I need help with these, and don't quite understand. Can someone please help shed some light.

1)

Assume an algorithm is O(N2) and it takes it 40 seconds to process a 100 elements. How long would it take it to process just 50 elements?

2)

Assume an algorithm is O(N2) and it takes it 10 seconds to process a given dataset. Can we assume that another algorithm that is also O(N2) will also take 10 seconds to process the same dataset?

many thanks

1)

Assume an algorithm is O(N2) and it takes it 40 seconds to process a 100 elements. How long would it take it to process just 50 elements?

2)

Assume an algorithm is O(N2) and it takes it 10 seconds to process a given dataset. Can we assume that another algorithm that is also O(N2) will also take 10 seconds to process the same dataset?

many thanks

To 1 if it's the same algorithm running on the same machine then you could probably assume that it just needs to be cut in half.

2) I'm not going to directly answer this but I will say that

O(N^2) is just a notation to say that all 'certain kinds' of functions belong to the set O(N^2) which means that all of these functions are growing at the same rate towards their upper bound because O is the upper bound.

So basically you could say that an algorithm who's time analysis is 0.015n^2+2n+4 belongs to the set O(n^2) and at the same time an algorithm who's time analysis is 1000000n^2+90n+15 also belongs to the set O(n^2). It means both of these algorithms belong to O(n^2).

Are you trying to teach yourself algorithms?

2) I'm not going to directly answer this but I will say that

O(N^2) is just a notation to say that all 'certain kinds' of functions belong to the set O(N^2) which means that all of these functions are growing at the same rate towards their upper bound because O is the upper bound.

So basically you could say that an algorithm who's time analysis is 0.015n^2+2n+4 belongs to the set O(n^2) and at the same time an algorithm who's time analysis is 1000000n^2+90n+15 also belongs to the set O(n^2). It means both of these algorithms belong to O(n^2).

Are you trying to teach yourself algorithms?

Thanks sysopfp,

it's for class, and it doesnt make any sense to me. im trying to undertsand it, but its very difficult for me.

it's for class, and it doesnt make any sense to me. im trying to undertsand it, but its very difficult for me.

Also, do you have any website related information for things like hex conversion and bit patterns....?

Thanks.

Thanks.

Hex conversion? You mean like base conversion? http://www.mathsisfun.com/base-conversion-method.html

Messing with bit patterns in c++ will generally relate to playing around with bitwise operators.

http://faq.cprogramming.com/cgi-bin/smartfaq.cgi?answer=1042834793&id=1043284351

Here's a website with a pretty cool list of bit hacks

http://www-graphics.stanford.edu/~seander/bithacks.html#RoundUpPowerOf2Float

This is a pretty good review material whenever you forget something...

http://www.gamedev.net/page/resources/_/technical/general-programming/bitwise-operations-in-c-r1563

Messing with bit patterns in c++ will generally relate to playing around with bitwise operators.

http://faq.cprogramming.com/cgi-bin/smartfaq.cgi?answer=1042834793&id=1043284351

Here's a website with a pretty cool list of bit hacks

http://www-graphics.stanford.edu/~seander/bithacks.html#RoundUpPowerOf2Float

This is a pretty good review material whenever you forget something...

http://www.gamedev.net/page/resources/_/technical/general-programming/bitwise-operations-in-c-r1563

Its for c++ class.. and I don't understand this, and dont have any resources.

For example:

1)

Assume that 11001101 represent a positive integer in base 2.

What is that integer in base 10? You must show your work.

2)

Assume that 1111101101001000 represent a positive integer in base 2.

What is that integer in base 10? You must show your work.

3)

Write the bit pattern 11010111 in Hex.

4)

Write the bit pattern 1010001011110111 in Hex.

5)

Assume the value DF in Hex. What is it in base 2?

6)

Assume the value 3F5A in Hex. What is it in base 2?

I am struggling finding help with this stuff.

For example:

1)

Assume that 11001101 represent a positive integer in base 2.

What is that integer in base 10? You must show your work.

2)

Assume that 1111101101001000 represent a positive integer in base 2.

What is that integer in base 10? You must show your work.

3)

Write the bit pattern 11010111 in Hex.

4)

Write the bit pattern 1010001011110111 in Hex.

5)

Assume the value DF in Hex. What is it in base 2?

6)

Assume the value 3F5A in Hex. What is it in base 2?

I am struggling finding help with this stuff.

Last edited on

Base conversion I posted above

Look at this how can I represent the number 1573 in base 10?

Well it's

1X10^3 + 5 * 10^2 + 7 * 10^1 + 3 * 10^0

1*1000 + 5*100 + 7*10 + 3*1

That works for any base

136 in base 7 is

1 * 7^2 + 3 * 7^1 + 6 * 7^0

If you do that math that will tell you the value of 136_{7} in decimal or base 10.

If I want to find the base 7 representation of 1573 then I can use the division algorithm

1573 = 7 * 224 + 5

224 = 7 * 32 + 0

32 = 7 * 4 + 4

4 = 7 * 0 + 4

Now you start at the bottom and go up using the remainders so that becomes

4405_{7}

Hex is just using 0-F where A is 10 and so on.

Look at this how can I represent the number 1573 in base 10?

Well it's

1X10^3 + 5 * 10^2 + 7 * 10^1 + 3 * 10^0

1*1000 + 5*100 + 7*10 + 3*1

That works for any base

136 in base 7 is

1 * 7^2 + 3 * 7^1 + 6 * 7^0

If you do that math that will tell you the value of 136

If I want to find the base 7 representation of 1573 then I can use the division algorithm

1573 = 7 * 224 + 5

224 = 7 * 32 + 0

32 = 7 * 4 + 4

4 = 7 * 0 + 4

Now you start at the bottom and go up using the remainders so that becomes

4405

Hex is just using 0-F where A is 10 and so on.

For 1, I don't think it wouldn't take half the time, it would take a quarter, its O(N^2) not O(N2).

n = 100, s = 40;

n * n = 10,000

10,000 / s = 250 n per second

n = 50, s = ?

50 * 50 = 2,500

s = 2,500 / 250 n per second = 10;

so it would take 10 seconds.

as for converting binary to decimal, its really simple, binary starts from the right and moves left, if its 0 you ignore it, if its 1 then the 'value' of that 1 is 2^(x - 1), where x is the distance from 1 to the right-end of the binary number, all you have to do is add up all the values of the 1's.

left: 11001101 :right

left

1 = value 128 (pos 8, 2^(8-1) = 2^7 = 128)

1 = value 64 (pos 7, 2^(7-1) = 2^6 = 64)

0 = ignore (value 32, pos 6, 2^(6-1) = 2^5 = 32)

0 = ignore (value 16, pos 5, 2^(5-1) = 2^4 = 16)

1 = value 8 (pos 4, 2^(4-1) = 2^3 = 8)

1 = value 4 (pos 3, 2^(3-1) = 2^2 = 4)

0 = ignore (value 2, pos 2, 2^(2-1) = 2^1 = 2)

1 = value 1 (pos 1, 2^(1-1) = 2^0 = 1)

right

128+64+0+0+8+4+0+1 = 205

you can use an online binary->decimal converter to check your answer is correct.

n = 100, s = 40;

n * n = 10,000

10,000 / s = 250 n per second

n = 50, s = ?

50 * 50 = 2,500

s = 2,500 / 250 n per second = 10;

so it would take 10 seconds.

as for converting binary to decimal, its really simple, binary starts from the right and moves left, if its 0 you ignore it, if its 1 then the 'value' of that 1 is 2^(x - 1), where x is the distance from 1 to the right-end of the binary number, all you have to do is add up all the values of the 1's.

left: 11001101 :right

left

1 = value 128 (pos 8, 2^(8-1) = 2^7 = 128)

1 = value 64 (pos 7, 2^(7-1) = 2^6 = 64)

0 = ignore (value 32, pos 6, 2^(6-1) = 2^5 = 32)

0 = ignore (value 16, pos 5, 2^(5-1) = 2^4 = 16)

1 = value 8 (pos 4, 2^(4-1) = 2^3 = 8)

1 = value 4 (pos 3, 2^(3-1) = 2^2 = 4)

0 = ignore (value 2, pos 2, 2^(2-1) = 2^1 = 2)

1 = value 1 (pos 1, 2^(1-1) = 2^0 = 1)

right

128+64+0+0+8+4+0+1 = 205

you can use an online binary->decimal converter to check your answer is correct.

Last edited on

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