a binary is given with sequential storage ,write a algorithm n program to copy the binary tree into linkedlist
463630
I think you're trying to do it the hard way...how about simply traversing the binary tree sequentially and adding each node to the linked list.  \n\nThe binary tree will not readily have a sequential read capability so you need to know the range and smallest increment of the elements.  This one, however, is stated to have "Sequential storage."\n\nThe linked-list will already have an insert-into-list method or it couldn't be a linked list from a working list class.\n\n\nyour algorhithm will have a loop starting with an enf of file check against the binary read and use the insert method of the linked-list until EOF...that's all.  A single loop with a binary read, a write and a check for EOF::\n\npseudocode:\nbinary::readfirst\ndo until eof\n  link::insert\n  binary::readnext\nend do\n\nwasn't that simple?
137543
If we don't plan on modifying a search tree, and we know exactly how often each item will be accessed, we can construct an optimal binary search tree, which is a search tree where the average cost of looking up an item (the expected search cost) is minimized.\n\nAssume that we know the elements and that for each element, we know the proportion of future lookups which will be looking for that element. We can then use a dynamic programming solution, detailed in section 15.5 of Introduction to Algorithms, to construct the tree with the least possible expected search cost.\n\nEven if we only have estimates of the search costs, such a system can considerably speed up lookups on average. For example, if you have a BST of English words used in a spell checker, you might balance the tree based on word frequency in text corpuses, placing words like "the" near the root and words like "agerasia" near the leaves. Such a tree might be compared with Huffman trees, which similarly seek to place frequently-used items near the root in order to produce a dense information encoding; however, Huffman trees only store data elements in leaves.
1108238
I can provide you complete programs of data structures (linked list, array handling, stacks, queues, tress, graphs, and other algorithms). for this you have to provide me your information and details for what purpose you have to use this? and what your are doing currently. you can communicate me on my email address. abhi_patni@yahoo.com.
898314
Here are some general data structures:\n\n- Set\n- List\n- Map\n- Tree\n- Table\n- Stack\n- Queue
1155261
You can do Binary Searching in two ways \n\n1. Using loops.\n2.Using recurssion.\n\nWhat even,Lets now discuss how it works.\n\nIt works only in a sorted array or in a sorted sequence.\n\nWe are now going to divide the array into two parts using a median or a middle value.Before starting we should need to have a lower bound and an upper bound.\n\nIn starting the lower bound value would be zero and the upper bound value should be no . of elements in the array.\nmedian is always (lowerbound+upperbound)/2\n\n\n\nLet us set the 'median' as mid and the number you want to search as 'num'\n\nAt the first step check mid=num\nIf so the value is found\n\nelse\n\ncheck num<mid\nIf num<mid\nset upperbound = mid\nand find new mid as\n(lowerbound+upperbound)/2\n\nElse if,\nnum> mid\nset lower bound=mid\nand find the new mid value,\nas \nmid=(lowerbound+upperbound)/2\n\n\nAnd contine the process until the value is found or the lowerbound=upperbound(Means no element in the array)\n\n\nI have shown only the concept.\nYou can do it by using loops,Or by using recurrsion.You can use Divide and Conqure method too(recursive  method).
881644
Something like this:\n\nint **myArray;\nint s1,s2,i;\n\nprintf("Input row size: ");\nscanf("%d",&s1);\nprintf("Input column size: ");\nscanf("%d",&s2);\n\nmyArray[0] = malloc(s1*s2*sizeof(int));\nif (myArray[0] != NULL ) {\n  for (i = 0;i<s1,i++) {\n         myArray[i] = (i * s2) + myArray[0];\n  }\n}\n\nmyArray can then be used as normal\n\nmyArray[2][4] = 20;
269590
Use a decompiler such as Reverse Engineering Compiler. \n\nhttp://www.backerstreet.com/rec/rec.htm
267921
You can turn these into proper C++ statements:\n\nread a, b\n\nlet max = a\n\nif max < b\n  let max = b\nendif\n\nprint max\n\nThis program assumes that a <> b.
100511
Depends on what you used to create the bin file with - it will need linkage to the appropriate libraries.
980139
the way you store ur data.e.g. array,list,tree,queue
487486
#define QUEUE_EMPTY 2\n\n#define TRUE_EMPTY1\n#defineFALSE_EMPTY0\n\ntypedef struct node\n{\nint data;\nstruct node *link;\n} Queue;\n\n\nintDequeue(Queue **front, Queue **rear);\nintEmptyQueue(Queue **q);\n\nint Dequeue (Queue **front, Queue **rear)\n{\nint data;\n\nif (EmptyQueue (front))\n{\nprintf ("Queue Empty!&#92;n");\nexit (QUEUE_EMPTY);\n}\n\ndata = (*front)->data;\nif ((*front)->link == NULL)\n*front = *rear = NULL;\nelse\n*front = (*front)->link;\n\nreturn data;\n\n}\n\nint EmptyQueue (Queue **q)\n{\nif (*q == NULL)\nreturn TRUE_EMPTY;\n\nreturn FALSE_EMPTY;\n}
988619
A radix tree, Patricia trie/tree, or crit bit tree is a specialized set data structure based on the trie that is used to store a set of strings. These can be strings of characters, bit strings such as integers or IP addresses, or generally arbitrary sequences of objects ordered using lexicographical order. Sometimes the names radix tree and crit bit tree are only applied to trees storing integers and Patricia trie is retained for more general inputs, but the structure works the same in all cases.
998120
If the Java object is of a class that implements Serializable then you can create a byte array output stream and serialize the object to that, then store the byte array as the blob.  There is a code example of creating the byte[] at:\n\nhttp://forum.java.sun.com/thread.jspa?threadID=566550&start=15
454838
For existing programs that do this, see PSLIST and ProcessExplorer.  \n\nTo write your own in C++, see this great Code Project article by Ahmed Yassin: http://www.codeproject.com/threads/Tasks.asp\n\nA comment at the end of the article mentions 3 other ways to do it as well:\n\n1. ToolHelp \n2. PSAPI\n3. Read Registry (check platform SDK sample PView)\n4. some function exported by ntdll.dll \n\nAlso see the MSDN help on the functions used in Ahmed's article.\n\nGood luck!
1116199
the only time you would need Trees is if your a programer then you would you use tree methods
740430
You are you using a a pointer and an array while passing a variable to a function called Point. I'm not quite sure what you are trying to point to, but you are copying the heap.
195503
There is no structure in Java.\n\nProbably you are confusing with C++>