Abstract Data Structure

1. An abstract data structure is a module consisting of data and operations. (Web site)

Abstract State Machine

1. The approach was originally developed by Yuri Gurevich, based around the concept of an abstract state machine, and is also espoused by Egon B--rger. (Web site)
2. In computer science, the term abstract state machine is used as a synonym for a finite state machine with regard to abstract algorithms for sorting. (Web site)
3. Another answer was given by Yuri Gurevich in [2] - a sequential algorithm is an Abstract State Machine (states are first-order structures). (Web site)

Abstract State Machines

1. In particular, abstract state machines have, by definition, an infinite reserve. (Web site)
2. We formulate three postulates satisfied by all sequential algorithms (and in particular by sequential abstract state machines).
3. Then we present some theoretical problems that bridge between the traditional LICS themes and abstract state machines.

Abstract Syntax Tree

1. The abstract syntax tree is a convenient method of representing an expression in memory device 204 for subsequent processing by transformation module 304. (Web site)
2. The abstract syntax tree is a convenient method ofrepresenting an expression in memory device 204 for subsequent processing by transformation module 304. (Web site)
3. The abstract syntax tree is a graph representation of the syntax and structure of the source code text file. (Web site)

Action Semantics

1. Action Semantics is a framework for the formal description of programming languages. (Web site)
2. Action Semantics is a novel approach to the formal description of programming languages. (Web site)
3. Action Semantics is a practical framework for formal semantic description of programming languages. (Web site)
4. Action semantics was designed to support readability, abstraction, modularity, and modifiability of language definitions.
5. Action semantics: A tool for developing programming languages.

Algebraic Semantics

1. Algebraic semantics of ER-models in the context of the calculus of relations.
2. Operational and algebraic semantics of concurrent processes (LFCS report series. (Web site)
3. Citations: An algebraic semantics approach to efficient resolution of type equations - Ait-Kaci (ResearchIndex) H. Ait-Kaci.

Alias Method

1. The alias method is an efficient algorithm for creating random numbers with a non-uniform distribution. (Web site)

Almost Complete

1. The transfers are almost complete - two cacti and sombrero motifs have been cut apart but are in the envelope.
2. In computer science, a problem is almost complete for a complexity class C if it is both in C and "many" other problems in C reduce to it.
3. An almost complete binary tree is a tree in which each node that has a right child also has a left child.

Ambient Calculus

1. Ambient calculus is a form of notation devised by Luca Cardelli and Andrew D. Gordon in 1998 and used to describe and theorise about mobile systems.
2. The Ambient Calculus is a process calculus where processes may reside within a hierarchy of locations and modify it.
3. The Ambient Calculus is a process calculus where processes my reside within a hierarchy of locations and modify it. (Web site)
4. The Ambient Calculus was developed by Cardelli and Gordon as a formal framework to study issues of mobility and migrant code. (Web site)
5. The Ambient Calculus was developed by Cardelli and Gordon as a formal framework to study issues of mobility and migrant.

Array

1. An array is a particular method of storing elements of indexed data.
2. The array is a SCREAM chip containing over 11,000 actuators in 1 square centemeter, and can orient small parts without sensory feedback. (Web site)

Artificial Immune System

1. AISEC: an artificial immune system for e-mail classification. (Web site)
2. Assessing the performance of the resource limited artificial immune system AINE. Thomas Knight and Jon Timmis.
3. Towards a danger theory inspired artificial immune system for web mining.

Artificial Intelligence

1. Artificial Intelligence is the Science of making machines do.
2. Artificial Intelligence was an important influence on the development of logic programming.
3. Artificial intelligence - The implementation and study of systems that exhibit an autonomous intelligence or behaviour of their own.

Atomicity

1. Atomicity is a common correctness requirement for concurrent programs.
2. Atomicity is a property of database transactions which are guaranteed to either completely occur (commits), or have no effects (and are rolled back).

Automated Reasoning

1. Automated reasoning is a growing field that provides a healthy interplay between basic research and application. (Web site)

Axiomatic Semantics

1. Axiomatic semantics is a verification method that makes assertions describing properties about the states of a program. (Web site)
2. Axiomatic semantics is a verification method that makes assertions describing properties about the states of the program.
3. Axiomatic semantics is an approach based on mathematical logic to proving the correctness of computer programs.

B-Tree

1. A B-tree is a type of balanced tree.
2. A B-tree is an efficient means of storing and finding records in a database.

B-Trees

1. B-trees are faster because they use nodes with many child nodes or "branches." This is in contrast to binary trees, where each node has only two branches.
2. B-trees are tree data structures that are most commonly found in databases and filesystem implementations. (Web site)

Beam Search

1. Beam search is a heuristic search algorithm that is an optimization of best-first search. (Web site)

Binary Golay Code

1. In the extended binary Golay code, all code words have Hamming weight 0, 8, 12, 16, or 24.
2. The perfect binary Golay code is a perfect code; that is, the balls of radius 3 around code words form a partition of the vector space.
3. If heads are interpreted as 1 and tails as 0 then moving to a codeword from the extended binary Golay code guarantees it will be possible to force a win.

Binary Search

1. A binary search is an efficient method for detecting the presence or absence of a key value among a set of keys.
2. Binary Search is the length of the path from the root to external node j. (Web site)

Binary Tree

1. A binary tree is a leftist heap if it is heap-ordered and if the rank of a given leftchild is greater than, or equal to, the rank of its rightchild sibling. (Web site)
2. A binary tree is a linked data structure consisting of a set of node s.
3. A binary tree is a rooted tree in which every node has at most two children.
4. A binary tree is one in which each node (except the terminal nodes) has exactly two branches leaving it.
5. The binary tree is a fundamental data structure used in computer science. (Web site)

Binary Trees

1. Binary trees are a specific implementation of an m-ary tree where there are m = 2 child nodes for every node on the tree. (Web site)
2. Binary trees are one kind of ordered tree, and there is a one-to-one mapping between binary trees and general ordered trees.

Bitmap Index

1. A bitmap index is a method of reducing the response time of queries involving common types of conditions in data objects, such as state = CA and age = 21. (Web site)
2. The bitmap index is a particularly promising strategy for these types of data accesses.

Bitonic Sorter

1. A drawback to Batcher's bitonic sorter is that, once built for a certain list size, it cannot be easily modified to sort longer lists.
2. One well known sorting network is a bitonic sorter devised by K. E. Batcher and described in "Sorting Networks and Their Application", Proc.

Blackboard

1. A blackboard is an ideal platform for supporting hot-swap or plug-n-play components. (Web site)
2. Blackboard: the interface for retrieving and storing data.

Blackboard System

1. A blackboard system enables this flexible brainstorming style of interaction between diverse software specialists.
2. A blackboard system in computer science is a type of Artificial Intelligence application based on the blackboard architectural model.

Bucket Sort

1. Bucket sort is a generalization of pigeonhole sort.
2. Bucket sort is a sort algorithm that works by partitioning an array into a finite number of buckets and then sorting each bucket. (Web site)

Cache-Oblivious Model

1. To measure the complexity of an algorithm that executes within the cache-oblivious model, we can measure the familiar (running time) work complexity W(n).
2. In computing, the cache-oblivious model is an abstract machine similar to many modern machines, featuring random access and a two-level cache.

Chic

1. CHIC is a modular verifier for behavioral compatibility checking of hardware and software systems.

Children

1. Children are being taught basic computer skills in the classroom in order to prepare them for the future evolution of the computer age. (Web site)
2. The children are getting data from tree parent and allowed to search other peers with disjoint data. (Web site)
3. The children were asked if they would study science subjects if they were not compulsory.

Child Node

1. A child node is a node that is linked to one parent node. (Web site)

Cigarette Smokers Problem

1. The cigarette smokers problem is a concurrency problem, originally described in 1971 by S. S. Patil.
2. The cigarette smokers problem is a concurrency problem, originally described in 1971 by Suhas Patil.

Class Invariant

1. A class invariant is a constraint that should be satisfied by every method of a class.

Cleartalk

1. ClearTalk is a formal language for expressing information.

Clipping Path

1. A clipping path is defined with a 'clipPath' element.

Communications of The Acm

1. A later review article, "A Comparison of list-processing computer languages" by Bobrow and Raphael, appeared in Communications of the ACM in April 1964. (Web site)
2. Revised report on the algorithmic language ALGOL 60. Communications of the ACM, 6(1):1-17, January 1963. (Web site)
3. Binding, migration and scalability in CORBA. Communications of the ACM, 41(10):62-71, October 1998. (Web site)

Computation

1. Computation is a general term for any kind of information processing.
2. Computation is a general term for any type of information processing. (Web site)
3. Computation is a program happening.

Computational Tree Logic

1. Computational tree logic (CTL) is a subset of CTL* as well as of the modal -- calculus.
2. Computational tree logic (CTL) and Linear temporal logic (LTL) are both a subset of CTL*. CTL and LTL are not equivalent and they have a common subset.
3. The properties to be verified are often described in temporal logics, such as linear temporal logic (LTL) or computational tree logic (CTL).

Computer Program Analysis

1. Computer program analysis is the process of automatically analysing the behavior of computer programs.

Computer Science

1. Computer Science is the study of computation and of methods for addressing, processing, storing, and transmitting information.
2. Computer science is the study of information and computation. (Web site)
3. Computer science is the study of the theoretical foundations of information and computation and their implementation and application in computer systems.

Conceptual Schema

1. A conceptual schema is a map of concepts and their relationships.

Connection Pool

1. A connection pool is a group of JDBC connections to a database. (Web site)

Constraint Satisfaction Problem

1. MUSE CSP can be used to compactly represent several similar instances of the constraint satisfaction problem.
2. A constraint satisfaction problem involves finding values for variables subject to constraints on which combinations of values are allowed.

Container

1. A container is a graphical object that can hold components or other containers. (Web site)
2. Container : an object that can contain other objects.

Cosy

1. Cosy is an operating system for highly parallel computers, with hundreds or thousands of processors.

Cplex

1. CPLEX is a commercial software software product for solving linear, integer linear, and network linear programs.
2. CPLEX is a registered trademark of CPLEX Optimization, Inc.

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