Examples of using Complexity theory in English and their translations into Greek
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To understand the complexity theory and its applications.
Now that I have got your attention, complexity theory.
Complexity theory is looking at the functioning of systems.
Now that I have got your attention, complexity theory| TED Talk.
And complexity theory, it turns out, can reveal a lot about how the world economy works.
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This was proven by Gabriel Lamé in 1844, andmarks the beginning of computational complexity theory.
Interactions with computer science, complexity theory and the theory of formal languages.
Studying their abstract properties yields many insights into computer science and complexity theory.
Complexity theory has identified simple principles that govern the coevolution of species in complex ecosystems.
This direction combines the principles of Positive Psychology with complexity theory and social networks.
Complexity theory has identified similar principles that govern the co-evolution of various species in complex ecosystems.
Indefinite logarithm when the base is irrelevant,for example, in complexity theory when describing the asymptotic behavior of algorithms in big O notation.
Computational complexity theory- focuses on classifying computational problems according to their inherent difficulty, and relating these classes to each other.
I'm not talking about'chaos theory', orthe equally trendy'complexity theory', but just about the ordinary statistics of causation.
Computational complexity theory topic Computational complexity theory focuses on classifying computational problems efmonds to their inherent difficulty, and relating these classes to each other.
These include non-linear systems(there are modules on the weather,modelling of biological systems, and complexity theory) and theoretical physics.
In particular, computational complexity theory determines the practical limits on what computers can and cannot do.
Computer scientists employed by academic institutions work in areas such as complexity theory, hardware and programming-language design.
Computational complexity theory is a branch of the theory of computation focused on the classification of problems according to their inherent difficulty, and relating those classes to each other.
Those employed by academic institutions work in areas ranging from complexity theory, hardware, to programming language design.
Computational complexity theory is a branch of the theory of computation that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other.
Those employed by academic institutions focus on areas ranging from complexity theory to hardware and programming language design.
In computability theory and computational complexity theory, a decision problem is a question in some formal system with a yes-or-no answer, depending on the values of some input parameters.
It started as a part of combinatorics and graph theory, but is now viewed as a branch of applied mathematics and computer science, related to operations research,algorithm theory and computational complexity theory.
Those employed by academic institutions function in areas ranging from complexity theory, to hardware architecture, to programming-language design.
In computational complexity theory, computer algorithms of exponential complexity require an exponentially increasing amount of resources(e.g. time, computer memory) for only a constant increase in problem size.
This proof, published by Gabriel Lamé in 1844,represents the beginning of computational complexity theory, and also the first practical application of the Fibonacci numbers.
Computing science encompasses many branches; some emphasize the computationof specific results(such as computer graphics), while others(such as computational complexity theory) relate to properties of computational problems.
Important sub-fields of information theory are source coding, channel coding,algorithmic complexity theory, algorithmic information theory, information-theoretic security, and measures of information.
Important sub-fields of information theory include source coding, channel coding,algorithmic complexity theory, algorithmic information theory, information-theoretic security, and measures of information.