will
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the template definition for hash_map is : template <
class Key,
class Value,
class HashKey = Self<Key>,
class EqualKey = EqualTo<Key>,
class LessKey = Less<Key>,
class Alloc = DefaultAllocator<Pair<const Key, Value>
for HashKey, that is for converting Key into bucket index. EqualKey is try to compare to key to check whether occur collision. But for LessKey I guess for some implementation such as Red-Black tree or AVL, it is useful.
the template definition for hash_map is : template <
class Key,
class Value,
class HashKey = Self<Key>,
class EqualKey = EqualTo<Key>,
class LessKey = Less<Key>,
class Alloc = DefaultAllocator<Pair<const Key, Value>
for HashKey, that is for converting Key into bucket index. EqualKey is try to compare to key to check whether occur collision. But for LessKey I guess for some implementation such as Red-Black tree or AVL, it is useful.
the template definition for hash_map is : template <
class Key,
class Value,
class HashKey = Self<Key>,
class EqualKey = EqualTo<Key>,
class LessKey = Less<Key>,
class Alloc = DefaultAllocator<Pair<const Key, Value>
for HashKey, that is for converting Key into bucket index. EqualKey is try to compare to key to check whether occur collision. But for LessKey I guess for some implementation such as Red-Black tree or AVL, it is useful.
the template definition for hash_map is : template <
class Key,
class Value,
class HashKey = Self<Key>,
class EqualKey = EqualTo<Key>,
class LessKey = Less<Key>,
class Alloc = DefaultAllocator<Pair<const Key, Value>
for HashKey, that is for converting Key into bucket index. EqualKey is try to compare to key to check whether occur collision. But for LessKey I guess for some implementation such as Red-Black tree or AVL, it is useful.
the template definition for hash_map is : template <
class Key,
class Value,
class HashKey = Self<Key>,
class EqualKey = EqualTo<Key>,
class LessKey = Less<Key>,
class Alloc = DefaultAllocator<Pair<const Key, Value>
for HashKey, that is for converting Key into bucket index. EqualKey is try to compare to key to check whether occur collision. But for LessKey I guess for some implementation such as Red-Black tree or AVL, it is useful.
the template definition for hash_map is : template <
class Key,
class Value,
class HashKey = Self<Key>,
class EqualKey = EqualTo<Key>,
class LessKey = Less<Key>,
class Alloc = DefaultAllocator<Pair<const Key, Value>
for HashKey, that is for converting Key into bucket index. EqualKey is try to compare to key to check whether occur collision. But for LessKey I guess for some implementation such as Red-Black tree or AVL, it is useful.
the template definition for hash_map is : template <
class Key,
class Value,
class HashKey = Self<Key>,
class EqualKey = EqualTo<Key>,
class LessKey = Less<Key>,
class Alloc = DefaultAllocator<Pair<const Key, Value>
for HashKey, that is for converting Key into bucket index. EqualKey is try to compare to key to check whether occur collision. But for LessKey I guess for some implementation such as Red-Black tree or AVL, it is useful.
I would think that HashTable is much easier to support concurrency in many readers but only one writer, because we could lock or no lock the key-value pair when insertion or update(lock-free means we can delay-delete the node).Also for BST, I also think it's ok for insertion or delete, but for Red-Black tree or AVL tree, it is another matter for the rotations.
- will April 02, 2013I think we can do it by using double linked-list, which is hold pointers pointing a fix-size of buffer. Insertion\Delete\Edit may have O(1) complexity(),also could add hash_map whose key is line number and value is pointers belong to the linked-list.
About search forward or backwards, firstly we must locate the current position and using KMP to finishing searching, and the complexcity is O(L*N), L is line size and N is charcter number average.
two solution, one is recuison 1) matrix block, the matrix can be divided into 4 block 2) from the left-down position, an example :
1 2 3 4
5 6 7 8
9 10 11 12 where k is 7.
9 > 7, so delete the last line, and go up, 5 < 7, the delete the first line, will find 6 .....matrix will be smaller and smaller, and finally get the destinetion
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- will April 05, 2013