notes - Computer Science
... • “super” is called implicitly, for default constructor – For other kinds of constructors, call super( ) first to initialize inherited attributes. ...
... • “super” is called implicitly, for default constructor – For other kinds of constructors, call super( ) first to initialize inherited attributes. ...
Chapter 2--Basic Data Structures
... – If we use the array in a circular fashion, insertAtRank(0) and removeAtRank(0) run in O(1) time – In an insertAtRank operation, when the array is full, instead of throwing an exception, we can replace the array with a ...
... – If we use the array in a circular fashion, insertAtRank(0) and removeAtRank(0) run in O(1) time – In an insertAtRank operation, when the array is full, instead of throwing an exception, we can replace the array with a ...
D amortized analysis binomial heaps Fibonacci heaps
... Abstract. A powerful technique in the complexity analysis of data structures is amortization, or averaging over time. Amortized running time is a realistic but robust complexity measure for which we can obtain surprisingly tight upper and lower bounds on a variety of algorithms. By following the pri ...
... Abstract. A powerful technique in the complexity analysis of data structures is amortization, or averaging over time. Amortized running time is a realistic but robust complexity measure for which we can obtain surprisingly tight upper and lower bounds on a variety of algorithms. By following the pri ...
Balloon: A Forward-Secure Append-Only Persistent Authenticated
... in comparison with other authenticated data structures that provide the same properties as described above, such as persistent authenticated dictionaries [1]. Balloon is a key building block for privacy-preserving transparency logging to make data processing by service providers transparent to data ...
... in comparison with other authenticated data structures that provide the same properties as described above, such as persistent authenticated dictionaries [1]. Balloon is a key building block for privacy-preserving transparency logging to make data processing by service providers transparent to data ...
Lecture 12 : Identity and Equality I
... of computer science. A hash table is a representation for a mapping: an abstract data type that maps keys to values. Hash tables offer constant time lookup, so they tend to perform better than trees or lists. Keys don’t have to be ordered, or have any particular property, except for offering equals an ...
... of computer science. A hash table is a representation for a mapping: an abstract data type that maps keys to values. Hash tables offer constant time lookup, so they tend to perform better than trees or lists. Keys don’t have to be ordered, or have any particular property, except for offering equals an ...
Optimizing Hash-Array Mapped Tries for Fast and Lean Immutable
... equivalent and collision-free array-based hash set, with prime number table size 7 and load factor of 75 %. in the left top corner of each node refer to the positions of elements in an imaginary sparse array. This array is actually implemented as a 32-bit bitmap and a completely filled array with le ...
... equivalent and collision-free array-based hash set, with prime number table size 7 and load factor of 75 %. in the left top corner of each node refer to the positions of elements in an imaginary sparse array. This array is actually implemented as a 32-bit bitmap and a completely filled array with le ...
De-amortized Cuckoo Hashing: Provable Worst
... hashing are that no dynamic memory allocation is performed, and that the lookup procedure queries only two memory entries which are independent and can be queried in parallel. Although the insertion time of cuckoo hashing is essentially constant, with a noticeable probability during the insertion of ...
... hashing are that no dynamic memory allocation is performed, and that the lookup procedure queries only two memory entries which are independent and can be queried in parallel. Although the insertion time of cuckoo hashing is essentially constant, with a noticeable probability during the insertion of ...
MIS2502: Data Analytics SQL – Putting Information Into a Database
... So why do you think we defined “Zip” as a VARCHAR() instead of an INT? ...
... So why do you think we defined “Zip” as a VARCHAR() instead of an INT? ...
Data Modeling - Temple Fox MIS
... So why do you think we defined “Zip” as a VARCHAR() instead of an INT? ...
... So why do you think we defined “Zip” as a VARCHAR() instead of an INT? ...
Performance of Data Structures for Small Sets of
... the first six characters can be ignored in subsequent comparisons. However, we have found in a range of experiments on large data sets that the additional tests and operations needed to identify how many characters to ignore cost significantly more than the savings, and we do not use this technique ...
... the first six characters can be ignored in subsequent comparisons. However, we have found in a range of experiments on large data sets that the additional tests and operations needed to identify how many characters to ignore cost significantly more than the savings, and we do not use this technique ...
SQL 2: GETTING INFORMATION INTO A DATABASE MIS2502
... So why do you think we defined “Zip” as a VARCHAR() instead of an INT? ...
... So why do you think we defined “Zip” as a VARCHAR() instead of an INT? ...
+ n * O (log 2 n) = O(n log 2 n) O(n log 2 n)
... If it were dependent also on some other variable, its value should be also known at the search The function uses all the information from the input data If it were not using it, under a small variation of the input data a large number of equal outputs would be achieved – the distribution would d ...
... If it were dependent also on some other variable, its value should be also known at the search The function uses all the information from the input data If it were not using it, under a small variation of the input data a large number of equal outputs would be achieved – the distribution would d ...
COS 226 Final Exam Review Fall 2015 Ananda
... • When implementing a ST with hashing, what operations are not allowed in the ST? • What is a collision and how do we avoid them? • How can we minimize collisions in a hashtable? ...
... • When implementing a ST with hashing, what operations are not allowed in the ST? • What is a collision and how do we avoid them? • How can we minimize collisions in a hashtable? ...
Recursively Partitioned Static IP Router-Tables
... memory accesses that is less than the number of levels collapsed into the supernode. For example, we can access the correct child pointer (as well as its associated prefix/next hop) in a multibit trie with a single memory access independent of the size of the multibit node. Lunteren [7, 8] has devis ...
... memory accesses that is less than the number of levels collapsed into the supernode. For example, we can access the correct child pointer (as well as its associated prefix/next hop) in a multibit trie with a single memory access independent of the size of the multibit node. Lunteren [7, 8] has devis ...
B - Simon Fraser University
... B-Trees in Practice Order (n) concept replaced by physical space criterion in practice (‘at least half-full’). Inner nodes can typically hold many more entries than leaf nodes. Variable sized records and search keys mean different nodes will contain different numbers of entries. Even with fixed leng ...
... B-Trees in Practice Order (n) concept replaced by physical space criterion in practice (‘at least half-full’). Inner nodes can typically hold many more entries than leaf nodes. Variable sized records and search keys mean different nodes will contain different numbers of entries. Even with fixed leng ...
sorted
... Depending on the task, what goes on underneath the hood may be important We shall create our own machinery in C ...
... Depending on the task, what goes on underneath the hood may be important We shall create our own machinery in C ...
CLSP
... – High-cost operations can then be charged less than their true cost, and the deficit is paid for by the savings in the bank account. – In that way we spread the cost of high-cost operations over the entire sequence. – The charges to each operation must be set large enough that the balance in the ba ...
... – High-cost operations can then be charged less than their true cost, and the deficit is paid for by the savings in the bank account. – In that way we spread the cost of high-cost operations over the entire sequence. – The charges to each operation must be set large enough that the balance in the ba ...
Hashcube: Efficiently-queryable skycube compression
... We measure query time by dividing the total time to sequentially query every subspace by 2d −1. In contrast to uniformly sampling subspaces with replacement as in [10], this better estimates expected performance: the worst cases ((d1)-dimensional subspaces) are otherwise unlikely included. Output to ...
... We measure query time by dividing the total time to sequentially query every subspace by 2d −1. In contrast to uniformly sampling subspaces with replacement as in [10], this better estimates expected performance: the worst cases ((d1)-dimensional subspaces) are otherwise unlikely included. Output to ...
Hash table
In computing, a hash table (hash map) is a data structure used to implement an associative array, a structure that can map keys to values. A hash table uses a hash function to compute an index into an array of buckets or slots, from which the desired value can be found.Ideally, the hash function will assign each key to a unique bucket, but it is possible that two keys will generate an identical hash causing both keys to point to the same bucket. Instead, most hash table designs assume that hash collisions—different keys that are assigned by the hash function to the same bucket—will occur and must be accommodated in some way.In a well-dimensioned hash table, the average cost (number of instructions) for each lookup is independent of the number of elements stored in the table. Many hash table designs also allow arbitrary insertions and deletions of key-value pairs, at (amortized) constant average cost per operation.In many situations, hash tables turn out to be more efficient than search trees or any other table lookup structure. For this reason, they are widely used in many kinds of computer software, particularly for associative arrays, database indexing, caches, and sets.