Definition, Betydning & Synonymer | engelsk ord COMPLEXITY

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Definitioner af COMPLEXITY

1. kompleksitet

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Eksempler på brug af COMPLEXITY i en sætning

• In algorithmic information theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is the length of a shortest computer program (in a predetermined programming language) that produces the object as output.
• In computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other resources needed to execute them.
• In computational complexity theory, bounded-error quantum polynomial time (BQP) is the class of decision problems solvable by a quantum computer in polynomial time, with an error probability of at most 1/3 for all instances.
• The time complexity of operations on the binary search tree is linear with respect to the height of the tree.
• Assembly theory, a way of characterizing extraterrestrial molecular complexity to assess the probability of the presence of life.
• The classical elements typically refer to earth, water, air, fire, and (later) aether which were proposed to explain the nature and complexity of all matter in terms of simpler substances.
• In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it.
• In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage, and explores the relationships between these classifications.
• He contributed to the development of the rigorous analysis of the computational complexity of algorithms and systematized formal mathematical techniques for it.
• In computability theory and computational complexity theory, a decision problem is a computational problem that can be posed as a yes–no question of the input values.
• Expander constructions have spawned research in pure and applied mathematics, with several applications to complexity theory, design of robust computer networks, and the theory of error-correcting codes.
• He is considered to be one of the founders of what is today known as algorithmic (Solomonoff–Kolmogorov–Chaitin, Kolmogorov or program-size) complexity together with Andrei Kolmogorov and Ray Solomonoff.
• It may range in complexity from a rudimentary hut to a complex structure of wood, masonry, concrete or other material, outfitted with plumbing, electrical, and heating, ventilation, and air conditioning systems.
• Irreducible complexity (IC) is the argument that certain biological systems with multiple interacting parts would not function if one of the parts were removed, so supposedly could not have evolved by successive small modifications from earlier less complex systems through natural selection, which would need all intermediate precursor systems to have been fully functional.
• In each case, the designation "linear" is used to identify a subclass of models for which substantial reduction in the complexity of the related statistical theory is possible.
• Multiple inheritance has been a controversial issue for many years, with opponents pointing to its increased complexity and ambiguity in situations such as the "diamond problem", where it may be ambiguous as to which parent class a particular feature is inherited from if more than one parent class implements said feature.
• A majority gate is a logical gate used in circuit complexity and other applications of Boolean circuits.
• All mathematical aspects of computer science, including computational complexity theory, logic of programming languages, analysis of algorithms, cryptography, computer vision, pattern recognition, information processing and modelling of intelligence.
• In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems.
• In computational complexity theory, the class NC (for "Nick's Class") is the set of decision problems decidable in polylogarithmic time on a parallel computer with a polynomial number of processors.

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