Enumerating subsets requires that each element in the set be mapped to a bit value. Combining these bit values (with logical OR) gives you the subset. Each subset will then have a value in the range 0 to 7, giving 8 subsets in all: {}, {x}, {y}, {z}, {x, y}, {x, z}, {y, z}, {x, y, z}. However, you cannot simply count from 0 to 7 to enumerate these subsets because this is highly inefficient. In a set of 3 it's not a significant loss, but in a larger set the inefficiency is substantial. For instance, in a set of just 64 elements, you must count from 0 to 9,223,372,036,854,775,809 in order to enumerate the 64 subsets that have just one element. If that doesn't drive the point home, then nothing will.
In order to correctly enumerate subsets you must use the Banker's sequence. Each sequence varies depending upon how many elements are in the set, however the sequence allows you to quickly enumerate one set after another in a logical sequence. It also allows you to start from anywhere in the sequence and continue from that point on, thus making it possible to quickly enumerate all sets with a specific number of elements.
The following code is quite involved but includes several auxiliary functions that help speed up the main code at the bottom. Some examples are included to demonstrate different usages, including the enumeration of subsets of {x, y, z}, subsets of a set of 5 elements and subsets of a subset of a 9 element set. Note that the final example (all subsets of a 32 element set) is commented out because it will take a seriously long time to enumerate all the possible subsets. However, the code is flexible enough to allow you to narrow the search down to just those subsets with a specific number of elements.
Note that the two main functions to focus upon are the find_first_subset() and find_next_subset() functions. These two functions are the driving force behind the Banker's sequence.
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// Returns the count of set bits in the given subset.
// E.g., 01010010 returns 3.
unsigned int count_set_bits( register unsigned int subset )
{
// An alternative method is to logical AND the bitset with 0x1
// then right shift the bitset by 1 bit. That requires an average
// of 32 separate operations (worst case is 64). This method always
// uses 17, thus always returns in constant time. For unsigned
// short, eliminate the last shift. For char, eliminate the last
// two shifts.
subset -= (( subset >> 1 ) & 0x55555555 );
subset = ((( subset >> 2 ) & 0x33333333 ) + ( subset & 0x33333333 ));
subset = ((( subset >> 4 ) + subset ) & 0x0f0f0f0f );
subset += ( subset >> 8 );
subset += ( subset >> 16 );
return( subset & 0x0000003f );
}
// Returns all set bits from the given subset's MSB down.
// E.g., 00100010 returns 00111111.
// The inversion of the return value can be used to mask
// bits that are greater than the MSB in another subset.
unsigned int fill_down( register unsigned int subset )
{
subset |= ( subset >> 1 );
subset |= ( subset >> 2 );
subset |= ( subset >> 4 );
subset |= ( subset >> 8 );
subset |= ( subset >> 16 );
return( subset );
}
// Returns the least-significant set bit in the given subset.
// E.g., 00100110 returns 00000010.
unsigned int get_LSB( register unsigned int subset )
{
return( subset ^ ( subset & ( subset - 1 )));
}
// Returns the most-significant set bit in the given subset.
// E.g., 00100110 returns 00100000.
unsigned int get_MSB( register unsigned int subset )
{
subset = fill_down( subset );
return( subset & ~( subset >> 1 ));
}
// Returns the first subset of subset_count within the given set.
// The return value can be passed to get_next_subset().
unsigned int get_first_subset( const unsigned set, unsigned int subset_count )
{
// Initialise the subset.
unsigned int subset = 0;
// Check validity of parameters.
if( subset_count && subset_count <= count_set_bits( set ))
{
// Assign the least-significant bit of set to subset.
subset = get_LSB( set );
// Repeatedly eliminate the LSB from set and
// combine the next LSB to subset until we've
// filled the subset up to the required count.
while( --subset_count )
subset |= get_LSB( set & ~fill_down( subset ));
}
// The first subset is complete (or is 0).
return( subset );
}
// Returns the next subset of the given bitset that follows previous_subset.
// The return value can be passed back to this function to get the next subset.
unsigned int get_next_subset( const unsigned set, const unsigned previous_subset )
{
// Initialise the next subset.
unsigned int next_subset = 0;
// Check validity of parameters.
if( previous_subset )
{
// Locate the MSB from the previous_subset.
unsigned int bit = get_MSB( previous_subset );
// Eliminate the MSB from the next subset.
next_subset = previous_subset & ~bit;
// Locate the next available bit in the set, if any.
if( bit = get_LSB( set & ~fill_down( bit )))
// The next subset is complete.
next_subset |= bit;
// Make recursive call using the set without its MSB
// Note: the subset we pass has already already been reduced.
else if( next_subset = get_next_subset( set & ~get_MSB( set ), next_subset ))
// Locate the next available bit in the original set
// At least one bit is guaranteed to exist: the MSB
// we eliminated from the recursive call.
next_subset |= get_LSB( set & ~fill_down( next_subset ));
}
return( next_subset );
}
// Prints the subset (only prints the least-significant count of bits).
void print_subset( unsigned int subset, unsigned int bits )
{
const unsigned int max_bits = 32;
if( bits > max_bits )
return;
unsigned int i = 0;
// Skip any redundant bits...
for( ; i // Begin printing. for( ; i std::cout << (( subset & 0x80000000 ) ? "1" : "0" ); std::cout << std::endl; } // Enumerate all subsets of set (only the least-significant count of bits), void enumerate_subsets( unsigned int set, unsigned int bits ) { std::cout << "From the set of:" << std::endl; print_subset( set, bits ); for( unsigned int subset_count = 0; subset_count <= count_set_bits( set ); ++subset_count ) { std::cout << "Subsets of " << subset_count << ":" << std::endl; unsigned int subset = get_first_subset( set, subset_count ); do print_subset( subset, bits ); while( subset = get_next_subset( set, subset )); } } // Enumerate all subsets of the set {x, y, z} void enumerate_subsets_xyz( void ) { unsigned int set = 1 | 2 | 4; // {x=1, y=2, z=4} unsigned int bits = 3; std::cout << "From the set of:\n{xyz}" << std::endl; for( unsigned int subset_count = 0; subset_count <= count_set_bits( set ); ++subset_count ) { std::cout << "Subsets of " << subset_count << ":" << std::endl; unsigned int subset = get_first_subset( set, subset_count ); do{ std::cout << "{"; if( subset & 1 ) std::cout << "x"; if( subset & 2 ) std::cout << "y"; if( subset & 4 ) std::cout << "z"; std::cout << "}" << std::endl; }while( subset = get_next_subset( set, subset )); } } // Test functions. int main() { // Enumerate all subsets of the set {x, y, z} (3 bits) enumerate_subsets_xyz(); std::cout << std::endl; // Enumerate all subsets of the set 11111 (5 bits) enumerate_subsets( 0x1f, 5 ); std::cout << std::endl; // Enumerate subsets of the subset 101010101 (9 bits total but only 5 selected) enumerate_subsets( 0x155, 9 ); std::cout << std::endl; //// Just for the hell of it, let's enumerate all possible sets for all 32 bits. //enumerate_subsets( 0xffffffff, 32 ); //std::cout << std::endl; return( 0 ); }
Adding printers is a function of the operating system. The operating system should also provide facilities that allow you to enumerate all printers registered with the operating system.
The listing method involves systematically enumerating all possible solutions or outcomes to a problem. Examples include creating a list of all possible combinations of a set of items, such as listing all permutations of the letters in a word, or generating all subsets of a given set. This technique is often used in combinatorics, probability, and algorithms to ensure that no possibilities are overlooked. Additionally, it can be employed in problem-solving scenarios, such as generating a list of potential solutions to a mathematical equation.
yes it is possible to make a private class in C++ but this class will not solve any purpose.................
map.clear()
In C++ all false relational expressions have a mathematical value of 0.
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Possible subsets of a set are all the combinations of its elements, including the empty set and the set itself. If a set has ( n ) elements, it has ( 2^n ) subsets. For example, a set with three elements, such as {A, B, C}, has eight subsets: {}, {A}, {B}, {C}, {A, B}, {A, C}, {B, C}, and {A, B, C}.
There are infiitelt many subsets of irrational numbers. One possible subset is the set of all positive irrational numbers.
It is the set of all the things you are dealing with or considering. For example, if I am looking at subsets that are even integers and I am looking at all integers, then the set of all integers is the universal set. If we are looking at hair color, some subsets are redheads, blondes etc. The universal sets is the set of all possible hair colors.
The subsets of the set {1, 2, 3, 4, 5, 6} include all possible combinations of its elements, including the empty set. There are a total of (2^6 = 64) subsets, which range from the empty set to the full set itself. Some examples of subsets are {1}, {2, 3}, {4, 5, 6}, and {1, 2, 3, 4, 5, 6}. Each subset can vary in size from 0 to 6 elements.
The set {A, B, C} has 3 elements. The total number of subsets of a set with n elements is given by the formula 2^n. Therefore, for the set {A, B, C}, the total number of subsets is 2^3, which equals 8. This includes the empty set and all possible combinations of the elements.
Integers, rationals. Also all subsets of these sets eg all even numbers, all integers divided by 3.
The subsets of the set {1, 2, 3, 4, 5, 6, 7} include all possible combinations of its elements, including the empty set and the set itself. In total, there are (2^n) subsets, where (n) is the number of elements in the set. For the set {1, 2, 3, 4, 5, 6, 7}, which has 7 elements, there are (2^7 = 128) subsets. These subsets range from the empty set {} to the full set {1, 2, 3, 4, 5, 6, 7}.
The number of subsets that can be formed from a set with ( n ) elements is given by ( 2^n ). This includes all possible combinations of the elements, ranging from the empty set to the set itself. For example, a set with 3 elements has ( 2^3 = 8 ) subsets.
They are collections of some, or all, of the elements of the set. A set with n elements will have 2^n subsets.
Adding printers is a function of the operating system. The operating system should also provide facilities that allow you to enumerate all printers registered with the operating system.
Partitioning is dividing a set of things into subsets such that the union of all the subsets is the original set and the intersection of any two subsets is the null set. That is, between them, the subsets account for the whole of the original set and there are no elements in more than one subset.