Publication

Paris (Monde) : géographies du 13 novembre 2015

2015
Journal Articles

Abstract

The 13th November 2015 terrorist attacks in Paris call for a multi-scalar and multimetric geographical analysis. From Paris’ « intimate hypercentre » to the « global low-intensity civil war », this event embraces the entire complexity of the present contemporary world. The central part that spaces and spatialities play is patent.

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2015
Journal Articles

Abstract

Official source

Related concepts (19)

Complexity class

In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity". The two most commonly analyzed resources are time and memory. In general, a complexity class is defined in terms of a type of computational problem, a model of computation, and a bounded resource like time or memory. In particular, most complexity classes consist of decision problems that are solvable with a Turing machine, and are differentiated by their time or space (memory) requirements.

Space complexity

The space complexity of an algorithm or a computer program is the amount of memory space required to solve an instance of the computational problem as a function of characteristics of the input. It is the memory required by an algorithm until it executes completely. This includes the memory space used by its inputs, called input space, and any other (auxiliary) memory it uses during execution, which is called auxiliary space. Similar to time complexity, space complexity is often expressed asymptotically in big O notation, such as etc.

P (complexity)

In computational complexity theory, P, also known as PTIME or DTIME(nO(1)), is a fundamental complexity class. It contains all decision problems that can be solved by a deterministic Turing machine using a polynomial amount of computation time, or polynomial time. Cobham's thesis holds that P is the class of computational problems that are "efficiently solvable" or "tractable". This is inexact: in practice, some problems not known to be in P have practical solutions, and some that are in P do not, but this is a useful rule of thumb.

Related publications (1)

Paris (Monde) : géographies du 13 novembre 2015

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Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities