I have an array of values e.g. 1, 4, 7, 2.
I also have another array of values and I want to add its values to this first array, but only when they all are different from all values that are already in this array. How can I check it? I've tried many types of loops, but I always ended with an iteration problem.
Could you please tell me how to solve this problem? I code in c++.
int array1[7] = {2,3,7,1,0};
int val1 = rand() % 10;
int val2 = rand() % 10;
int array2[2] = {val1, val2};
and I am trying to put every value from array2 into array1. I tried loop
for (int x:array2)
{
while((val1 && val2) == x)
{
val1 = rand() % 10;
val2 = rand() % 10;
}
}
and many more, but still cannot figure it out. I have this problem because I may have various number of elements for array2. So it makes this "&&" solution infinite.
It is just a sample to show it more clearly, my code has much more lines.
Okay, you have a few problems here. If I understand the problem, here's what you want:
A. You have array1 already populated with several values but with space at the end.
1. How do you identify the number of entries in the array already versus the extras?
B. You have a second array you made from two random values. No problem.
You want to append the values from B to A.
2. If initial length of A plus initial length of B is greater than total space allocated for A, you have a new problem.
Now, other people will tell you to use the standard template library, but if you're having problems at this level, you should know how to do this yourself without the extra help from a confusing library. So this is one solution.
class MyArray {
public:
int * data;
int count;
int allocated;
MyArray() : data(nullptr), count(0), allocated(0) {}
~MyArray() { if (data != nullptr) free(data); }
// Appends value to the list, making more space if necessary
void add(int value) {
if (count >= allocated) {
// Not enough space, so make some.
allocated += 10;
data = (data == nullptr) malloc(allocated * sizeof(int))
: realloc)data, allocated * sizeof(int));
}
data[count++] = value;
}
// Adds value only if not already present.
void addUnique(int value) {
if (indexOf(value) < 0) {
add(value);
}
}
// Returns the index of the value, if found, else -1
int indexOf(int value) {
for (int index = 0; index < count; ++index) {
if (data[index] == value) {
return index;
}
}
return -1;
}
}
This class provides you a dynamic array of integers. It's REALLY basic, but it teaches you the basics. It helps you understand about allocation / reallocating space using old-style C-style malloc/realloc/free. It's the sort of code I was writing back in the 80s.
Now, your main code:
MyArray array;
array.add(2);
array.add(3);
array.add(7);
// etc. Yes, you could write a better initializer, but this is easy to understand
MyArray newValues;
newValues.add(rand() % 10);
newValues.add(rand() % 10);
for (int index = 0; index < newValues.count; ++index) {
array.addUnique(newValues.data[index]);
}
Done.
The key part of this is the addUnique function, which simply checks first whether the value you're adding already is in the array. If not, it appends the value to the array and keeps track of the new count.
Ultimately, when using integer arrays like this instead of the fancier classes available in C++, you HAVE TO keep track of the size of the array yourself. There is no magic .length method on int[]. You can use some magic value that indicates the end of the list, if you want. Or you can do what I did and keep two values, one that holds the current length and one that holds the amount of space you've allocated.
With programming, there are always multiple ways to do this.
Now, this is a lot of code. Using standard libraries, you can reduce all of this to about 4 or 5 lines of code. But you're not ready for that, and you need to understand what's going on under the hood. Don't use the fancy libraries until you can do it manually. That's my belief.
Related
The two structures used in my code, one is nested
struct Class
{
std::string name;
int units;
char grade;
};
struct Student
{
std::string name;
int id;
int num;
double gpa;
Class classes[20];
};
I am trying to figure out a way to sort the structures within the all_students[100] array in order of their ID's in ascending order. My thought was, to start counting at position 1 and then compare that to the previous element. If it was smaller than the previous element then I would have a temporary array of type Student to equate it to, then it would be a simple matter of switching them places within the all_students array. However, when I print the results, one of the elements ends up being garbage numbers, and not in order. This is for an intermediate C++ class in University and we are not allowed to use pointers or vectors since he has not taught us this yet. Anything not clear feel free to ask me.
The function to sort the structures based on ID
void sort_id(Student all_students[100], const int SIZE)
{
Student temporary[1];
int counter = 1;
while (counter < SIZE + 1)
{
if (all_students[counter].id < all_students[counter - 1].id)
{
temporary[0] = all_students[counter];
all_students[counter] = all_students[counter - 1];
all_students[counter - 1] = temporary[0];
counter = 1;
}
counter++;
}
display(all_students, SIZE);
}
There are a few things wrong with your code:
You don't need to create an array of size 1 to use as a temporary variable.
Your counter will range from 1 to 100, you will go out of bounds: the indices of an array of size 100 range from 0 to 99.
The following solution uses insertion sort to sort the array of students, it provides a faster alternative to your sorting algorithm. Note that insertion sort is only good for sufficiently small or nearly sorted arrays.
void sort_id(Student* all_students, int size)
{
Student temporary;
int i = 1;
while(i < size) // Read my note below.
{
temporary = all_students[i];
int j = i - 1;
while(j >= 0 && temporary.id < all_students[j].id)
{
all_students[j+1] = all_students[j]
j--;
}
all_students[j+1] = temporary;
i++;
}
display(all_students, size);
}
Note: the outer while-loop can also be done with a for-loop like this:
for(int i = 1; i < size; i++)
{
// rest of the code ...
}
Usually, a for-loop is used when you know beforehand how many iterations will be done. In this case, we know the outer loop will iterate from 0 to size - 1. The inner loop is a while-loop because we don't know when it will stop.
Your array of Students ranges from 0, 99. Counter is allowed to go from 1 to 100.
I'm assuming SIZE is 100 (in which case, you probably should have the array count also be SIZE instead of hard-coding in 100, if that wasn't just an artifact of typing the example for us).
You can do the while loop either way, either
while(counter < SIZE)
and start counter on 0, or
while (counter < SIZE+1)
and start counter on 1, but if you do the latter, you need to subtract 1 from your array subscripts. I believe that's why the norm (based on my observations) is to start at 0.
EDIT: I wasn't the downvoter! Also, just another quick comment, there's really no reason to have your temporary be an array. Just have
Student temporary;
I overlooked the fact that I was allowing the loop to access one more element than the array actually held. That's why I was getting garbage because the loop was accessing data that didn't exist.
I fixed this by changing while (counter < SIZE + 1)
to: while (counter < SIZE )
Then to fix the second problem which was about sorting, I needed to make sure that the loop started again from the beginning after a switch, in case it needed to switch again with a lower element. So I wrote continue; after counter = 1
I am trying to insert data into a leaf node (an array) of a B-Tree. Here is the code I have so far:
void LeafNode::insertCorrectPosLeaf(int num)
{
for (int pos=count; pos>=0; pos--) // goes through values in leaf node
{
if (num < values[pos-1]) // if inserting num < previous value in leaf node
{continue;} // conitnue searching for correct place
else // if inserting num >= previous value in leaf node
{
values[pos] = num; // inserts in position
break;
}
}
count++;
} // insertCorrectPos()
Before the line values[pos] = num, I think need to write some code that shifts the existing data instead of overwriting it. I am trying to use memmove but have a question about it. Its third parameter is the number of bytes to copy. If I am moving a single int on a 64 bit machine, does this mean I would put a "4" here? If I am going about this completely wrong any any help would be greatly appreciated. Thanks
The easiest way (and probably the most efficient) would be to use one of the standard libraries predefined structures to implement "values". I suggest either list or vector. This is because both list and vector has an insert function that does it for you. I suggest the vector class specifically is because it has the same kind of interface that an array has. However, if you want to optimize for speed of this action specifically, then I would suggest the list class because of the way it is implemented.
If you would rather to it the hard way, then here goes...
First, you need to make sure that you have the space to work in. You can either allocate dynamically:
int *values = new int[size];
or statically
int values[MAX_SIZE];
If you allocate statically, then you need to make sure that MAX_SIZE is some gigantic value that you will never ever exceed. Furthermore, you need to check the actual size of the array against the amount of allocated space every time you add an element.
if (size < MAX_SIZE-1)
{
// add an element
size++;
}
If you allocate dynamically, then you need to reallocate the whole array every time you add an element.
int *temp = new int[size+1];
for (int i = 0; i < size; i++)
temp[i] = values[i];
delete [] values;
values = temp;
temp = NULL;
// add the element
size++;
When you insert a new value, you need to shift every value over.
int temp = 0;
for (i = 0; i < size+1; i++)
{
if (values[i] > num || i == size)
{
temp = values[i];
values[i] = num;
num = temp;
}
}
Keep in mind that this is not at all optimized. A truly magical implementation would combine the two allocation strategies by dynamically allocating more space than you need, then growing the array by blocks when you run out of space. This is exactly what the vector implementation does.
The list implementation uses a linked list which has O(1) time for inserting a value because of it's structure. However, it is much less space inefficient and has O(n) time for accessing an element at location n.
Also, this code was written on the fly... be careful when using it. There might be a weird edge case that I am missing in the last code segment.
Cheers!
Ned
I am trying to make a function that can return the prime factors of a given number in an array (or multi-set, but I'm trying to use an array).
For example, if I put in 12, I want to get 2, 2, and 3, not 2, and 3 like with a set. This is so that I can use these to see if it is a Smith number or not, so I need the numbers seperately.
Also, I am taking a recursive approach.
I have tried (to no avail) to return the array many ways, including passing an initial pointer into the code which points to a space to store the array.
I've tried just initializing the array in the function and then returning it.
From what I can tell, I can get the array back from the base case iteration and then when trying to construct a new array with size oldArray+1 to copy values to, things get messy. This is where I get lost.
From what I've read, although this isn't the most efficient implementation, I should be able to make it work.
I have a function, nextPrime(int n), which given n will give back the next prime up from that number.
See source below:
int* find(int n, int p) {
int root = (int) floor(sqrt(n));
if (p > root) {
// Base case, array gets initialized and returned
// depending on value of n and p.
if (n > 1) {
factors = new int[1];
factors[0] = n;
return factors;
}
else {
factors = new int[0];
return factors;
}
}
else
if (n%p == 0){
// Inductive step if p is a factor
int newFloor = (int) floor(n/p);
factors = find(newFloor, p);
// Initialize new array.
int* newFactors;
newFactors = new int[(sizeof(factors) / sizeof(int)) + 1];
// Add p to first slot, fill rest with contents of factors.
factors[0] = p;
for (int i = 0; i < (sizeof(factors) / sizeof(int)); i++) {
newFactors[i+1] = factors[i];
}
return newFactors;
}
else {
// Inductive step p isn't a factor of n
factors = find(n, factors, nextPrime(p));
return factors;
}
}
As I say, the error is with returning the array and using its value, but why does it seem to return OK from the first iteration?
Something like this could work. Not terribly efficient !!
void FindFactors( int number , std::vector<int>& factors )
{
for ( int i = 2; i <= number; ++i )
{
if ( number % i == 0 )
{
factors.push_back( i );
FindFactors( number / i , factors);
break;
}
}
}
int main()
{
std::vector<int> factors;
FindFactors( 121 , factors );
return 0;
}
After you call the function factors will contain only the prime factors.
You should be using std::vector for this. The main problem you have is that a pointer to an array has no way of knowing the number of items the array contains. Concretely, the part where you say sizeof(factors) is wrong. As I understand, you're expecting that to give you the number of items in the array pointed to by factors, but it really gives you the number of bytes needed to store a pointer to int.
You should be either returning a vector<int> or passing it in as a reference and updating it each time you find a factor.
I've developed a method called "rotate" to my stack object class. What I did was that if the stack contains elements: {0,2,3,4,5,6,7} I would needed to rotate the elements forwards and backwards.
Where if i need to rotate forwards by 2 elements, then we would have, {3,4,5,6,7,0,2} in the array. And if I need to rotate backwards, or -3 elements, then, looking at the original array it would be, {5,6,7,0,2,3,4}
So the method that I have developed works fine. Its just terribly ineffecient IMO. I was wondering if I could wrap the array around by using the mod operator? Or if their is useless code hangin' around that I havent realized yet, and so on.
I guess my question is, How can i simplify this method? e.g. using less code. :-)
void stack::rotate(int r)
{
int i = 0;
while ( r > 0 ) // rotate postively.
{
front.n = items[top+1].n;
for ( int j = 0; j < bottom; j++ )
{
items[j] = items[j+1];
}
items[count-1].n = front.n;
r--;
}
while ( r < 0 ) // rotate negatively.
{
if ( i == top+1 )
{
front.n = items[top+1].n;
items[top+1].n = items[count-1].n; // switch last with first
}
back.n = items[++i].n; // second element is the new back
items[i].n = front.n;
if ( i == bottom )
{
items[count-1].n = front.n; // last is first
i = 0;
r++;
continue;
}
else
{
front.n = items[++i].n;
items[i].n = back.n;
if ( i == bottom )
{
i = 0;
r++;
continue;
}
}
}
}
Instead of moving all the items in your stack, you could change the definition of 'beginning'. Have an index that represents the first item in the stack, 0 at the start, which you add to and subtract from using modular arithmetic whenever you want to rotate your stack.
Note that if you take this approach you shouldn't give users of your class access to the underlying array (not that you really should anyway...).
Well, as this is an abstraction around an array, you can store the "zero" index as a member of the abstraction, and index into the array based on this abstract notion of the first element. Roughly...
class WrappedArray
{
int length;
int first;
T *array;
T get(int index)
{
return array[(first + index) % length];
}
int rotateForwards()
{
first++;
if (first == length)
first = 0;
}
}
You've gotten a couple of reasonable answers, already, but perhaps one more won't hurt. My first reaction would be to make your stack a wrapper around an std::deque, in which case moving an element from one end to the other is cheap (O(1)).
What you are after here is a circular list.
If you insist on storing items in an array just use top offset and size for access. This approach makes inserting elements after you reached allocated size expensive though (re-allocation, copying). This can be solved by using doubly-linked list (ala std::list) and an iterator, but arbitrary access into the stack will be O(n).
The function rotate below is based on reminders (do you mean this under the 'mod' operation?)
It is also quite efficient.
// Helper function.
// Finds GCD.
// See http://en.wikipedia.org/wiki/Euclidean_algorithm#Implementations
int gcd(int a, int b) {return b == 0 ? a : gcd(b, a % b);}
// Number of assignments of elements in algo is
// equal to (items.size() + gcd(items.size(),r)).
void rotate(std::vector<int>& items, int r) {
int size = (int)items.size();
if (size <= 1) return; // nothing to do
r = (r % size + size) % size; // fits r into [0..size)
int num_cycles = gcd(size, r);
for (int first_index = 0; first_index < num_cycles; ++first_index) {
int mem = items[first_index]; // assignment of items elements
int index = (first_index + r) % size, index_prev = first_index;
while (index != first_index) {
items[index_prev] = items[index]; // assignment of items elements
index_prev = index;
index = (index + r) % size;
};
items[index_prev] = mem; // assignment of items elements
}
}
Of course if it is appropriate for you to change data structure as described in other answers, you can obtain more efficient solution.
And now, the usual "it's already in Boost" answer: There is a Boost.CircularBuffer
If for some reason you'd prefer to perform actual physical rotation of array elements, you might find several alternative solutions in "Programming Pearls" by Jon Bentley (Column 2, 2.3 The Power of Primitives). Actually a Web search for Rotating Algorithms 'Programming Pearls' will tell you everything. The literal approach you are using now has very little practical value.
If you'd prefer to try to solve it yourself, it might help to try looking at the problem differently. You see, "rotating an array" is really the same thing as "swapping two unequal parts of an array". Thinking about this problem in the latter terms might lead you to new solutions :)
For example,
Reversal Approach. Reverse the order of the elements in the entire array. Then reverse the two parts independently. You are done.
For example, let's say we want to rotate abcdefg right by 2
abcdefg -> reverse the whole -> gfedcba -> reverse the two parts -> fgabcde
P.S. Slides for that chapter of "Programming Pearls". Note that in Bentley's experiments the above algorithm proves to be quite efficient (among the three tested).
I don't understand what the variables front and back mean, and why you need .n. Anyway, this is the shortest code I know to rotate the elements of an array, which can also be found in Bentley's book.
#include <algorithm>
std::reverse(array , array + r );
std::reverse(array + r, array + size);
std::reverse(array , array + size);
I thought i'd post a little of my homework assignment. Im so lost in it. I just have to be really efficient. Without using any stls, boosts and the like. By this post, I was hoping that someone could help me figure it out.
bool stack::pushFront(const int nPushFront)
{
if ( count == maxSize ) // indicates a full array
{
return false;
}
else if ( count <= 0 )
{
count++;
items[top+1].n = nPushFront;
return true;
}
++count;
for ( int i = 0; i < count - 1; i++ )
{
intBackPtr = intFrontPtr;
intBackPtr++;
*intBackPtr = *intFrontPtr;
}
items[top+1].n = nPushFront;
return true;
}
I just cannot figure out for the life of me to do this correctly! I hope im doing this right, what with the pointers and all
int *intFrontPtr = &items[0].n;
int *intBackPtr = &items[capacity-1].n;
Im trying to think of this pushFront method like shifting an array to the right by 'n' units...I can only seem to do that in an array that is full. Can someone out their please help me?
Firstly, I'm not sure why you have the line else if ( count <= 0 ) - the count of items in your stack should never be below 0.
Usually, you would implement a stack not by pushing to the front, but pushing and popping from the back. So rather than moving everything along, as it looks like you're doing, just store a pointer to where the last element is, and insert just after that, and pop from there. When you push, just increment that pointer, and when you pop, decrement it (you don't even have to delete it). If that pointer is at the end of your array, you're full (so you don't even have to store a count value). And if it's at the start, then it's empty.
Edit
If you're after a queue, look into Circular Queues. That's typically how you'd implement one in an array. Alternatively, rather than using an array, try a Linked List - that lets it be arbitrarily big (the only limit is your computer's memory).
You don't need any pointers to shift an array. Just use simple for statement:
int *a; // Your array
int count; // Elements count in array
int length; // Length of array (maxSize)
bool pushFront(const int nPushFront)
{
if (count == length) return false;
for (int i = count - 1; i >= 0; --i)
Swap(a[i], a[i + 1]);
a[0] = nPushFront; ++count;
return true;
}
Without doing your homework for you let me see if I can give you some hints. Implementing a deque (double ended queue) is really quite easy if you can get your head around a few concepts.
Firstly, it is key to note that since we will be popping off the front and/or back in order to efficiently code an algorithm which uses contiguous storage we need to be able to pop front/back without shifting the entire array (what you currently do). A much better and in my mind simpler way is to track the front AND the back of the relevant data within your deque.
As a simple example of the above concept consider a static (cannot grow) deque of size 10:
class Deque
{
public:
Deque()
: front(0)
, count(0) {}
private:
size_t front;
size_t count;
enum {
MAXSIZE = 10
};
int data[MAXSIZE];
};
You can of course implement this and allow it to grow in size etc. But for simplicity I'm leaving all that out. Now to allow a user to add to the deque:
void Deque::push_back(int value)
{
if(count>=MAXSIZE)
throw std::runtime_error("Deque full!");
data[(front+count)%MAXSIZE] = value;
count++;
}
And to pop off the back:
int Deque::pop_back()
{
if(count==0)
throw std::runtime_error("Deque empty! Cannot pop!");
int value = data[(front+(--count))%MAXSIZE];
return value;
}
Now the key thing to observe in the above functions is how we are accessing the data within the array. By modding with MAXSIZE we ensure that we are not accessing out of bounds, and that we are hitting the right value. Also as the value of front changes (due to push_front, pop_front) the modulus operator ensures that wrap around is dealt with appropriately. I'll show you how to do push_front, you can figure out pop_front for yourself:
void Deque::push_front(int value)
{
if(count>=MAXSIZE)
throw std::runtime_error("Deque full!");
// Determine where front should now be.
if (front==0)
front = MAXSIZE-1;
else
--front;
data[front] = value;
++count;
}