!) and then converting that number from base 2 (another easy operation)! This is shown below in Sample Problem #1.
Using Hexadecimal Numbers to Represent Colors
Computers use hexadecimal numbers to represent various colors in computer graphics because all computer screens use combinations of red, green, and blue light or RGB to represent thousands of different colors. Two digits are used for each so the hexadecimal number “#FF0000” represents the color red, “#00FF00” represents green, and “#0000FF” represents blue. The color black is “#000000” and white is “#FFFFFF”.
The hash tag or number sign is used to denote a hexadecimal number. $FF_{16} = F (15) × 16 + F (15) × 1 = 240 + 15 = 255_{10}$ so there are 0 to 255 or 256 different shades of each color or $256^{3} = 16,777,216$ different colors.
The following web site has nearly every color name, along with its hex code and decimal values:
For example “salmon” is “#FA8072” which represents the decimal numbers 250 (hex FA), 128 (hex 80), and 114 (hex 72).
Resources
Ryan's Tutorials covers this topic beautifully. Rather than trying to duplicate that work, we'll point you to the different sections:
 1. Number Systems  An introduction to what numbers systems are all about, with emphasis on decimal, binary, octal, and hexadecimal. ACSL will typically identify the base of a number using a subscript. For example, $123_8$ is an octal number, whereas $123_{16}$ is a hexadecimal number.
 2. Binary Conversions  This section shows how to convert between binary, decimal, hexadecimal and octal numbers. In the Activities section, you can practice converting numbers.
 3. Binary Arithmetic  Describes how to perform various arithmetic operations (addition, subtraction, multiplication, and division) with binary numbers. ACSL problems will also cover basic arithmetic in other bases, such as adding and subtracting together 2 hexadecimal numbers. ACSL problems will not cover division in other bases.
 4. Negative Numbers  ACSL problems will not cover how negative numbers are represented in binary.
 5. Binary Fractions and Floating Point  The first part of this section is relevant to ACSL: fractions in other bases. ACSL will not cover floating point numbers in other basis. So, focus on the section Converting to a Binary Fraction, but keep in mind that ACSL problems may also cover octal and hexadecimal fractions.
The CoolConversion.com online calculator is another online app for practicing conversion from/to decimal, hexadecimal, octal and binary; this tool shows the steps that one goes through in the conversion.
The AskNumbers.com site has a nice description of the conversions between binary, octal, decimal and hexadecimal numbers.
Format of ACSL Problems
The problems in this category will focus on converting between binary, octal, decimal, and hexadecimal, basic arithmetic of numbers in those bases, and, occasionally, fractions in those bases.
To be successful in this category, you must know the following facts cold:
 The binary value of each octal digit 0, 1, ..., 7
 The binary value of each hex digit 0, 1, ..., 9, A, B, C, D, E, F
 The decimal value of each hex digit 0, 1, ..., F
 Powers of 2, up to 4096
 Powers of 8, up to 4096
 Powers of 16, up to 65,536
Sample Problems
Sample Problem 1
Solve for $x$ where $x_{16}=3676_8$.
Solution: One method of solution is to convert $3676_8$ into base 10, and then convert that number into base 16 to yield the value of $x$.
An easier solution, less prone to arithmetic mistakes, is to convert from octal (base 8) to hexadecimal (base 16) through the binary (base 2) representation of the number:
$$\begin{align} 3676_8 &= 011 ~ 110 ~ 111 ~ 110_2 & \text{convert each octal digit into base 2}\hfill\cr &= 0111 ~ 1011 ~ 1110_2 & \text{group by 4 bits, from righttoleft}\hfill\cr &= 7 ~ \text{B} ~ \text{E}_{16} & \text{convert each group of 4 bits into a hex digit}\cr \end{align}$$
Sample Problem 2
Solve for $x$ in the following hexadecimal equation: $ x= \text{F5AD}_{16}  \text{69EB}_{16}$
Solution: One could convert the hex numbers into base 10, perform the subtraction, and then convert the answer back to base 16. However, working directly in base 16 isn't too hard. As in conventional decimal arithmetic, one works from righttoleft, from the least significant digits to the most.
 The rightmost digit becomes 2, because DB=2.
 The next column is AE. We need to borrow a one from the 5 column, and 1AE=C
 In the next column, 49=B, again, borrowing a 1 from the next column.
 Finally, the leftmost column, E6=8
Combining these results of each column, we get a final answer of $8BC2_{16}$.
Sample Problem 3
How many numbers from 100 to 200 in base 10 consist of distinct ascending digits and also have distinct ascending hex digits when converted to base 16?
Solution: There are 13 numbers that have ascending digits in both bases from 100 to 200. They are (in base 10): 123 (7B), 124, 125, 126, 127 (7F), 137 (89), 138, 139 (8B), 156 (9C), 157, 158, 159 (9F), 189 (BD)
Video Resources
ACSL Videos
Computer Number Systems  ACSL Short Problems Topic (Next Generation Academy)
A great tutorial covering this ACSL category, and shows how to solve many ACSL problems that have appeared in previous contests.

Other Videos
There are many YouTube videos about computer number systems. Here are a handful that cover the topic nicely Some of the videos contain ads; ACSL is not responsible for the ads and does not receive compensation in any form for those ads.
Number Systems  Converting Decimal, Binary and Hexadecimal (Joe James)
An introduction to number systems, and how to convert between decimal, binary and hexadecimal numbers.  
Lesson 2.3 : Hexadecimal Tutorial (Carl Herold)
The video focuses on hexadecimal numbers: their relationship to binary numbers and how to convert to decimal numbers.  
Hexes and the Magic of Base 16  Vaidehi Joshi  May 2017' (DonutJS)
A fun introduction to hexadecimal numbers, focusing a bit on using hex numbers for specifying RGB colors.  
Collins Lab: Binary & Hex (Adafruit Industries)
A professionally produced video that explains the number systems, how and why binary numbers are fundamental to computer science, and why hexadecimal is important to computer programmers. 