Why does the following for-loop compute floor(log_2(m)), rather than ceil(log_2(m)) (which is what I would have expected)?
for (int m = <some number>; m > 1; m /= 2) //<some number> is integer >= 0
cout << “Here\n”;
Since, for example, 3 / 2 is 1 when both 3 and 2 are integers, the loop will terminate without considering the fractions. So you get log_2(3) = 1.
Related
The project I am working on needs to find some way of verifying that a variable after the modulus operation is either number != 0, number > 0, or number < (0 < x < 1). I have the first two understood, however employing the mod operator to accomplish the third is difficult.
Essentially what I am looking to do is to be able to catch a value similar to something like this:
a) 2 % 6
b) flag it and store the fact that .333 is less than 1 in a variable (bool)
c) perform a follow up action on the basis that the variable returned a value less than 1.
I have a feeling that the mod operator cannot perform this by itself. I'm looking for a way to utilize its ability to find remainders in order to produce a result.
edit: Here is some context. Obveously the below code will not give me what I want.
if (((inGameTotalCoins-1) % (maxPerTurn+1)) < 0){
computerTakenCoins = (inGameTotalCoins - 1);
inGameTotalCoins = 1;
The quotient is 0(2/6) with the fractional part discarded.The fractional part is .3333 ... So you are basically talking about the fractional part of the quotient , not the modulus value. Modulus can be calculated as follows :
(a / b) * b + (a % b) = a
(2 / 6) * 6 + (2 % 6) = 2
0 * 6 + (2 % 7) = 2
(2 % 6) = 2
*6 goes into 2 zero times with 2 left over.
How about this:-
int number1 = 2;
int number2 = 6;
float number3 = static_cast<float>(number1) / static_cast<float>(number2);
bool isfraction = number3 > 0 && number3 < 1;
if(isfraction){
std :: cout << "true\n" << number3;
}
else{
std :: cout << "false" << number3;
}
number != 0 includes number > 0 and number < (0 x < 1). And number > 0 includes number < (0 x < 1). Generally we do not classify so. For example, people classify number > 0, number == 0 and number < 0.
If you do the modulous operation, you get remainder. Remainder's definition is not one thing. You can see it at https://en.m.wikipedia.org/wiki/Remainder
I was trying to solve the following problem but I am stuck. I think it is an dynamic programming problem.
Could you please give some ideas?
Problem:
Given a positive number n (n<=18) and a positive number m (m<=100).
Call S(x) is sum of digits of x.
For example S(123)=6
Count the number of integer number x that has n digits and S(x)=S(x*m)
Example:
n= 1, m= 2 result= 2
n= 18, m=1 result = 1000000000000000000
Thanks in advance.
First, we need to come up with a recursive formula:
Starting from the least significant digit (LSD) to the most significant digit (MSD), we have a valid solution if after we compute the MSD, we have S(x) = S(x*m)
To verify whether a number is a valid solution, we need to know three things:
What is the current sum of digit S(x)
What is the current sum of digit S(x*m)
What is the current digit.
So, to answer for the first and last, it is easy, we just need to maintain two parameters sumand digit. To compute the second, we need to maintain two additional parameters, sumOfProduct and lastRemaining.
sumOfProduct is the current S(x*m)
lastRemaining is the result of (m * current digit value + lastRemaining) / 10
For example, we have x = 123 and m = 23
First digit = 3
sum = 3
digit = 0
sumOfProduct += (lastRemaining + 3*m) % 10 = 9
lastRemaining = (m*3 + 0)/10 = 6
Second digit = 2
sum = 5
digit = 1
sumOfProduct += (lastRemaining + 2*m) % 10 = 11
lastRemaining = (m*2 + lastRemaining)/10 = 5
Last digit = 1
sum = 6
digit = 2
sumOfProduct += (lastRemaining + m) % 10 = 19
lastRemaining = (m + lastRemaining)/10 = 2
As this is the last digit, sumOfProduct += S(lastRemaining) = 21.
So, x = 123 and m = 23 is not a valid number. Check x*m = 2829 -> S(x*m) = S(2829) = 21.
So, we can have a recursive formula with state (digit, sum, sumOfProdut, lastRemaining).
Thus, our dynamic programming state is dp[18][18*9 + 1][18*9 + 1][200] (as m <= 100, so lastRemaining not larger than 200).
Now the dpstate is over 300 MB, but if we use an iterative approach, it will become smaller, using about 30MB
This problem can be calculated directly.
From those documents: 1, 2, and 3 (thanks to #LouisRicci for finding them), we can state:
The Repeating Cycle of Sum of Digits of Multiples starts repeating at the last digit but one from the base-number (9 for base-10)
S(x) can be defined as: let a equal x mod 9, if a is zero, take 9 as result, else take a. You can play it in the ES6 snippet below:
IN.oninput= (_=> OUT.value= (IN.value % 9) || 9);
IN.oninput();
Input x:<br>
<input id=IN value=123><br>
S(x):<br>
<input id=OUT disabled>
Multiplication rule: S(x * y) = S(S(x) * S(y)).
S(x) and S(x*m) will always be true for x=0, this way there is no zero result.
With the above statements in mind, we should calc the Repeating Cycle of Sum of Digits of Multiples for S(m):
int m = 88;
int Sm = S(m); // 7
int true_n_times_in_nine = 0;
for (int i=1; i<=9; i++) {
true_n_times_in_nine += i == S(i * Sm);
}
The answer then:
result = ((pow(10, n) / 9) * true_n_times_in_nine);
Plus one because of case zero:
result++;
Here is an ES6 solution:
S= x=> (x % 9) || 9;
TrueIn9= (m, Sm=S(m))=> [1,2,3,4,5,6,7,8,9].filter(i=> i==S(i*Sm)).length;
F= (n,m)=> ~~(eval('1e'+n)/9) * TrueIn9(m) + 1;
N.oninput=
M.oninput=
f=(_=> OUT.value= F(N.value | 0, M.value | 0));
f();
Input n: (number of digits)<br>
<input id=N value=1><br>
Input m: (multiplicative number)<br>
<input id=M value=2><br>
F(n,m):<br>
<input id=OUT disabled><br>
Let's say that I need to format the output of an array to display a fixed number of elements per line. How do I go about doing that using modulus operation?
Using C++, the code below works for displaying 6 elements per line but I have no idea how and why it works?
for ( count = 0 ; count < size ; count++)
{
cout << somearray[count];
if( count % 6 == 5) cout << endl;
}
What if I want to display 5 elements per line? How do i find the exact expression needed?
in C++ expression a % b returns remainder of division of a by b (if they are positive. For negative numbers sign of result is implementation defined). For example:
5 % 2 = 1
13 % 5 = 3
With this knowledge we can try to understand your code. Condition count % 6 == 5 means that newline will be written when remainder of division count by 6 is five. How often does that happen? Exactly 6 lines apart (excercise : write numbers 1..30 and underline the ones that satisfy this condition), starting at 6-th line (count = 5).
To get desired behaviour from your code, you should change condition to count % 5 == 4, what will give you newline every 5 lines, starting at 5-th line (count = 4).
Basically modulus Operator gives you remainder
simple Example in maths what's left over/remainder of 11 divided by 3? answer is 2
for same thing C++ has modulus operator ('%')
Basic code for explanation
#include <iostream>
using namespace std;
int main()
{
int num = 11;
cout << "remainder is " << (num % 3) << endl;
return 0;
}
Which will display
remainder is 2
It gives you the remainder of a division.
int c=11, d=5;
cout << (c/d) * d + c % d; // gives you the value of c
This JSFiddle project could help you to understand how modulus work:
http://jsfiddle.net/elazar170/7hhnagrj
The modulus function works something like this:
function modulus(x,y){
var m = Math.floor(x / y);
var r = m * y;
return x - r;
}
You can think of the modulus operator as giving you a remainder. count % 6 divides 6 out of count as many times as it can and gives you a remainder from 0 to 5 (These are all the possible remainders because you already divided out 6 as many times as you can). The elements of the array are all printed in the for loop, but every time the remainder is 5 (every 6th element), it outputs a newline character. This gives you 6 elements per line. For 5 elements per line, use
if (count % 5 == 4)
I have this question:
Write a program to display the sum of the series 1+1/2+2/3+3/4+...
+(n-1)/n (using for loop).
I did not understand the series well, kindly explaint it for me if n = 6. (no need for coding).
For n = 6, you need to calculate 1 + (1/2) + (2/3) + (3/4) + (4/5) + (5/6)
The question is asking you to fill the details in to the following program:
sum = 0;
for (int i=1; i<=n; ++i) {
sum += ???
}
return sum;
where ??? should give you the following values:
i | ???
-------
1 | 1
2 | 1/2
3 | 2/3
4 | 3/4
5 | 4/5
6 | 5/6
.
.
.
n | (n-1)/n
It is simple. The biggest hint is the nth term itself : (n-1)/n
Except the first term, every other term can be represented by an expression of the form of (i-1)/i, which means the algorithm boils down to this:
double sum = 1.0; //first term
for(int i = 2 ; i <= n ; ++i) //2nd to nth term!
sum += (i-1.0)/i;
Why did I write (i-1.0) instead of (i-1)?
You need to figure that out yourself, as I already have explained and written almost the whole code.
Write a loop that evaluates (n-1)/n for each value of n and adds the outcome to some variable.
That "some variable" is the answer.
Set n=6
The final term of the series can also be written as n / (n + 1) where n is a value that iterates.
Assume the availability of a function is_prime. Assume a variable n has been associated with a positive integer. Write the statements needed to compute the sum of the first n prime numbers. The sum should be associated with the variable total.
Note: is_prime takes an integer as a parameter and returns True if and only if that integer is prime.
Well, I wrote is_prime function like this:
def is_prime(n):
n = abs(n)
i = 2
while i < n:
if n % i == 0:
return False
i += 1
return True
but it works except for n==0. How can I fix it to make it work for every integer?
I'm trying to find out answers for both how to write function to get the sum of first n prime numbers and how to modify my is_prime function, which should work for all possible input, not only positive numbers.
Your assignment is as follows.
Assume the availability of a function is_prime. Assume a variable n has been associated with a positive integer. Write the statements needed to compute the sum of the first n prime numbers. The sum should be associated with the variable total.
As NVRAM rightly points out in the comments (and nobody else appears to have picked up on), the question states "assume the availability of a function is_prime".
You don't have to write that function. What you do have to do is "write the statements needed to compute the sum of the first n prime numbers".
The pseudocode for that would be something like:
primes_left = n
curr_num = 2
curr_sum = 0
while primes_left > 0:
if is_prime(curr_num):
curr_sum = curr_sum + curr_num
primes_left = primes_left - 1
curr_num = curr_num + 1
print "Sum of first " + n + " primes is " + curr_sum
I think you'll find that, if you just implement that pseudocode in your language of choice, that'll be all you have to do.
If you are looking for an implementation of is_prime to test your assignment with, it doesn't really matter how efficient it is, since you'll only be testing a few small values anyway. You also don't have to worry about numbers less than two, given the constraints of the code that will be using it. Something like this is perfectly acceptable:
def is_prime(num):
if num < 2:
return false
if num == 2:
return true
divisor = 2
while divisor * divisor <= num:
if num % divisor == 0:
return false
divisor = divisor + 1
return true
In your problem statement it says that n is a positive integer. So assert(n>0) and ensure that your program outer-loop will never is_prime() with a negative value nor zero.
Your algorithm - trial division of every successive odd number (the 'odd' would be a major speed-up for you) - works, but is going to be very slow. Look at the prime sieve for inspiration.
Well, what happens when n is 0 or 1?
You have
i = 2
while i < n: #is 2 less than 0 (or 1?)
...
return True
If you want n of 0 or 1 to return False, then doesn't this suggest that you need to modify your conditional (or function itself) to account for these cases?
Why not just hardcode an answer for i = 0 or 1?
n = abs(n)
i = 2
if(n == 0 || n == 1)
return true //Or whatever you feel 0 or 1 should return.
while i < n:
if n % i == 0:
return False
i += 1
return True
And you could further improve the speed of your algorithm by omitting some numbers. This script only checks up to the square root of n as no composite number has factors greater than its square root if a number has one or more factors, one will be encountered before the square root of that number. When testing large numbers, this makes a pretty big difference.
n = abs(n)
i = 2
if(n == 0 || n == 1)
return true //Or whatever you feel 0 or 1 should return.
while i <= sqrt(n):
if n % i == 0:
return False
i += 1
return True
try this:
if(n==0)
return true
else
n = abs(n)
i = 2
while i < n:
if n % i == 0:
return False
i += 1
return True