Negating INT_MIN in CPP - c++

The question I am trying to solve is:
Implement pow(x, n), which calculates x raised to the power n (Leetcode problem 50)
I have the following code:
class Solution {
public:
double myPow(double x, int n) {
if (n == 0) {
cout << "in last";
return 1;
} else if (n < 0) {
x = 1 / x;
return myPow(x, -n);
} else if (n % 2 == 0) {
double y;
cout << "in even";
y = myPow(x, n / 2);
cout << "y is ";
cout << y;
return (y * y);
}
else {
cout << "in odd";
double j = myPow(x, n - 1);
cout << "j is ";
cout << x * j;
return (x * j);
}
}
};
When ran for the test case x=1.00000 and n = -2147483648. I am getting the error:
runtime error: negation of -2147483648 cannot be represented in type 'int'; cast to an unsigned type to negate this value to itself (solution.cpp)
Why do I get this and how shall I solve it? TIA

If you want to support -2147483648 then you need to use a long long type, not an int.
If int is a 32 bit 2's complement type then 2147483648 is actually a long or a long long type.
There are no such things as negative literals in C++ (-2147483648 is a compile time evaluable constant expression consisting of the negation of the literal 2147483648), so -2147483648 is either a long or a long long type too. This is why you'll often see INT_MIN defined as -2147483647 - 1.
If the above is the case on your platform then the behaviour of your code is undefined for that input, as you are overflowing an int type.

A 4 bytes (or 32 bits) int has a range of -2,147,483,648 to 2,147,483,647, thus if you negate -2,147,483,648 you can't represent it as int.
You could try using unsigned int (which has a range of
0 to 4,294,967,295) or long long int (which a range of -(2^63) to (2^63)-1) make this negation and fit the positive value there.
I opted for a different approach and handled this case separately since it is the only value that will cause us trouble.
Add 1 to that negative value before negating it.
To compensate for that I multiplicate the base once more separately.
if (n == -2,147,483,648)
{
return (1.0/x) * myPow(1.0/x, -(n + 1));
}
The full solution
double myPow(double x, int n)
{
if (n == 0) return 1.0;
if (n < 0)
{
if (n == -2,147,483,648)
{
return (1.0/x) * myPow(1.0/x, -(n + 1));
}
return myPow(1.0/x, -n);
}
return (n % 2 == 0) ? myPow(x * x, n / 2) : x * myPow(x * x, n / 2);
}

Related

error: invalid operands to binary expression ('float' and 'float') return (x & (1 << 31)) == 0

Hi,I have a code like this:
STATIC bool is_pos_float(float x) {
return (x & (1 << 31)) == 0;
}
But after compile, it shows:
error: invalid operands to binary expression ('float' and 'float')
return (x & (1 << 31)) == 0;
What's the problem?
The left operand of built-in operator& must be an integral type, not floating_point. Do this instead.
inline bool is_pos_float(float x) {
return x > 0.0f;
}
Edit. Assuming that what the OP really wants is to muck around in the floating point format, I think this will work if the machine is Little Endian.
bool high_bit_zero(float x) {
constexpr unsigned sz = sizeof(float);
using raw = unsigned char[sz];
raw *c = reinterpret_cast<raw*>(&x);
return !((*c)[sz-1] & (1 << 7));
}
What do you plan to do? Playing with the bits of a float variable???
If you are planning to make sure x is positive or zero, the solution is using !(x<0.0f).
Converting float to int causes neglecting small numbers between -1 and +1 which does not work too.
If you insist on doing something hacky, have a look at IEEE-754 standard:
#include <iostream>
using namespace std;
static bool is_posz_float(float x)
{
static_assert(sizeof(float) == 4, "Unexpected type size!");
union IEEE754{
float number;
unsigned char bytes[sizeof(float)];
};
IEEE754 a;
a.number=x;
return (a.bytes[sizeof(float)-1] & (1 << 7)) == 0;
}
void test(float x)
{
if(is_posz_float(x))
cout<<x<<" is a positive number or zero."<<endl;
else
cout<<x<<" is a negative number."<<endl;
}
int main() {
test(0.1f);
test(0.0f);
test(3.14f);
test(-0.11);
return 0;
}
The results:
0.1 is a positive number or zero.
0 is a positive number or zero.
3.14 is a positive number or zero.
-0.11 is a negative number.

int limit in permutation program (C++)

I wrote a simple C++ program that computes permutations/factorials in 2 different methods. The problem arises when I try to use the longer method (p1) with 20 and 2. Granted, "20!" is a HUGE number. Is there a limit with integers when calculating the factorial using the recursion method?
#include <iostream>
using namespace std;
int p1(int n, int r);
int p2(int n, int r);
int factorial(int x);
int main()
{
cout << p1(10, 8) << endl;
cout << p2(10, 8) << endl;
cout << p1(4, 3) << endl;
cout << p2(4, 3) << endl;
cout << p1(20, 2) << endl; // THE NUMBER PRINTS INCORRECTLY HERE
cout << p2(20, 2) << endl;
system("PAUSE");
return EXIT_SUCCESS;
}
int p1(int n, int r) // long version, recursively calls factorial
{
return (factorial(n) / factorial(n - r));
}
int factorial(int x)
{
if (x == 0)
return 1;
else if (x > 0)
return (x * factorial(x - 1));
}
int p2(int n, int r) // shortcut, does arithmetic in for loop
{
int answer = n;
for (int i = 1; i < r; i++)
{
answer *= n - 1;
n--;
}
return answer;
}
20! is 2.4*10^18
You can check out a reference of limits.h to see what the limits are.
consider that 2^32 is 4.2*10^9. long int is usually a 32-bit value.
consider that 2^64 is 1.8*10^19, so a 64-bit integer will get you through 20! but no more. unsigned long long int should do it for you then.
unsigned long long int p1(int n, int r)
{
return (factorial(n) / factorial(n - r));
}
unsigned long long int factorial(unsigned long long int x)
{
if (x == 0)
return 1;
else if (x > 0)
return (x * factorial(x - 1));
}
unsigned long long int p2(int n, int r)
{
unsigned long long int answer = n;
for (int i = 1; i < r; i++)
{
answer *= n - 1;
n--;
}
return answer;
}
If you are allowed in this assignment, consider using float or double, unless you need absolute precision, or just need to get to 20 and be done. If you do need absolute precision and to perform a factorial above 20, you will have to devise a way to store a larger integer in a byte array like #z32a7ul states.
Also you can save an operation by doing answer *= --n; to pre-decrement n before you use it.
20! exceeds the integer range. Your shortcut function doesn't exceed simply because you don't calculate the whole faculty, but 20*19
If you really need it, you may create a class that holds a variable-length array of bytes, and define operators on it. In that case, only the available memory and your patiance will limit the size of numbers. I think Scheme (a LISP dialect) does something like that.

C++ function to preform division

Im trying to make a function that does division with out the / symbol
long q(int nm1, int nm2)
{
long q = 0;
while ( num1 > num2)
{
some subtraction here
}
return q;
}
the idea is to assume the input is in order and the first is to be divided by the second.
This means subtract the second from the first until the second is less then the first number.
I tried many different ways to do this but for what ever reason I cant hit it.
For now I am assuming the number is positive and wont return division by zero (I can fix that later by calling my other functions)
This means subtract the the second from the first until the second is less than the first number.
And what's the problem with that?
int div(int num, int den)
{
int frac;
for (frac = 0; num >= den; num -= den, frac++)
;
return frac;
}
What you're original post is trying to do is the Division by repeated subtraction algorithm. Have a look at Wikipedia:
The simplest division algorithm, historically incorporated into a
greatest common divisor algorithm presented in Euclid's Elements, Book
VII, Proposition 1, finds the remainder given two positive integers
using only subtractions and comparisons
while N ≥ D do
N := N - D
end
return N
Just add a counter in your while loop to keep track of the number of iterations (which is what you will want to return) and after your loop N will contain your remainder (if it is not 0 of course).
This code will work only if the num and den are integer values.
int main( int num, int den )
{
if(den==0)
{
return 1;
}
else
{
while(num!=0)
{
num = num - den;
}
}
return 0;
}
Just improving the above answer slightly.
Use modulus
long div(int num, int den)
{
int frac;
int num2 = num;
for (frac = 0; num2 >= den; num2 -= den, frac++)
;
// i needed the original num and den.
return ( (long) frac )+( num % den );
// casts frac to long then adds the modulus remainder of the values.
}
just a bit optimization: you don't want to have linear time complexity with the input value
int div(int num, int den)
{
int result = 0;
int i;
long long x;
long long y;
if (num < 0) return -div(-num, den);
if (den < 0) return -div(num, den);
if (num < den) return 0;
x = num;
y = den;
i = 0;
while((i < 32) && (x > (y << (i+1)))) i++;
for(;i>0; i++)
{
if (x > (y << i))
{
x -= y;
result += 1 << i;
}
}
return result;
}

Pow() calculates wrong?

I need to use pow in my c++ program and if i call the pow() function this way:
long long test = pow(7, e);
Where
e is an integer value with the value of 23.
I always get 821077879 as a result. If i calculate it with the windows calculator i get 27368747340080916343.. Whats wrong here? ):
I tried to cast to different types but nothing helped here... What could be the reason for this? How i can use pow() correctly?
Thanks!
The result is doesn't fit in long long.
If you want to deal with very big numbers then use a library like GMP
Or store it as a floating point (which won't be as precise).
Applying modulo:
const unsigned int b = 5; // base
const unsigned int e = 27; // exponent
const unsigned int m = 7; // modulo
unsigned int r = 1; // remainder
for (int i = 0; i < e; ++i)
r = (r * b) % m;
// r is now (pow(5,27) % 7)
723 is too big to fit into a long long (assuming it's 64 bits). The value is getting truncated.
Edit: Oh, why didn't you say that you wanted pow(b, e) % m instead of just pow(b, e)? That makes things a whole lot simpler, because you don't need bigints after all. Just do all your arithmetic mod m. Pubby's solution works, but here's a faster one (O(log e) instead of O(e)).
unsigned int powmod(unsigned int b, unsigned int e, unsigned int m)
{
assert(m != 0);
if (e == 0)
{
return 1;
}
else if (e % 2 == 0)
{
unsigned int squareRoot = powmod(b, e / 2, m);
return (squareRoot * squareRoot) % m;
}
else
{
return (powmod(b, e - 1, m) * b) % m;
}
}
See it live: https://ideone.com/YsG7V
#include<iostream>
#include<cmath>
int main()
{
long double ldbl = pow(7, 23);
double dbl = pow(7, 23);
std::cout << ldbl << ", " << dbl << std::endl;
}
Output: 2.73687e+19, 2.73687e+19

Rounding up to the nearest multiple of a number

OK - I'm almost embarrassed posting this here (and I will delete if anyone votes to close) as it seems like a basic question.
Is this the correct way to round up to a multiple of a number in C++?
I know there are other questions related to this but I am specficially interested to know what is the best way to do this in C++:
int roundUp(int numToRound, int multiple)
{
if(multiple == 0)
{
return numToRound;
}
int roundDown = ( (int) (numToRound) / multiple) * multiple;
int roundUp = roundDown + multiple;
int roundCalc = roundUp;
return (roundCalc);
}
Update:
Sorry I probably didn't make intention clear. Here are some examples:
roundUp(7, 100)
//return 100
roundUp(117, 100)
//return 200
roundUp(477, 100)
//return 500
roundUp(1077, 100)
//return 1100
roundUp(52, 20)
//return 60
roundUp(74, 30)
//return 90
This works for positive numbers, not sure about negative. It only uses integer math.
int roundUp(int numToRound, int multiple)
{
if (multiple == 0)
return numToRound;
int remainder = numToRound % multiple;
if (remainder == 0)
return numToRound;
return numToRound + multiple - remainder;
}
Edit: Here's a version that works with negative numbers, if by "up" you mean a result that's always >= the input.
int roundUp(int numToRound, int multiple)
{
if (multiple == 0)
return numToRound;
int remainder = abs(numToRound) % multiple;
if (remainder == 0)
return numToRound;
if (numToRound < 0)
return -(abs(numToRound) - remainder);
else
return numToRound + multiple - remainder;
}
Without conditions:
int roundUp(int numToRound, int multiple)
{
assert(multiple);
return ((numToRound + multiple - 1) / multiple) * multiple;
}
This works like rounding away from zero for negative numbers
Version that works also for negative numbers:
int roundUp(int numToRound, int multiple)
{
assert(multiple);
int isPositive = (int)(numToRound >= 0);
return ((numToRound + isPositive * (multiple - 1)) / multiple) * multiple;
}
Tests
If multiple is a power of 2 (faster in ~3.7 times)
int roundUp(int numToRound, int multiple)
{
assert(multiple && ((multiple & (multiple - 1)) == 0));
return (numToRound + multiple - 1) & -multiple;
}
Tests
This works when factor will always be positive:
int round_up(int num, int factor)
{
return num + factor - 1 - (num + factor - 1) % factor;
}
Edit: This returns round_up(0,100)=100. Please see Paul's comment below for a solution that returns round_up(0,100)=0.
This is a generalization of the problem of "how do I find out how many bytes n bits will take? (A: (n bits + 7) / 8).
int RoundUp(int n, int roundTo)
{
// fails on negative? What does that mean?
if (roundTo == 0) return 0;
return ((n + roundTo - 1) / roundTo) * roundTo; // edit - fixed error
}
int roundUp(int numToRound, int multiple)
{
if(multiple == 0)
{
return 0;
}
return ((numToRound - 1) / multiple + 1) * multiple;
}
And no need to mess around with conditions
This is the modern c++ approach using a template function which is working for float, double, long, int and short (but not for long long, and long double because of the used double values).
#include <cmath>
#include <iostream>
template<typename T>
T roundMultiple( T value, T multiple )
{
if (multiple == 0) return value;
return static_cast<T>(std::round(static_cast<double>(value)/static_cast<double>(multiple))*static_cast<double>(multiple));
}
int main()
{
std::cout << roundMultiple(39298.0, 100.0) << std::endl;
std::cout << roundMultiple(20930.0f, 1000.0f) << std::endl;
std::cout << roundMultiple(287399, 10) << std::endl;
}
But you can easily add support for long long and long double with template specialisation as shown below:
template<>
long double roundMultiple<long double>( long double value, long double multiple)
{
if (multiple == 0.0l) return value;
return std::round(value/multiple)*multiple;
}
template<>
long long roundMultiple<long long>( long long value, long long multiple)
{
if (multiple == 0.0l) return value;
return static_cast<long long>(std::round(static_cast<long double>(value)/static_cast<long double>(multiple))*static_cast<long double>(multiple));
}
To create functions to round up, use std::ceil and to always round down use std::floor. My example from above is rounding using std::round.
Create the "round up" or better known as "round ceiling" template function as shown below:
template<typename T>
T roundCeilMultiple( T value, T multiple )
{
if (multiple == 0) return value;
return static_cast<T>(std::ceil(static_cast<double>(value)/static_cast<double>(multiple))*static_cast<double>(multiple));
}
Create the "round down" or better known as "round floor" template function as shown below:
template<typename T>
T roundFloorMultiple( T value, T multiple )
{
if (multiple == 0) return value;
return static_cast<T>(std::floor(static_cast<double>(value)/static_cast<double>(multiple))*static_cast<double>(multiple));
}
For anyone looking for a short and sweet answer. This is what I used. No accounting for negatives.
n - (n % r)
That will return the previous factor.
(n + r) - (n % r)
Will return the next. Hope this helps someone. :)
float roundUp(float number, float fixedBase) {
if (fixedBase != 0 && number != 0) {
float sign = number > 0 ? 1 : -1;
number *= sign;
number /= fixedBase;
int fixedPoint = (int) ceil(number);
number = fixedPoint * fixedBase;
number *= sign;
}
return number;
}
This works for any float number or base (e.g. you can round -4 to the nearest 6.75). In essence it is converting to fixed point, rounding there, then converting back. It handles negatives by rounding AWAY from 0. It also handles a negative round to value by essentially turning the function into roundDown.
An int specific version looks like:
int roundUp(int number, int fixedBase) {
if (fixedBase != 0 && number != 0) {
int sign = number > 0 ? 1 : -1;
int baseSign = fixedBase > 0 ? 1 : 0;
number *= sign;
int fixedPoint = (number + baseSign * (fixedBase - 1)) / fixedBase;
number = fixedPoint * fixedBase;
number *= sign;
}
return number;
}
Which is more or less plinth's answer, with the added negative input support.
First off, your error condition (multiple == 0) should probably have a return value. What? I don't know. Maybe you want to throw an exception, that's up to you. But, returning nothing is dangerous.
Second, you should check that numToRound isn't already a multiple. Otherwise, when you add multiple to roundDown, you'll get the wrong answer.
Thirdly, your casts are wrong. You cast numToRound to an integer, but it's already an integer. You need to cast to to double before the division, and back to int after the multiplication.
Lastly, what do you want for negative numbers? Rounding "up" can mean rounding to zero (rounding in the same direction as positive numbers), or away from zero (a "larger" negative number). Or, maybe you don't care.
Here's a version with the first three fixes, but I don't deal with the negative issue:
int roundUp(int numToRound, int multiple)
{
if(multiple == 0)
{
return 0;
}
else if(numToRound % multiple == 0)
{
return numToRound
}
int roundDown = (int) (( (double) numToRound / multiple ) * multiple);
int roundUp = roundDown + multiple;
int roundCalc = roundUp;
return (roundCalc);
}
Round to Power of Two:
Just in case anyone needs a solution for positive numbers rounded to the nearest multiple of a power of two (because that's how I ended up here):
// number: the number to be rounded (ex: 5, 123, 98345, etc.)
// pow2: the power to be rounded to (ex: to round to 16, use '4')
int roundPow2 (int number, int pow2) {
pow2--; // because (2 exp x) == (1 << (x -1))
pow2 = 0x01 << pow2;
pow2--; // because for any
//
// (x = 2 exp x)
//
// subtracting one will
// yield a field of ones
// which we can use in a
// bitwise OR
number--; // yield a similar field for
// bitwise OR
number = number | pow2;
number++; // restore value by adding one back
return number;
}
The input number will stay the same if it is already a multiple.
Here is the x86_64 output that GCC gives with -O2 or -Os (9Sep2013 Build - godbolt GCC online):
roundPow2(int, int):
lea ecx, [rsi-1]
mov eax, 1
sub edi, 1
sal eax, cl
sub eax, 1
or eax, edi
add eax, 1
ret
Each C line of code corresponds perfectly with its line in the assembly: http://goo.gl/DZigfX
Each of those instructions are extremely fast, so the function is extremely fast too. Since the code is so small and quick, it might be useful to inline the function when using it.
Credit:
Algorithm: Hagen von Eitzen # Math.SE
Godbolt Interactive Compiler: #mattgodbolt/gcc-explorer on GitHub
I'm using:
template <class _Ty>
inline _Ty n_Align_Up(_Ty n_x, _Ty n_alignment)
{
assert(n_alignment > 0);
//n_x += (n_x >= 0)? n_alignment - 1 : 1 - n_alignment; // causes to round away from zero (greatest absolute value)
n_x += (n_x >= 0)? n_alignment - 1 : -1; // causes to round up (towards positive infinity)
//n_x += (_Ty(-(n_x >= 0)) & n_alignment) - 1; // the same as above, avoids branch and integer multiplication
//n_x += n_alignment - 1; // only works for positive numbers (fastest)
return n_x - n_x % n_alignment; // rounds negative towards zero
}
and for powers of two:
template <class _Ty>
bool b_Is_POT(_Ty n_x)
{
return !(n_x & (n_x - 1));
}
template <class _Ty>
inline _Ty n_Align_Up_POT(_Ty n_x, _Ty n_pot_alignment)
{
assert(n_pot_alignment > 0);
assert(b_Is_POT(n_pot_alignment)); // alignment must be power of two
-- n_pot_alignment;
return (n_x + n_pot_alignment) & ~n_pot_alignment; // rounds towards positive infinity (i.e. negative towards zero)
}
Note that both of those round negative values towards zero (that means round to positive infinity for all values), neither of them relies on signed overflow (which is undefined in C/C++).
This gives:
n_Align_Up(10, 100) = 100
n_Align_Up(110, 100) = 200
n_Align_Up(0, 100) = 0
n_Align_Up(-10, 100) = 0
n_Align_Up(-110, 100) = -100
n_Align_Up(-210, 100) = -200
n_Align_Up_POT(10, 128) = 128
n_Align_Up_POT(130, 128) = 256
n_Align_Up_POT(0, 128) = 0
n_Align_Up_POT(-10, 128) = 0
n_Align_Up_POT(-130, 128) = -128
n_Align_Up_POT(-260, 128) = -256
Round to nearest multiple that happens to be a power of 2
unsigned int round(unsigned int value, unsigned int multiple){
return ((value-1u) & ~(multiple-1u)) + multiple;
}
This can be useful for when allocating along cachelines, where the rounding increment you want is a power of two, but the resulting value only needs to be a multiple of it. On gcc the body of this function generates 8 assembly instructions with no division or branches.
round( 0, 16) -> 0
round( 1, 16) -> 16
round( 16, 16) -> 16
round(257, 128) -> 384 (128 * 3)
round(333, 2) -> 334
Probably safer to cast to floats and use ceil() - unless you know that the int division is going to produce the correct result.
int noOfMultiples = int((numToRound / multiple)+0.5);
return noOfMultiples*multiple
C++ rounds each number down,so if you add 0.5 (if its 1.5 it will be 2) but 1.49 will be 1.99 therefore 1.
EDIT - Sorry didn't see you wanted to round up, i would suggest using a ceil() method instead of the +0.5
well for one thing, since i dont really understand what you want to do, the lines
int roundUp = roundDown + multiple;
int roundCalc = roundUp;
return (roundCalc);
could definitely be shortened to
int roundUp = roundDown + multiple;
return roundUp;
may be this can help:
int RoundUpToNearestMultOfNumber(int val, int num)
{
assert(0 != num);
return (floor((val + num) / num) * num);
}
To always round up
int alwaysRoundUp(int n, int multiple)
{
if (n % multiple != 0) {
n = ((n + multiple) / multiple) * multiple;
// Another way
//n = n - n % multiple + multiple;
}
return n;
}
alwaysRoundUp(1, 10) -> 10
alwaysRoundUp(5, 10) -> 10
alwaysRoundUp(10, 10) -> 10
To always round down
int alwaysRoundDown(int n, int multiple)
{
n = (n / multiple) * multiple;
return n;
}
alwaysRoundDown(1, 10) -> 0
alwaysRoundDown(5, 10) -> 0
alwaysRoundDown(10, 10) -> 10
To round the normal way
int normalRound(int n, int multiple)
{
n = ((n + multiple/2)/multiple) * multiple;
return n;
}
normalRound(1, 10) -> 0
normalRound(5, 10) -> 10
normalRound(10, 10) -> 10
I found an algorithm which is somewhat similar to one posted above:
int[(|x|+n-1)/n]*[(nx)/|x|], where x is a user-input value and n is the multiple being used.
It works for all values x, where x is an integer (positive or negative, including zero). I wrote it specifically for a C++ program, but this can basically be implemented in any language.
For negative numToRound:
It should be really easy to do this but the standard modulo % operator doesn't handle negative numbers like one might expect. For instance -14 % 12 = -2 and not 10. First thing to do is to get modulo operator that never returns negative numbers. Then roundUp is really simple.
public static int mod(int x, int n)
{
return ((x % n) + n) % n;
}
public static int roundUp(int numToRound, int multiple)
{
return numRound + mod(-numToRound, multiple);
}
This is what I would do:
#include <cmath>
int roundUp(int numToRound, int multiple)
{
// if our number is zero, return immediately
if (numToRound == 0)
return multiple;
// if multiplier is zero, return immediately
if (multiple == 0)
return numToRound;
// how many times are number greater than multiple
float rounds = static_cast<float>(numToRound) / static_cast<float>(multiple);
// determine, whether if number is multiplier of multiple
int floorRounds = static_cast<int>(floor(rounds));
if (rounds - floorRounds > 0)
// multiple is not multiplier of number -> advance to the next multiplier
return (floorRounds+1) * multiple;
else
// multiple is multiplier of number -> return actual multiplier
return (floorRounds) * multiple;
}
The code might not be optimal, but I prefer clean code than dry performance.
int roundUp (int numToRound, int multiple)
{
return multiple * ((numToRound + multiple - 1) / multiple);
}
although:
won't work for negative numbers
won't work if numRound + multiple overflows
would suggest using unsigned integers instead, which has defined overflow behaviour.
You'll get an exception is multiple == 0, but it isn't a well-defined problem in that case anyway.
c:
int roundUp(int numToRound, int multiple)
{
return (multiple ? (((numToRound+multiple-1) / multiple) * multiple) : numToRound);
}
and for your ~/.bashrc:
roundup()
{
echo $(( ${2} ? ((${1}+${2}-1)/${2})*${2} : ${1} ))
}
I use a combination of modulus to nullify the addition of the remainder if x is already a multiple:
int round_up(int x, int div)
{
return x + (div - x % div) % div;
}
We find the inverse of the remainder then modulus that with the divisor again to nullify it if it is the divisor itself then add x.
round_up(19, 3) = 21
Here's my solution based on the OP's suggestion, and the examples given by everyone else. Since most everyone was looking for it to handle negative numbers, this solution does just that, without the use of any special functions, i.e. abs, and the like.
By avoiding the modulus and using division instead, the negative number is a natural result, although it's rounded down. After the rounded down version is calculated, then it does the required math to round up, either in the negative or positive direction.
Also note that no special functions are used to calculate anything, so there is a small speed boost there.
int RoundUp(int n, int multiple)
{
// prevent divide by 0 by returning n
if (multiple == 0) return n;
// calculate the rounded down version
int roundedDown = n / multiple * multiple;
// if the rounded version and original are the same, then return the original
if (roundedDown == n) return n;
// handle negative number and round up according to the sign
// NOTE: if n is < 0 then subtract the multiple, otherwise add it
return (n < 0) ? roundedDown - multiple : roundedDown + multiple;
}
I think this should help you. I have written the below program in C.
# include <stdio.h>
int main()
{
int i, j;
printf("\nEnter Two Integers i and j...");
scanf("%d %d", &i, &j);
int Round_Off=i+j-i%j;
printf("The Rounded Off Integer Is...%d\n", Round_Off);
return 0;
}
Endless possibilities, for signed integers only:
n + ((r - n) % r)
/// Rounding up 'n' to the nearest multiple of number 'b'.
/// - Not tested for negative numbers.
/// \see http://stackoverflow.com/questions/3407012/
#define roundUp(n,b) ( (b)==0 ? (n) : ( ((n)+(b)-1) - (((n)-1)%(b)) ) )
/// \c test->roundUp().
void test_roundUp() {
// yes_roundUp(n,b) ( (b)==0 ? (n) : ( (n)%(b)==0 ? n : (n)+(b)-(n)%(b) ) )
// yes_roundUp(n,b) ( (b)==0 ? (n) : ( ((n + b - 1) / b) * b ) )
// no_roundUp(n,b) ( (n)%(b)==0 ? n : (b)*( (n)/(b) )+(b) )
// no_roundUp(n,b) ( (n)+(b) - (n)%(b) )
if (true) // couldn't make it work without (?:)
{{ // test::roundUp()
unsigned m;
{ m = roundUp(17,8); } ++m;
assertTrue( 24 == roundUp(17,8) );
{ m = roundUp(24,8); }
assertTrue( 24 == roundUp(24,8) );
assertTrue( 24 == roundUp(24,4) );
assertTrue( 24 == roundUp(23,4) );
{ m = roundUp(23,4); }
assertTrue( 24 == roundUp(21,4) );
assertTrue( 20 == roundUp(20,4) );
assertTrue( 20 == roundUp(19,4) );
assertTrue( 20 == roundUp(18,4) );
assertTrue( 20 == roundUp(17,4) );
assertTrue( 17 == roundUp(17,0) );
assertTrue( 20 == roundUp(20,0) );
}}
}
This is getting the results you are seeking for positive integers:
#include <iostream>
using namespace std;
int roundUp(int numToRound, int multiple);
int main() {
cout << "answer is: " << roundUp(7, 100) << endl;
cout << "answer is: " << roundUp(117, 100) << endl;
cout << "answer is: " << roundUp(477, 100) << endl;
cout << "answer is: " << roundUp(1077, 100) << endl;
cout << "answer is: " << roundUp(52,20) << endl;
cout << "answer is: " << roundUp(74,30) << endl;
return 0;
}
int roundUp(int numToRound, int multiple) {
if (multiple == 0) {
return 0;
}
int result = (int) (numToRound / multiple) * multiple;
if (numToRound % multiple) {
result += multiple;
}
return result;
}
And here are the outputs:
answer is: 100
answer is: 200
answer is: 500
answer is: 1100
answer is: 60
answer is: 90
I think this works:
int roundUp(int numToRound, int multiple) {
return multiple? !(numToRound%multiple)? numToRound : ((numToRound/multiple)+1)*multiple: numToRound;
}
The accepted answer doesn't work very well, I thought I'd try my hand at this problem, this should round up all integers you throw at it:
int round_up(int input, unsigned int multiple) {
if (input < 0) { return input - input % multiple; }
return input + multiple - (((input - 1) % multiple) + 1);
}
If the number is negative it's easy, take the remainder and add it onto the input, that'll do the trick.
If the number is not negative, you have to subtract the remainder from the multiple and add that to round up. The problem with that is that if input is exactly on a multiple, it will still get rounded up to the next multiple because multiple - 0 = multiple.
To remedy this we do a cool little hack: subtract one from input before doing the remainder, then add it back on to the resulting remainder. This doesn't affect anything at all unless input is on a multiple. In that case, subtracting one will cause the remainder to the previous multiple to be calculated. After adding one again, you'll have exactly the multiple. Obviously subtracting this from itself yields 0, so your input value doesn't change.