Wednesday, July 1, 2015

Problem 18 : Maximum Path Sum I

Maximum path sum I

Problem 18

By starting at the top of the triangle below and moving to adjacent numbers on the row below, the maximum total from top to bottom is 23.
3
7 4
2 4 6
8 5 9 3
That is, 3 + 7 + 4 + 9 = 23.
Find the maximum total from top to bottom of the triangle below:
75
95 64
17 47 82
18 35 87 10
20 04 82 47 65
19 01 23 75 03 34
88 02 77 73 07 63 67
99 65 04 28 06 16 70 92
41 41 26 56 83 40 80 70 33
41 48 72 33 47 32 37 16 94 29
53 71 44 65 25 43 91 52 97 51 14
70 11 33 28 77 73 17 78 39 68 17 57
91 71 52 38 17 14 91 43 58 50 27 29 48
63 66 04 68 89 53 67 30 73 16 69 87 40 31
04 62 98 27 23 09 70 98 73 93 38 53 60 04 23
NOTE: As there are only 16384 routes, it is possible to solve this problem by trying every route. However, Problem 67, is the same challenge with a triangle containing one-hundred rows; it cannot be solved by brute force, and requires a clever method! ;o)
                                                                                                       (https://projecteuler.net/problem=18)

Problem 18 is awesome. It's simply amazing.

Personally, I found out dynamic programming while solving this problem, and it is one of the most powerful algorithms that I've ever learned.

As my brute force method took more than 5 minutes on the first attempt, the drastic improvement of efficiency down to 3 milli-second was astonishing advancement and was done solely by dynamic programming.

(Note that the solution will be same for Problem 67).

Anytime there is a large set of data, we are going to use read-file method to store the data.

private static int[][] triangle = read();

public static int[][] read()
{
    int[][] text = new int[15][];
    File file = new File(text018);
    try (BufferedReader br = new BufferedReader(new FileReader(file)))
    {
        String line;
        for (int i=0; (line = br.readLine()) != null; i++)
        {
            String[] temp = line.split(" ");
            text[i] = new int[i+1];
            for (int j=0; j <= i; j++)
                text[i][j] = Integer.parseInt(temp[j]);
        }
    }
    catch (IOException e)
    {
        System.err.println(e);
    }
    return text;
}

Instead of starting from the top and coming downward, I will start from the bottom and go upward.

Let's look at the bottom-left region, where a triplet of 63, 04, and 62 are located.

   63
04  62

I will call 63 the parent number and 04 and 62 the daughter numbers.

   63
04  62

We are going to modify our pyramid by adding the larger daughter number to the parent number.

   63
04  62

62 is greater than 04, so I will add the number to the top.

  125
04  62

If we do the same thing for the second pair, then:

   66
62  98

  164
62  98

We are going to do the same thing for all the pairs in the first floor, and then we will have the second floor with the greatest possible values of sums.

After finishing the second floor, then we will step up and select two pairs from the second floor and form the greatest possible values of sums in the third floor, and so on.

And because this is repetitive process, we can tell the program just once how to process the numbers, and after that computer will just follow through the logic until it reaches the last floor, or the top number, which will then become the largest possible sum of the adjacent numbers.

We call this dynamic programming.

Here is the implementation of the logic:

for (int i=triangle.length-1; i >= 1; i--)
{
    for (int j=0; j < i; j++)
    {
        triangle[i-1][j] += Math.max(triangle[i][j], triangle[i][j+1]);
    }
}

System.out.println(triangle[0][0]);


Answer is 1074
Execution time is 3.042578 ms
Source Code: https://github.com/Ainodyne/Project-Euler/blob/master/Problem018.java


Thursday, April 16, 2015

Problem 17 :Number Letter Counts

Number letter counts

Problem 17

If the numbers 1 to 5 are written out in words: one, two, three, four, five, then there are 3 + 3 + 5 + 4 + 4 = 19 letters used in total.
If all the numbers from 1 to 1000 (one thousand) inclusive were written out in words, how many letters would be used?

NOTE: Do not count spaces or hyphens. For example, 342 (three hundred and forty-two) contains 23 letters and 115 (one hundred and fifteen) contains 20 letters. The use of "and" when writing out numbers is in compliance with British usage.
                                                                                                       (https://projecteuler.net/problem=17)

Personally, Problem 17 was really fun.

It doesn't involve numerical analysis specifically, yet it requires a clever algorithm to solve.

English has a lot of irregular expressions, and number is one. (11 is not ten-one, it is eleven.)

Having many Chinese friends, I found that Chinese has really formalized number expression which doesn't have any exceptions. In China, people count 12 as ten-two, and 21 as two-ten-one.

Anyway, because English has its own unique way of expressing numbers into its language, we will need several steps in our algorithms to solve this problem.

We need three main sets of English words:

private static final String[] UNIT = {"one", "two", "three", "four", "five", "six", "seven", "eight", "nine"};
private static final String[] TENTH = {"twenty", "thirty", "forty", "fifty", "sixty", "seventy", "eighty", "ninety"};
private static final String[] TEN = {"ten", "eleven", "twelve", "thirteen", "fourteen", "fifteen", "sixteen", "seventeen", "eighteen", "nineteen"};

And three main keywords:

private static final String THOUSAND = "thousand";
private static final String HUNDRED = "hundred";
private static final String AND = "and";

My algorithm was starting with unit digit numbers and gradually increasing the level to two-digit and three-digit numbers.

First, get the sum of unit digit numbers from "one" to "nine":

// 1 to 9
int unitSum = 0;
for (String n : UNIT) unitSum += n.length();

Once we get this sum, we will reuse it A LOT as "one" to "nine" appears every ten times in counting.

Second, get the sum of the numbers from "one" to "ninety nine" (without space):

// 1 to 99
int twoDigit = unitSum*9;
for (String n : TEN) twoDigit += n.length();
for (String n : TENTH) twoDigit += n.length()*10;

Notice that unitSum was added 9 times, TENTH was added once, and TEN was added 10 times.

("one" to "nine" appears in 1~9, skips 11~19, appears in 21~29, 31~39, ... 91~99)
(For the skipped 11~19, we add each element of TENTH)
(From 21~99, we only added unit digits so far, so we will add each element of TEN 10 times. For example, "twenty" appears 10 times from 20 ~ 29)

Third, we will get the sum from "one" to "Nine Hundred And Ninety Nine":

// 1 to 999
int threeDigit = 0;

threeTemp is 1~99 right now.

int threeTemp = twoDigit;

Then we are going to add "Hundred and" to each number from 1~99.

So it's going to be "Hundred and one," "Hundred and two," "Hundred and ninety nine,"...

without the beginning numbers. (So it's not a complete number like "One Hundred and One.")

threeTemp += (HUNDRED.length() + AND.length())*99;
threeTemp += HUNDRED.length();

Lastly, we are going to add those beginning numbers to complete the 3-digit numbers.

for (String u : UNIT)
   threeDigit += u.length()*100 + threeTemp;

So by now, our variable threeDigit has all the letter countings from 100~999.

The only thing we need to do is to add 1~99 counting to threeDigit complete 1~999 counting.

threeDigit += twoDigit; // 1 to 99 (without any hundredth digit)

Because the question asked for 1~1000, we are going to add the "One Thousand" to the sum.

// 1000
int fourDigit = UNIT[0].length() + THOUSAND.length(); // one thousand

System.out.println(fourDigit + threeDigit);

Answer is 21124
Execution time is 2.075885 ms
Source Code: https://github.com/Ainodyne/Project-Euler/blob/master/Problem017.java


Monday, March 30, 2015

Problem 16 : Power Digit Sum

Power digit sum

Problem 16

215 = 32768 and the sum of its digits is 3 + 2 + 7 + 6 + 8 = 26.
What is the sum of the digits of the number 21000?
                                                                                                       (https://projecteuler.net/problem=16)

Problem 16 is as easy as Problem 15, and really similar to Problem 15.

We are using BigInteger again, since 21000 is.... humongous.

BigInteger num = BigInteger.valueOf(2).pow(1000);

To calculate the sum of the digits, we will use a quick trick here.

Instead of converting each char of our BigInteger String, we will use the char itself.

How the computer deals with char is that char has its own number value.

Therefore, we don't know what value the char '1' has, but we know that '1' - '0' will return the numeric value of 1 because they are consecutive.

char[] arr = num.toString().toCharArray();
for (char c : arr) ans += c - '0';

Answer is 1366
Execution time is 2.681005 ms
Source Code: https://github.com/Ainodyne/Project-Euler/blob/master/Problem016.java


Wednesday, March 18, 2015

Problem 15 : Lattice Paths

Lattice paths

Problem 15

Starting in the top left corner of a 2×2 grid, and only being able to move to the right and down, there are exactly 6 routes to the bottom right corner.
How many such routes are there through a 20×20 grid?
                                                                                                       (https://projecteuler.net/problem=15)

After solving Problem 14, you will be glad that Problem 15 is really easy problem.

..... if you know the mathematical formula to solve it.

Let's look at the picture above. We see four squares connected to each other.

We will change our understanding of the picture: not four squares, but 12 line segments.

 __ __
|__|__|
|__|__|

or

     __        __

|            |            |
     __        __

|            |            |
     __        __

Yes, like this.

We can only go right or down. Which means that we can only make 4 moves total: 2 right and 2 down.

We have 2 r and 2 d, and we will get the total number of different types of combinations possible.

The equation will be totalNumber = 4! / (2! x 2!)

{The number of possible combinations of N terms is always N!.
However, among those N terms, if there are D number of terms which are identical (like 2 r's), then we divide it by D! --> N! / D!}

And the total combination will be 4! / (2! x 2!) = 6, as the problem states.

Aha! Now we can probably finish our solution within 5 lines of code. Or maybe 6.

And as I told you before, using BigInteger becomes really handy this time, as the number gets extremely large when there is combination of 20 + 20 grid lines.

Our ultimate goal is to calculate 40! / (20! x 20!), and here is how to do that using BigInteger:

BigInteger num = BigInteger.ONE;
  
for (int i = 21; i <= 40; i++)
 num = num.multiply(BigInteger.valueOf(i));

for (int i = 2; i <= 20; i++)
 num = num.divide(BigInteger.valueOf(i));

System.out.println(num);

Answer is 137846528820
Execution time is 3.516281 ms


Monday, March 9, 2015

Problem 13 : Large Sum

Large sum

Problem 13

Work out the first ten digits of the sum of the following one-hundred 50-digit numbers.
37107287533902102798797998220837590246510135740250
46376937677490009712648124896970078050417018260538
74324986199524741059474233309513058123726617309629
91942213363574161572522430563301811072406154908250
23067588207539346171171980310421047513778063246676
89261670696623633820136378418383684178734361726757
28112879812849979408065481931592621691275889832738
44274228917432520321923589422876796487670272189318
47451445736001306439091167216856844588711603153276
70386486105843025439939619828917593665686757934951
62176457141856560629502157223196586755079324193331
64906352462741904929101432445813822663347944758178
92575867718337217661963751590579239728245598838407
58203565325359399008402633568948830189458628227828
80181199384826282014278194139940567587151170094390
35398664372827112653829987240784473053190104293586
86515506006295864861532075273371959191420517255829
71693888707715466499115593487603532921714970056938
54370070576826684624621495650076471787294438377604
53282654108756828443191190634694037855217779295145
36123272525000296071075082563815656710885258350721
45876576172410976447339110607218265236877223636045
17423706905851860660448207621209813287860733969412
81142660418086830619328460811191061556940512689692
51934325451728388641918047049293215058642563049483
62467221648435076201727918039944693004732956340691
15732444386908125794514089057706229429197107928209
55037687525678773091862540744969844508330393682126
18336384825330154686196124348767681297534375946515
80386287592878490201521685554828717201219257766954
78182833757993103614740356856449095527097864797581
16726320100436897842553539920931837441497806860984
48403098129077791799088218795327364475675590848030
87086987551392711854517078544161852424320693150332
59959406895756536782107074926966537676326235447210
69793950679652694742597709739166693763042633987085
41052684708299085211399427365734116182760315001271
65378607361501080857009149939512557028198746004375
35829035317434717326932123578154982629742552737307
94953759765105305946966067683156574377167401875275
88902802571733229619176668713819931811048770190271
25267680276078003013678680992525463401061632866526
36270218540497705585629946580636237993140746255962
24074486908231174977792365466257246923322810917141
91430288197103288597806669760892938638285025333403
34413065578016127815921815005561868836468420090470
23053081172816430487623791969842487255036638784583
11487696932154902810424020138335124462181441773470
63783299490636259666498587618221225225512486764533
67720186971698544312419572409913959008952310058822
95548255300263520781532296796249481641953868218774
76085327132285723110424803456124867697064507995236
37774242535411291684276865538926205024910326572967
23701913275725675285653248258265463092207058596522
29798860272258331913126375147341994889534765745501
18495701454879288984856827726077713721403798879715
38298203783031473527721580348144513491373226651381
34829543829199918180278916522431027392251122869539
40957953066405232632538044100059654939159879593635
29746152185502371307642255121183693803580388584903
41698116222072977186158236678424689157993532961922
62467957194401269043877107275048102390895523597457
23189706772547915061505504953922979530901129967519
86188088225875314529584099251203829009407770775672
11306739708304724483816533873502340845647058077308
82959174767140363198008187129011875491310547126581
97623331044818386269515456334926366572897563400500
42846280183517070527831839425882145521227251250327
55121603546981200581762165212827652751691296897789
32238195734329339946437501907836945765883352399886
75506164965184775180738168837861091527357929701337
62177842752192623401942399639168044983993173312731
32924185707147349566916674687634660915035914677504
99518671430235219628894890102423325116913619626622
73267460800591547471830798392868535206946944540724
76841822524674417161514036427982273348055556214818
97142617910342598647204516893989422179826088076852
87783646182799346313767754307809363333018982642090
10848802521674670883215120185883543223812876952786
71329612474782464538636993009049310363619763878039
62184073572399794223406235393808339651327408011116
66627891981488087797941876876144230030984490851411
60661826293682836764744779239180335110989069790714
85786944089552990653640447425576083659976645795096
66024396409905389607120198219976047599490197230297
64913982680032973156037120041377903785566085089252
16730939319872750275468906903707539413042652315011
94809377245048795150954100921645863754710598436791
78639167021187492431995700641917969777599028300699
15368713711936614952811305876380278410754449733078
40789923115535562561142322423255033685442488917353
44889911501440648020369068063960672322193204149535
41503128880339536053299340368006977710650566631954
81234880673210146739058568557934581403627822703280
82616570773948327592232845941706525094512325230608
22918802058777319719839450180888072429661980811197
77158542502016545090413245809786882778948721859617
72107838435069186155435662884062257473692284509516
20849603980134001723930671666823555245252804609722
53503534226472524250874054075591789781264330331690
                                                                                                       (https://projecteuler.net/problem=13)

Problem 13 seems daunting, yet it's easy to solve if you understand the BigInteger.

Just like problem 11, I would store the data into an array of String.

The next step will be converting String to BigInteger object.

There is no fancy algorithm in this problem; it is solely for you to practice using big data because this learning will become surprisingly handy later.

BigInteger initializes from String in Java:

BigInteger num = new BigInteger("1234567890");

And the reason is that computer cannot handle the big number as int or long by itself, so the only way to store the information is using String.

Then we add BigIntegers:

for (String s : nums) ans = ans.add(new BigInteger(s));

Then we convert it back to String and get the first ten digits using substring:

for (String s : nums) ans = ans.add(new BigInteger(s));

Answer is 5537376230
Execution time is 6.157391 ms
Source Code: https://github.com/Ainodyne/Project-Euler/blob/master/Problem013.java


Friday, March 6, 2015

Problem 012 : Highly Divisible Triangular Number

Highly divisible triangular number

Problem 12

The sequence of triangle numbers is generated by adding the natural numbers. So the 7th triangle number would be 1 + 2 + 3 + 4 + 5 + 6 + 7 = 28. The first ten terms would be:
1, 3, 6, 10, 15, 21, 28, 36, 45, 55, ...
Let us list the factors of the first seven triangle numbers:
 1: 1
 3: 1,3
 6: 1,2,3,6
10: 1,2,5,10
15: 1,3,5,15
21: 1,3,7,21
28: 1,2,4,7,14,28
We can see that 28 is the first triangle number to have over five divisors.
What is the value of the first triangle number to have over five hundred divisors?
                                                                                                       (https://projecteuler.net/problem=12)

We have a problem about triangular number, so let's go over the formula first.

The formula to get nth triangular number is n * (n + 1) / 2, which is faster than adding consecutive integers.


Now, how can we get the number of factors?

If we remember our learning from Algebra class, we can instantly know that:

if our number n is:
then
If you don't understand the formula because you don't know the Pi function, then here is an example for you:

36 has 9 factors total: 1, 2, 3, 4, 6, 9, 12, 18, 36.

And 36 prime factorization is 36 = 22 x 32.

Then we use our exponents to calculate. (2 + 1) x ( 2 + 1) = 9, or 9 factors total.

Our implementation of the logic is here:

public static int countFactor(int n)
{
 int count = 0, two = 1;
 while (n%2 == 0)
 {
  two++;
  n/=2;
 }
 int sqrt = (int) Math.sqrt(n);
 for (int i = 1; i <= sqrt; i+=2)
  if (n%i == 0) count += 2;
 if (n == sqrt*sqrt) count--;
 return count*two;
}

Now, it becomes dramatically easy problem.

The one thing I did to improve the efficiency is that instead of putting the original triangular number into the function, I used our formula n * (n + 1) / 2 to divide the number into two components.

Calculating factors for the large number will take a long time, yet getting factors for two sub-numbers and multiplying the total number is way faster and easier to calculate.

int i=1;
for (int count = 0; count <= 500; i++)
{
 if (i%2 == 1) count = countFactor((i+1)/2)*countFactor(i);
 else count = countFactor(i/2)*countFactor(i+1);
}

Answer is 76576500
Execution time is 8.203672 ms
Source Code: https://github.com/Ainodyne/Project-Euler/blob/master/Problem012.java


Saturday, February 28, 2015

Problem 011 : Largest Product in a Grid

Largest product in a grid

Problem 11

In the 20×20 grid below, four numbers along a diagonal line have been marked in red.
08 02 22 97 38 15 00 40 00 75 04 05 07 78 52 12 50 77 91 08
49 49 99 40 17 81 18 57 60 87 17 40 98 43 69 48 04 56 62 00
81 49 31 73 55 79 14 29 93 71 40 67 53 88 30 03 49 13 36 65
52 70 95 23 04 60 11 42 69 24 68 56 01 32 56 71 37 02 36 91
22 31 16 71 51 67 63 89 41 92 36 54 22 40 40 28 66 33 13 80
24 47 32 60 99 03 45 02 44 75 33 53 78 36 84 20 35 17 12 50
32 98 81 28 64 23 67 10 26 38 40 67 59 54 70 66 18 38 64 70
67 26 20 68 02 62 12 20 95 63 94 39 63 08 40 91 66 49 94 21
24 55 58 05 66 73 99 26 97 17 78 78 96 83 14 88 34 89 63 72
21 36 23 09 75 00 76 44 20 45 35 14 00 61 33 97 34 31 33 95
78 17 53 28 22 75 31 67 15 94 03 80 04 62 16 14 09 53 56 92
16 39 05 42 96 35 31 47 55 58 88 24 00 17 54 24 36 29 85 57
86 56 00 48 35 71 89 07 05 44 44 37 44 60 21 58 51 54 17 58
19 80 81 68 05 94 47 69 28 73 92 13 86 52 17 77 04 89 55 40
04 52 08 83 97 35 99 16 07 97 57 32 16 26 26 79 33 27 98 66
88 36 68 87 57 62 20 72 03 46 33 67 46 55 12 32 63 93 53 69
04 42 16 73 38 25 39 11 24 94 72 18 08 46 29 32 40 62 76 36
20 69 36 41 72 30 23 88 34 62 99 69 82 67 59 85 74 04 36 16
20 73 35 29 78 31 90 01 74 31 49 71 48 86 81 16 23 57 05 54
01 70 54 71 83 51 54 69 16 92 33 48 61 43 52 01 89 19 67 48
The product of these numbers is 26 × 63 × 78 × 14 = 1788696.
What is the greatest product of four adjacent numbers in the same direction (up, down, left, right, or diagonally) in the 20×20 grid?
                                                                                                       (https://projecteuler.net/problem=11)

Problem 11 can be done manually without complicated algorithms.

There will be four components in our calculation: horizontal —, vertical |, descending diagonal \ and ascending diagonal /.

First step is to store the numbers into 20 x 20 2-D arrays.

This can be done manually, or using file reader.

public static int[][] read()
{
 int[][] text = new int[20][20];
 File file = new File(text011);
 try (BufferedReader br = new BufferedReader(new FileReader(file)))
 {
  String line;
  for (int i=0; (line = br.readLine()) != null; i++)
  {
   String[] temp = line.split(" ");
   for (int j=0; j < 20; j++)
    text[i][j] = Integer.parseInt(temp[j]);
  }
 }
 catch (IOException e)
 {
  System.err.println(e);
 }
 return text;
}

After this, we will set the limit to 20 - 3, or 17.

The reason is that once we get to the column (or row) 17, we reached the maximum starting point since 17, 18, 19, 20 will form the last four-adjacent groups.

The remaining steps are to calculate the greatest sum using nested for-loops.

Horizontal will be increasing column by 0, 1, 2, 3:

h = grid[i][j] * grid[i][j+1] * grid[i][j+2] * grid[i][j+3];

Vertical will be increasing row by 0, 1, 2, 3:

v = grid[j][i] * grid[j+1][i] * grid[j+2][i] * grid[j+3][i];

Descending Diagonal will be increasing both row and column by 0, 1, 2, 3:

d1 = grid[i][j] * grid[i+1][j+1] * grid[i+2][j+2] * grid[i+3][j+3];

Ascending Diagonal will be decreasing column and increasing row at the same time by 1:

d2 = grid[i][j+3] * grid[i+1][j+2] * grid[i+2][j+1] * grid[i+3][j];

thus maintaining the sum of row and column as i + j + 3.

It was relatively easy problem, and there isn't any faster or fancier algorithm to solve it.


Answer is 70600674
Execution time is 3.771644 ms, or 0.003 seconds
Source Code: https://github.com/Ainodyne/Project-Euler/blob/master/Problem011.java


Friday, February 20, 2015

Problem 010 : Summation of Primes

Summation of primes

Problem 10

The sum of the primes below 10 is 2 + 3 + 5 + 7 = 17.
Find the sum of all the primes below two million.
                                                                                                         https://projecteuler.net/problem=10
Problem 10 is about primality of integers.

There are two main ways to do this, but let's start with the one we already know.

First method is to use boolean isPrime(int n) to check each integer until we reach two million.

public static boolean isPrime(int n)
{
     if (n <= 3) return n > 1;
     else if (n % 2 == 0 || n % 3 == 0) return false;
     else
     {
      for (int i = 5, end = (int)Math.sqrt(n); i <= end; i += 6)
      {
       if (n % i == 0 || n % (i + 2) == 0) return false;
      }
     }
     return true;
}

Loop through each integer using for-loop and check their primality.

We get the answer in 603 ms. Pretty decent, but we are not really satisfied.


So here comes our new approach to this problem.

But before that, let's briefly talk about different ways to store integers in an array.

We will consider storing 1, 3, 5, 8 into an array.


First way is to directly store integers in an array.

index 0 1 2 3
value 1 3 5 8

Second way is to have a boolean array and stored number has true value in its index.

index 0 1 2 3 4 5 6 7 8
value false true false true false true false false true

This array contains exactly same information as the first array.

Only index 1, 3, 5, 8 have true value, which means the "if array has that value" will be true.

The only difference is that the array size is usually larger than the number of integers we want to store.

However, it is phenomenally faster for finding certain integers in the array and adding/ removing certain integer.

Adding would be just changing that index to true, removing would be false.



Using this basic idea, we will now use the Sieve of Eratosthenes.

Sieve of Eratosthenes uses exactly same concept as the second example.

We will make a boolean array called isPrime, and isPrime[n] will return whether n is a prime or not.


The basic concept of the sieve is that "any multiple of prime number is not a prime."

Let's start with a table of numbers from 1 to 20.

1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
16 17 18 19 20


Now, by definition, 1 is not a prime. (as well as any integer less than or equal to 0)

1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
16 17 18 19 20


We are on 2 right now. We started with 0, and until we came to 2, no number could cross out 2.

Therefore 2 is a prime number.

Because 2 is a prime number, any multiple of it (which will be rest of even integers) won't be prime.

1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
16 17 18 19 20


Now, we are on 3. Until we came to 3, no number could cross out 3.

Therefore 3 is a prime number.

Because 3 is a prime number, any multiple of it (6, 9, 12, 15, ...) won't be prime.

1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
16 17 18 19 20


Now we are on 4. Uh-oh, it's already crossed out. Until we came to 4, some number crossed out 4.

So 4 is not a prime, and we just go on to the next number.


We are on 5. Until we came to 5, no number could cross out 5.

Therefore 5 is a prime number.

Because 5 is a prime number, any multiple of it (5, 10, 15, ...) won't be prime.

1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
16 17 18 19 20


And we notice that no additional composite numbers were crossed out this time.

So we know our limit for checking the prime is up to the square root of the original limit.

For example, square root of 20 is 4.47, and 5 is above that limit, so we didn't need to check 5.

In other sieves, we will repeat the above process until we get to the square root of original limit.

1 2 3 4 5
6 7 8 9 10
11 12 13 14 15
16 17 18 19 20

Notice that the uncrossed numbers are all prime numbers.

So if we convert this table into an array of boolean values,

the crossed-out index will have false value, while survived index will have true value.

And this information will be stored in isPrime array and we can just call array every time we need.

For example, if we want to check whether 9 is a prime number, then:

public static void main(String[] args)
{
    if (isPrime[9])
    {
        System.out.println("9 is a prime number.");
    }
    else System.out.println("9 is not a prime number."); // this will print
}


And here is the implementation for the sieve.

public static boolean[] primeList(int n)
{
        //sieve of Eratosthenes
        boolean[] prime = new boolean[n+1];
        Arrays.fill(prime, 2, prime.length, true);
        for (int i=4; i < prime.length; i+=2) prime[i] = false;
        for (int i=3, end = (int)Math.sqrt(n); i <= end; i+=2)
        {
         if (prime[i])
          for (int j=i*i; j <= n; j+=2*i)
           prime[j] = false;
        }
        return prime;
}

Answer is 142913828922
Execution time is 15 ms, or 0.015 seconds
Source code: https://github.com/Ainodyne/Project-Euler/blob/master/Problem010.java


Wednesday, February 11, 2015

Problem 009 : Special Pythagorean Triplet

Special Pythagorean triplet

Problem 9

A Pythagorean triplet is a set of three natural numbers, a < b < c, for which,
a2 + b2 = c2
For example, 32 + 42 = 9 + 16 = 25 = 52.
There exists exactly one Pythagorean triplet for which a + b + c = 1000.
Find the product abc.
                                                                                                           https://projecteuler.net/problem=9
Problem 9 is about Pythagorean triplet.

The basic formula is :

A2 + B2 = C2

Using this formula will easily solve the problem.

One quick trick is to set the limit to int A and B so that we can reduce the time.

Assuming that B is always greater than or equal to A, B will always start with A.

Also, A will be less than one third of the perimeter since A is the smallest side of a triangle.

B will be less than one half of the perimeter since B should be smaller than the hypotenuse, C.

for (int a=1, end = 1000/3; a < end; a++)
{
 for (int b=a, end2 = 1000/2; b < end2; b++)
 {
  int c = 1000-a-b;
  if (c>0 && a*a + b*b == c*c)
  {
   System.out.println(a*b*c);
   return;
  }
 }
}


Answer is 31875000
Execution time is 1.7 ms, or 0.0017 seconds

Monday, February 2, 2015

Problem 008 : Largest Product in a Series

Largest product in a series

Problem 8

The four adjacent digits in the 1000-digit number that have the greatest product are 9 × 9 × 8 × 9 = 5832.
73167176531330624919225119674426574742355349194934
96983520312774506326239578318016984801869478851843
85861560789112949495459501737958331952853208805511
12540698747158523863050715693290963295227443043557
66896648950445244523161731856403098711121722383113
62229893423380308135336276614282806444486645238749
30358907296290491560440772390713810515859307960866
70172427121883998797908792274921901699720888093776
65727333001053367881220235421809751254540594752243
52584907711670556013604839586446706324415722155397
53697817977846174064955149290862569321978468622482
83972241375657056057490261407972968652414535100474
82166370484403199890008895243450658541227588666881
16427171479924442928230863465674813919123162824586
17866458359124566529476545682848912883142607690042
24219022671055626321111109370544217506941658960408
07198403850962455444362981230987879927244284909188
84580156166097919133875499200524063689912560717606
05886116467109405077541002256983155200055935729725
71636269561882670428252483600823257530420752963450
Find the thirteen adjacent digits in the 1000-digit number that have the greatest product. What is the value of this product?
                                                                                                           https://projecteuler.net/problem=8

Problem 8 is a simple problem if we know how to deal with string and char.

First, we store the series into a string.

private static final String NUM = "7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450";

Then we will store each item into char array so that we attain an easy access to each value.

int[] digit = new int[NUM.length()];
for (int i=0; i < NUM.length(); i++)
 digit[i] = Character.digit(NUM.charAt(i), 10);

Now, we just need to use nested for-loop to find the greatest 13-adjacent product in the series.

long max = 0;
for (int i=0; i <= NUM.length()-LEN; i++)
{
 long temp = 1;
 for (int j=i; j < i+LEN; j++)
 {
  if (digit[j] == 0) break;
  temp *= digit[j];
 }
 if (temp > max) max = temp;
}
System.out.println(max);

Answer is 23514624000
Execution time is 1 ms, or 0.001 seconds
Source code: https://github.com/Ainodyne/Project-Euler/blob/master/Problem008.java