Примери за използване на Hash table на Английски и техните преводи на Български
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Create a hash table with keys- the words from words.
It has properties of both databases and distributed hash tables(DHTs).
Magma uses distributed hash table philosophy to store files and….
The book also covers important topics like recursive algorithms, trees,graphs and hash tables.
Primes are also used for hash tables and pseudorandom number generators.
You will see the most widely used data structures such as arrays,trees, hash tables and graphs.
As we will see in the chapter about hash tables, the opposite is not necessary at all.
Use a hash table(Dictionary) which keeps how many times each word occurs in the input string.
Prime numbers are also used in computing for checksums, hash tables, and pseudorandom number generators.
Hash table- the structure card deck is not from the type key-value, so the structure hash table cannot store the deck efficiently.
Memcached's APIs provide a giant hash table distributed across multiple machines.
In fact, all but the most simplistic Lisps have other data structures,such as vectors(arrays), hash tables, structures, and so forth.
The implementation with a hash table(the class Dictionary in. NET Framework) has a very fast add, search and remove of elements- constant complexity at the average case.
In Common Lisp and Windows PowerShell,they are called hash tables(since both typically use this implementation);
A secondary set of hash tables known as indexes contain"pointers" into the tables, allowing individual records to be retrieved without having to search the entire data set.
The most appropriate way to record the dictionary is in a hash table(Dictionary), which will provide a quick search for a given word.
Magma is an experimental distributed filesystem for Linux kernels based on libfuse on client side andon a written-from-scratch implementation of distributed hash table on server side.
Check whether each obtained word can be found in the hash table, and if so, add 1 to the number of occurrences.
The basic idea of a hash table is that the binding for a given key is stored at the position given by applying the hash function to that key, and that lookup operations are performed by looking at that cell of the array and using the binding found there.
In various languages, this is realized as an object, record, struct,dictionary, hash table, keyed list, or associative array.
Similarly, all of the collection objects(container types) in Scala, e.g. linked lists, arrays,sets and hash tables, are available in mutable and immutable variants, with the immutable variant considered the more basic and default implementation.
Software companies are riddled with a shocking amount of self-taught amateurs who, despite having programmed on a salary for years, have no grasp of the fundamentals of programming andhave no idea what a hash table is, how polymorphism works and how to work with bitwise operations.
This type is optimized for several different uses; it can be treated as an array,list(vector), hash table(an implementation of a map), dictionary, collection, stack, queue, and probably more.
Dictionaries may also be stored in binary search trees or in data structures specialized to a particular type of keys such as radix trees, tries, Judy arrays, or van Emde Boas trees, butthese implementation methods are less efficient than hash tables as well as placing greater restrictions on the types of data that they can handle.
If you start with creating dynamic websites using databases and AJAX without knowing what a linked list,tree or hash table is, one day you will find out what fundamental gaps there are in your skill set.
In Smalltalk, Objective-C,. NET, Python, REALbasic, Swift, VBA and Delphi they are called dictionaries; in Perl, Ruby and Seed7 they are called hashes; in C++, Java, Go, Clojure, Scala, OCaml, Haskell they are called maps(see map(C++), unordered_map(C++), and Map); in Common Lisp and Windows PowerShell,they are called hash tables(since both typically use this implementation); in Maple and Lua.
A standard binary heap based priority queue does not directly support the operation of searching for one of its elements, butit can be augmented with a hash table that maps elements to their position in the heap, allowing this decrease-priority operation to be performed in logarithmic time.
We create an array containing 256 elements which contain pointers to strings or0- this will be our'hash table', let's denote it as HashTable[0… 255].
It's surprising how many of the candidates for software engineering positions that come to us for an interview don't know how a hash table works, haven't heard of algorithm complexity, cannot sort an array or sort it with a complexity of O(n3).
Associative arrays may also be stored in unbalanced binary search trees or in data structures specialized to a particular type of keys such as radix trees, tries, Judy arrays, or van Emde Boas trees, butthese implementation methods are less efficient than hash tables[citation needed] as well as placing greater restrictions on the types of data that they can handle.