move from, to, spare, count:
move from, spare, count-1
single_move from, to
move spare, to, count-1
Yes. It is possible to provide a solution to the diamond-square algorithm using Java and recursion.
/* tower of hanoi using recursion */ #include<stdio.h> int main(void) { unsigned int nvalue; char snvalue = 'L' , invalue = 'C' , dnvalue = 'R' ; void hanoi(unsigned int , char , char , char); printf(" enter number of disks : "); scanf("%u",&nvalue ); printf("\n\ntower of hanoi problem with %d disks \n ", nvalue )" hanoi(nvalue , snvalue , invalue , dnvalue ); printf("\n"); return 0 ; } void hanoi(unsigned n , char snd1 , char ind1 , char dnd1 ) { if(n!=0) { /* move n-1 disks from starting to intermadiate needles */ hanoi(n-1 , snd1 , dnd1 , ind1 ); /* move disk n from start to destination */ printf("move disk %d from %c to %c\n ", n , snd1 , dnd1); /* move n-1 disks from intermediate to destination needle */ hanoi(n-1 , ind1 , snd1 , dnd1 ); } }
You overcome limitations of the stack in polygon filling, or in any other algorithm, far that matter, but using an iterative technique, rather than a recursive technique. Recursion is quite useful, and can simplify algorithm design. Polygon filling, however, is a class of algorithm can potentially have a very deep recursion depth. This causes stress on the stack, hence the need for iteration.
stack abstract datatype
Sure, recursion can always be substituted with using a stack.
pata nhe
Ans: Merits of recursion are: Mathematical functions, such as Fibonacci series generation can be easily implemented using recursion as compared to iteration technique. Demerits of recursion are: Many programming languages do not support recursion; hence, recursive mathematical function is implemented using iterative methods. Even though mathematical functions can be easily implemented using recursion, it is always at the cost of execution time and memory space. The recursive programs take considerably more storage and take more time during processing.
123
Some problems cry out for recursion. For example, an algorithm might be defined recursively (e.g. the Fibonacci function). When an algorithm is given with a recursive definition, the recursive implementation is straight-forward. However, it can be shown that all recursive implementations have an iterative functional equivalent, and vice versa. Systems requiring maximum processing speed, or requiring execution within very limited resources (for example, limited stack depth), are generally better implemented using iteration.
// stack to contain content Stack sourceStack = new Stack(); // ... fill sourceStack with content // stack to contain reversed content Stack targetStack = new Stack(); while (!sourceStack.empty()) { targetStack.push(sourceStack.pop()); } // targetStack contains the reversed content of sourceStack
recu
Demerits of recursion are: Many programming languages do not support recursion; hence, recursive mathematical function is implemented using iterative methods. Even though mathematical functions can be easily implemented using recursion, it is always at the cost of execution time and memory space. The recursive programs take considerably more storage and take more time during processing.