I want to convert the decimal number 27 into binary such a way that , first the digit 2 is converted and its binary value is placed in an array and then the digit 7 is converted and its binary number is placed in that array. what should I do?
thanks in advance
That's called binary-coded decimal. It's easiest to work right-to-left. Take the value modulo 10 (% operator in C/C++/ObjC) and put it in the array. Then integer-divide the value by 10 (/ operator in C/C++/ObjC). Continue until your value is zero. Then reverse the array if you need most-significant digit first.
If I understand your question correctly, you want to go from 27 to an array that looks like {0010, 0111}.
If you understand how base systems work (specifically the decimal system), this should be simple.
First, you find the remainder of your number when divided by 10. Your number 27 in this case would result with 7.
Then you integer divide your number by 10 and store it back in that variable. Your number 27 would result in 2.
How many times do you do this?
You do this until you have no more digits.
How many digits can you have?
Well, if you think about the number 100, it has 3 digits because the number needs to remember that one 10^2 exists in the number. On the other hand, 99 does not.
The answer to the previous question is 1 + floor of Log base 10 of the input number.
Log of 100 is 2, plus 1 is 3, which equals number of digits.
Log of 99 is a little less than 2, but flooring it is 1, plus 1 is 2.
In java it is like this:
int input = 27;
int number = 0;
int numDigits = Math.floor(Log(10, input)) + 1;
int[] digitArray = new int [numDigits];
for (int i = 0; i < numDigits; i++) {
number = input % 10;
digitArray[numDigits - i - 1] = number;
input = input / 10;
}
return digitArray;
Java doesn't have a Log function that is portable for any base (it has it for base e), but it is trivial to make a function for it.
double Log( double base, double value ) {
return Math.log(value)/Math.log(base);
}
Good luck.
Related
Given that a number can contain only digits from 1 to 8 (with no repetition), and is of length 8, how can we hash such numbers without using a hashSet?
We can't just directly use the value of the number of the hashing value, as the stack size of the program is limited. (By this, I mean that we can't directly make the index of an array, represent our number).
Therefore, this 8 digit number needs to be mapped to, at maximum, a 5 digit number.
I saw this answer. The hash function returns a 8-digit number, for a input that is an 8-digit number.
So, what can I do here?
There's a few things you can do. You could subtract 1 from each digit and parse it as an octal number, which will map one-to-one every number from your domain to the range [0,16777216) with no gaps. The resulting number can be used as an index into a very large array. An example of this could work as below:
function hash(num) {
return parseInt(num
.toString()
.split('')
.map(x => x - 1), 8);
}
const set = new Array(8**8);
set[hash(12345678)] = true;
// 12345678 is in the set
Or if you wanna conserve some space and grow the data structure as you add elements. You can use a tree structure with 8 branches at every node and a maximum depth of 8. I'll leave that up to you to figure out if you think it's worth the trouble.
Edit:
After seeing the updated question, I began thinking about how you could probably map the number to its position in a lexicographically sorted list of the permutations of the digits 1-8. That would be optimal because it gives you the theoretical 5-digit hash you want (under 40320). I had some trouble formulating the algorithm to do this on my own, so I did some digging. I found this example implementation that does just what you're looking for. I've taken inspiration from this to implement the algorithm in JavaScript for you.
function hash(num) {
const digits = num
.toString()
.split('')
.map(x => x - 1);
const len = digits.length;
const seen = new Array(len);
let rank = 0;
for(let i = 0; i < len; i++) {
seen[digits[i]] = true;
rank += numsBelowUnseen(digits[i], seen) * fact(len - i - 1);
}
return rank;
}
// count unseen digits less than n
function numsBelowUnseen(n, seen) {
let count = 0;
for(let i = 0; i < n; i++) {
if(!seen[i]) count++;
}
return count;
}
// factorial fuction
function fact(x) {
return x <= 0 ? 1 : x * fact(x - 1);
}
kamoroso94 gave me the idea of representing the number in octal. The number remains unique if we remove the first digit from it. So, we can make an array of length 8^7=2097152, and thus use the 7-digit octal version as index.
If this array size is bigger than the stack, then we can use only 6 digits of the input, convert them to their octal values. So, 8^6=262144, that is pretty small. We can make a 2D array of length 8^6. So, total space used will be in the order of 2*(8^6). The first index of the second dimension represents that the number starts from the smaller number, and the second index represents that the number starts from the bigger number.
I found this example of storing dates in the book Algorithms 4th edition, using only a single integer. I'm not sure if it is correct.
This is the class definition for a Date.
public class Date
{
private final int value;
public Date(int m, int d, int y)
{ value = y*512 + m*32 + d; }
public int month()
{ return (value / 32) % 16; }
public int day()
{ return value % 32; }
public int year()
{ return value / 512; }
public String toString()
{ return month() + "/" + day()
}
Where do the numbers 512 and 32 come from, and why do we modulo by 16 when calculating the month.
Yes, if your integer has 32 bits, then you can store in it all valid dates from 01-01-0001 up to (more or less) 01-01-8388608, where 8388608 is a year.
Also, the order of the integer values is the same as the natural order of dates.
But how is it done?
First observation is that all possible numbers of days in month fit into the interval [0, 31] (note that 0 will never be used).
Thus, you can store that using just five bits.
Similarly, all possible months fit into the interval [0, 15], so now you only need 4 bits.
Whole date is saved like this:
...011111100001 <---------- year
||||||||||||1100 <------ month
||||||||||||||||10011 <- day
------------------------
011111100001110010011
If you want to get the value of the year, you have to get rid of the initial 9 bits. You can delete one bit by simply dividing the value by 2. To get rid of the 9 bits, you have to divide 9 times by 2, or - in one step - by 2^9 = 512.
In the above example, when you divide 011111100001110010011 by 2^9:
011111100001110010011
1000000000 = 2^9
---------------------
011111100001
you get 011111100001 (or 2017 in decimal).
In short:
division by 2^n == deleting last n bits of a number, shifting everything to the right.
dividion modulo 2^n == looking only at the last n bits.
the thing is that, the 1st number is already ORACLE LONG,
second one a Date (SQL DATE, no timestamp info extra), the last one being a Short value in the range 1000-100'000.
how can I create sort of hash value that will be unique for each combination optimally?
string concatenation and converting to long later:
I don't want this, for example.
Day Month
12 1 --> 121
1 12 --> 121
When you have a few numeric values and need to have a single "unique" (that is, statistically improbable duplicate) value out of them you can usually use a formula like:
h = (a*P1 + b)*P2 + c
where P1 and P2 are either well-chosen numbers (e.g. if you know 'a' is always in the 1-31 range, you can use P1=32) or, when you know nothing particular about the allowable ranges of a,b,c best approach is to have P1 and P2 as big prime numbers (they have the least chance to generate values that collide).
For an optimal solution the math is a bit more complex than that, but using prime numbers you can usually have a decent solution.
For example, Java implementation for .hashCode() for an array (or a String) is something like:
h = 0;
for (int i = 0; i < a.length; ++i)
h = h * 31 + a[i];
Even though personally, I would have chosen a prime bigger than 31 as values inside a String can easily collide, since a delta of 31 places can be quite common, e.g.:
"BB".hashCode() == "Aa".hashCode() == 2122
Your
12 1 --> 121
1 12 --> 121
problem is easily fixed by zero-padding your input numbers to the maximum width expected for each input field.
For example, if the first field can range from 0 to 10000 and the second field can range from 0 to 100, your example becomes:
00012 001 --> 00012001
00001 012 --> 00001012
In python, you can use this:
#pip install pairing
import pairing as pf
n = [12,6,20,19]
print(n)
key = pf.pair(pf.pair(n[0],n[1]),
pf.pair(n[2], n[3]))
print(key)
m = [pf.depair(pf.depair(key)[0]),
pf.depair(pf.depair(key)[1])]
print(m)
Output is:
[12, 6, 20, 19]
477575
[(12, 6), (20, 19)]
I am facing the problem of having several integers, and I have to generate one using them. For example.
Int 1: 14
Int 2: 4
Int 3: 8
Int 4: 4
Hash Sum: 43
I have some restriction in the values, the maximum value that and attribute can have is 30, the addition of all of them is always 30. And the attributes are always positive.
The key is that I want to generate the same hash sum for similar integers, for example if I have the integers, 14, 4, 10, 2 then I want to generate the same hash sum, in the case above 43. But of course if the integers are very different (4, 4, 2, 20) then I should have a different hash sum. Also it needs to be fast.
Ideally I would like that the output of the hash sum is between 0 and 512, and it should evenly distributed. With my restrictions I can have around 5K different possibilities, so what I would like to have is around 10 per bucket.
I am sure there are many algorithms that do this, but I could not find a way of googling this thing. Can anyone please post an algorithm to do this?.
Some more information
The whole thing with this is that those integers are attributes for a function. I want to store the values of the function in a table, but I do not have enough memory to store all the different options. That is why I want to generalize between similar attributes.
The reason why 10, 5, 15 are totally different from 5, 10, 15, it is because if you imagine this in 3d then both points are a totally different point
Some more information 2
Some answers try to solve the problem using hashing. But I do not think this is so complex. Thanks to one of the comments I have realized that this is a clustering algorithm problem. If we have only 3 attributes and we imagine the problem in 3d, what I just need is divide the space in blocks.
In fact this can be solved with rules of this type
if (att[0] < 5 && att[1] < 5 && att[2] < 5 && att[3] < 5)
Block = 21
if ( (5 < att[0] < 10) && (5 < att[1] < 10) && (5 < att[2] < 10) && (5 < att[3] < 10))
Block = 45
The problem is that I need a fast and a general way to generate those ifs I cannot write all the possibilities.
The simple solution:
Convert the integers to strings separated by commas, and hash the resulting string using a common hashing algorithm (md5, sha, etc).
If you really want to roll-your-own, I would do something like:
Generate large prime P
Generate random numbers 0 < a[i] < P (for each dimension you have)
To generate hash, calculate: sum(a[i] * x[i]) mod P
Given the inputs a, b, c, and d, each ranging in value from 0 to 30 (5 bits), the following will produce an number in the range of 0 to 255 (8 bits).
bucket = ((a & 0x18) << 3) | ((b & 0x18) << 1) | ((c & 0x18) >> 1) | ((d & 0x18) >> 3)
Whether the general approach is appropriate depends on how the question is interpreted. The 3 least significant bits are dropped, grouping 0-7 in the same set, 8-15 in the next, and so forth.
0-7,0-7,0-7,0-7 -> bucket 0
0-7,0-7,0-7,8-15 -> bucket 1
0-7,0-7,0-7,16-23 -> bucket 2
...
24-30,24-30,24-30,24-30 -> bucket 255
Trivially tested with:
for (int a = 0; a <= 30; a++)
for (int b = 0; b <= 30; b++)
for (int c = 0; c <= 30; c++)
for (int d = 0; d <= 30; d++) {
int bucket = ((a & 0x18) << 3) |
((b & 0x18) << 1) |
((c & 0x18) >> 1) |
((d & 0x18) >> 3);
printf("%d, %d, %d, %d -> %d\n",
a, b, c, d, bucket);
}
You want a hash function that depends on the order of inputs and where similar sets of numbers will generate the same hash? That is, you want 50 5 5 10 and 5 5 10 50 to generate different values, but you want 52 7 4 12 to generate the same hash as 50 5 5 10? A simple way to do something like this is:
long hash = 13;
for (int i = 0; i < array.length; i++) {
hash = hash * 37 + array[i] / 5;
}
This is imperfect, but should give you an idea of one way to implement what you want. It will treat the values 50 - 54 as the same value, but it will treat 49 and 50 as different values.
If you want the hash to be independent of the order of the inputs (so the hash of 5 10 20 and 20 10 5 are the same) then one way to do this is to sort the array of integers into ascending order before applying the hash. Another way would be to replace
hash = hash * 37 + array[i] / 5;
with
hash += array[i] / 5;
EDIT: Taking into account your comments in response to this answer, it sounds like my attempt above may serve your needs well enough. It won't be ideal, nor perfect. If you need high performance you have some research and experimentation to do.
To summarize, order is important, so 5 10 20 differs from 20 10 5. Also, you would ideally store each "vector" separately in your hash table, but to handle space limitations you want to store some groups of values in one table entry.
An ideal hash function would return a number evenly spread across the possible values based on your table size. Doing this right depends on the expected size of your table and on the number of and expected maximum value of the input vector values. If you can have negative values as "coordinate" values then this may affect how you compute your hash. If, given your range of input values and the hash function chosen, your maximum hash value is less than your hash table size, then you need to change the hash function to generate a larger hash value.
You might want to try using vectors to describe each number set as the hash value.
EDIT:
Since you're not describing why you want to not run the function itself, I'm guessing it's long running. Since you haven't described the breadth of the argument set.
If every value is expected then a full lookup table in a database might be faster.
If you're expecting repeated calls with the same arguments and little overall variation, then you could look at memoizing so only the first run for a argument set is expensive, and each additional request is fast, with less memory usage.
You would need to define what you mean by "similar". Hashes are generally designed to create unique results from unique input.
One approach would be to normalize your input and then generate a hash from the results.
Generating the same hash sum is called a collision, and is a bad thing for a hash to have. It makes it less useful.
If you want similar values to give the same output, you can divide the input by however close you want them to count. If the order makes a difference, use a different divisor for each number. The following function does what you describe:
int SqueezedSum( int a, int b, int c, int d )
{
return (a/11) + (b/7) + (c/5) + (d/3);
}
This is not a hash, but does what you describe.
You want to look into geometric hashing. In "standard" hashing you want
a short key
inverse resistance
collision resistance
With geometric hashing you susbtitute number 3 with something whihch is almost opposite; namely close initial values give close hash values.
Another way to view my problem is using the multidimesional scaling (MS). In MS we start with a matrix of items and what we want is assign a location of each item to an N dimensional space. Reducing in this way the number of dimensions.
http://en.wikipedia.org/wiki/Multidimensional_scaling
I am new to iPhone programming. I have 10 number say (1,2,3,4,5,6,7,8,9,10). I want to choose randomly 1 number from the above 10 numbers. How can I choose a random number from a set of numbers?
If you simply want a value between 1 and 10, you can use the standard C rand() method. This returns an integer between zero and RAND_MAX.
To get a value between 0 and 9 you can use the % operator. So to get a value between 1 and 10 you can use:
rand()%10 + 1
If you don't want the same series of pseudo random numbers each time, you'll need to use srand to seed the random number generator. A good value to seed it with would be the current time.
If you're asking about choosing a number from a list of arbitrary (and possibly non consecutive) numbers, you could use the following.
int numbers[] = {2,3,5,7,11,13,17,19,23,29};
int randomChoice = numbers[rand()%10];
To generate a random number you should use random() function. But if you call it twice it gives you two equal answers. Before calling random(), call srand(time()) to get fresh new random number. if you want to use for(int i = 0; ...) to create numbers,
use srand(time() + i).
Something like this:
- (IBAction)generate:(id)sender
{
// Generate a number between 1 and 10 inclusive
int generated;
generated = (random() % 10) + 1;
}