![The Java Collections Framework](http://s1.studyres.com/store/data/000942435_1-12cac3271d29439a6ab24bb614489982-300x300.png)
The Java Collections Framework
... Some predefined Java classes that implement the notion of a dictionary are: • HashMap • TreeMap • The map is sorted according to the natural ordering of its keys, or by a Comparator provided at map creation time • guaranteed log(n) time cost for the containsKey, get, put and remove operations ...
... Some predefined Java classes that implement the notion of a dictionary are: • HashMap • TreeMap • The map is sorted according to the natural ordering of its keys, or by a Comparator provided at map creation time • guaranteed log(n) time cost for the containsKey, get, put and remove operations ...
Heaps and PQs
... You are not required to know one specific PQ implementation but you need to understand their general principles that require any Data Structure to allow for: Quick insertion of PQ elements Quick retrieval of an element with the top priority Potential PQ implementations include: ...
... You are not required to know one specific PQ implementation but you need to understand their general principles that require any Data Structure to allow for: Quick insertion of PQ elements Quick retrieval of an element with the top priority Potential PQ implementations include: ...
ch13hashing
... • A hash function should be extremely easy to compute and should scatter the search keys evenly throughout the hash table • A collision occurs when two different search keys hash into the same array location • Hashing does not efficiently support operations that require the table items to be ordered ...
... • A hash function should be extremely easy to compute and should scatter the search keys evenly throughout the hash table • A collision occurs when two different search keys hash into the same array location • Hashing does not efficiently support operations that require the table items to be ordered ...
Text10-StaticArrays - Vernon Computer Science
... massive data storage. Such major storage requirements cannot be handled efficiently by thousands of simple data type variables, each storing a single value. You will need more sophisticated data types. It can be argued that you have been storing multiple values inside objects since the very beginnin ...
... massive data storage. Such major storage requirements cannot be handled efficiently by thousands of simple data type variables, each storing a single value. You will need more sophisticated data types. It can be argued that you have been storing multiple values inside objects since the very beginnin ...
Proceedings of the FREENIX Track: 2002 USENIX Annual Technical Conference
... that have such a requirement are generally embedded. The primary goals of the design and implementation are simplicity and small code size. ...
... that have such a requirement are generally embedded. The primary goals of the design and implementation are simplicity and small code size. ...
Ch. 15 - School of Computing and Information Sciences
... • Every key in the map has an associated value. • The map stores the keys, values, and the associations between them. ...
... • Every key in the map has an associated value. • The map stores the keys, values, and the associations between them. ...
The LevelArray: A Fast, Practical Long
... bounds of deterministic algorithms. In this paper, we show that such efficient solutions exist, by proposing a long-lived activity array with sublogaritmic worst-case time for registering, and stable worst-case behavior in practice. The algorithm, called LevelArray, guarantees constant average compl ...
... bounds of deterministic algorithms. In this paper, we show that such efficient solutions exist, by proposing a long-lived activity array with sublogaritmic worst-case time for registering, and stable worst-case behavior in practice. The algorithm, called LevelArray, guarantees constant average compl ...
Lecture 5 (linked lists, vectors)
... We replace the array k = n/c times The total time T(n) of a series of n push operations is proportional to n + c + 2c + 3c + 4c + … + kc = n + c(1 + 2 + 3 + … + k) = n + ck(k + 1)/2 Since c is a constant, T(n) is O(n + k2), i.e., O(n2) The amortized time of a push operation is O(n) © 2004 Goodrich, ...
... We replace the array k = n/c times The total time T(n) of a series of n push operations is proportional to n + c + 2c + 3c + 4c + … + kc = n + c(1 + 2 + 3 + … + k) = n + ck(k + 1)/2 Since c is a constant, T(n) is O(n + k2), i.e., O(n2) The amortized time of a push operation is O(n) © 2004 Goodrich, ...
Chapter 4 Methods - I.T. at The University of Toledo
... method shown below in (a) is logically correct, but it has a compilation error because the Java compiler thinks it possible that this method does not return any value. public static int sign(int n) { if (n > 0) return 1; else if (n == 0) return 0; else if (n < 0) return –1; ...
... method shown below in (a) is logically correct, but it has a compilation error because the Java compiler thinks it possible that this method does not return any value. public static int sign(int n) { if (n > 0) return 1; else if (n == 0) return 0; else if (n < 0) return –1; ...
05slide
... method shown below in (a) is logically correct, but it has a compilation error because the Java compiler thinks it possible that this method does not return any value. public static int sign(int n) { if (n > 0) return 1; else if (n == 0) return 0; else if (n < 0) return –1; ...
... method shown below in (a) is logically correct, but it has a compilation error because the Java compiler thinks it possible that this method does not return any value. public static int sign(int n) { if (n > 0) return 1; else if (n == 0) return 0; else if (n < 0) return –1; ...
CS2007Ch12C
... specified amount of time (O(logn) or O(n)) Time usually depends on number of elements (n) stored in the table In some situations searching should be almost instantaneous -- how? ...
... specified amount of time (O(logn) or O(n)) Time usually depends on number of elements (n) stored in the table In some situations searching should be almost instantaneous -- how? ...
Chapter 4 Methods
... Unicode between 0 and FFFF in hexadecimal (65535 in decimal). To generate a random character is to generate a random integer between 0 and 65535 using the following expression: (note that since 0 <= Math.random() < 1.0, you have to add 1 to 65535.) (int)(Math.random() * (65535 + 1)) Liang, Introduct ...
... Unicode between 0 and FFFF in hexadecimal (65535 in decimal). To generate a random character is to generate a random integer between 0 and 65535 using the following expression: (note that since 0 <= Math.random() < 1.0, you have to add 1 to 65535.) (int)(Math.random() * (65535 + 1)) Liang, Introduct ...
Chapter 6
... Unicode between 0 and FFFF in hexadecimal (65535 in decimal). To generate a random character is to generate a random integer between 0 and 65535 using the following expression: (note that since 0 <= Math.random() < 1.0, you have to add 1 to 65535.) (int)(Math.random() * (65535 + 1)) Liang, Introduct ...
... Unicode between 0 and FFFF in hexadecimal (65535 in decimal). To generate a random character is to generate a random integer between 0 and 65535 using the following expression: (note that since 0 <= Math.random() < 1.0, you have to add 1 to 65535.) (int)(Math.random() * (65535 + 1)) Liang, Introduct ...
Automatic Memory Reclamation for Lock-Free Data
... for lock-free data structure. An data-structure is called lockfree (a.k.a. non-blocking) [8] if it guarantees that (at least one) operation will complete after the threads execute a finite number of steps. Lock-free data structures are fast, scalable and widely used. They eliminate deadlock, liveloc ...
... for lock-free data structure. An data-structure is called lockfree (a.k.a. non-blocking) [8] if it guarantees that (at least one) operation will complete after the threads execute a finite number of steps. Lock-free data structures are fast, scalable and widely used. They eliminate deadlock, liveloc ...
Compsci_201_Midterm_1_Review
... • Arrays: fixed-length, typed • Lists: variable-length, ordered • Sets: variable-length, unordered, unique elements • Maps: variable-length, unordered, keyvalue pairs ...
... • Arrays: fixed-length, typed • Lists: variable-length, ordered • Sets: variable-length, unordered, unique elements • Maps: variable-length, unordered, keyvalue pairs ...
Practical lock-freedom - Cambridge Computer Lab
... location has not meanwhile been altered. CAS is supported in hardware by most modern multiprocessor architectures. Those that do not implement CAS provide alternative machine instructions that can be used to emulate CAS with very little overhead. Another commonly-assumed primitive is double-word com ...
... location has not meanwhile been altered. CAS is supported in hardware by most modern multiprocessor architectures. Those that do not implement CAS provide alternative machine instructions that can be used to emulate CAS with very little overhead. Another commonly-assumed primitive is double-word com ...
continued
... 2. Demote the parent of the empty slot if it is larger than the element to be inserted Move the parent value into the vacant slot, and move the vacant slot up Repeat this demotion as long as the parent of the vacant slot is larger than the element to be inserted ...
... 2. Demote the parent of the empty slot if it is larger than the element to be inserted Move the parent value into the vacant slot, and move the vacant slot up Repeat this demotion as long as the parent of the vacant slot is larger than the element to be inserted ...
continued
... 2. Demote the parent of the empty slot if it is larger than the element to be inserted Move the parent value into the vacant slot, and move the vacant slot up Repeat this demotion as long as the parent of the vacant slot is larger than the element to be inserted ...
... 2. Demote the parent of the empty slot if it is larger than the element to be inserted Move the parent value into the vacant slot, and move the vacant slot up Repeat this demotion as long as the parent of the vacant slot is larger than the element to be inserted ...
Modeling and Using Imperfect Context Information
... Context events are often sent as Elvin notifications Tool provides: ...
... Context events are often sent as Elvin notifications Tool provides: ...
Programming in Algorithms: Generic Programming and its Implementation By Daniel Giovannelli
... The other major implementation of generic programming (especially in more modern, purely objectoriented languages, which do not have support for functions that are not bound to classes) is generic classes. A generic class is similar to a generic function, but which instead allows for representation ...
... The other major implementation of generic programming (especially in more modern, purely objectoriented languages, which do not have support for functions that are not bound to classes) is generic classes. A generic class is similar to a generic function, but which instead allows for representation ...
Chapter 13 Exception Handling
... Exceptions Exception is a useful programming construct because the location where an error is detected is usually not the place where the appropriate solution is known. ...
... Exceptions Exception is a useful programming construct because the location where an error is detected is usually not the place where the appropriate solution is known. ...
A Skiplist-Based Concurrent Priority Queue with Minimal Memory
... numbers of concurrent processor cores, skiplists [15] are an increasingly popular basis. A major reason is that skiplists allow concurrent accesses to different parts of the data structure in a simple way. Several lock-free concurrent skiplist implementations have been proposed [3, 4, 16]. The perfo ...
... numbers of concurrent processor cores, skiplists [15] are an increasingly popular basis. A major reason is that skiplists allow concurrent accesses to different parts of the data structure in a simple way. Several lock-free concurrent skiplist implementations have been proposed [3, 4, 16]. The perfo ...
Cache Craftiness for Fast Multicore Key
... This paper presents Masstree, a storage system specialized for key-value data in which all data fits in memory, but must persist across server restarts. Within these constraints, Masstree aims to provide a flexible storage model. It supports arbitrary, variable-length keys. It allows range queries o ...
... This paper presents Masstree, a storage system specialized for key-value data in which all data fits in memory, but must persist across server restarts. Within these constraints, Masstree aims to provide a flexible storage model. It supports arbitrary, variable-length keys. It allows range queries o ...
Cache Craftiness for Fast Multicore Key-Value Storage - PDOS-MIT
... This paper presents Masstree, a storage system specialized for key-value data in which all data fits in memory, but must persist across server restarts. Within these constraints, Masstree aims to provide a flexible storage model. It supports arbitrary, variable-length keys. It allows range queries o ...
... This paper presents Masstree, a storage system specialized for key-value data in which all data fits in memory, but must persist across server restarts. Within these constraints, Masstree aims to provide a flexible storage model. It supports arbitrary, variable-length keys. It allows range queries o ...