Information-based complexity (IBC) studies optimal algorithms and computational complexity for the continuous problems that arise in physical science,...

In algorithmic information theory (a subfield of computer science and mathematics), the Kolmogorov complexity of an object, such as a piece of text, is...

Information fluctuation complexity is an information-theoretic quantity defined as the fluctuation of information about entropy. It is derivable from...

computational complexity, parallel and distributed computation, probabilistic computation, quantum computation, automata theory, information theory, cryptography...

approach to complexity theory of numerical analysis is information based complexity. Continuous complexity theory can also refer to complexity theory of...

In theoretical computer science, communication complexity studies the amount of communication required to solve a problem when the input to the problem...

Complexity characterizes the behavior of a system or model whose components interact in multiple ways and follow local rules, leading to non-linearity...

S2CID 207055414. Drori, Yoel (2017). "The Exact Information-based Complexity of Smooth Convex Minimization". Journal of Complexity. 39: 1–16. arXiv:1606.01424. doi:10...

Specified complexity is a creationist argument introduced by William Dembski, used by advocates to promote the pseudoscience of intelligent design. According...

technological complexity increased, costs decreased, and the end-user (now the ordinary employee) required a system to share information with other employees...

computational model based on quantum mechanics. It studies the hardness of computational problems in relation to these complexity classes, as well as...

In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. Particular focus...

for understanding it can be found in information-based complexity (IBC), the branch of computational complexity founded on the observation that numerical...

theory include source coding, algorithmic complexity theory, algorithmic information theory, and information-theoretic security. There is another opinion...

The Lempel–Ziv complexity is a measure that was first presented in the article On the Complexity of Finite Sequences (IEEE Trans. On IT-22,1 1976), by...

order of hierarchical complexity of a task based on mathematical principles of how the information is organized, in terms of information science. This model...

The International Society for Complexity, Information, and Design (ISCID) was a creationism advocacy organization that described itself as "a cross-disciplinary...

(2013). Chaos in the Cosmos: the Stunning Complexity of the Universe. Springer. Bekenstein, J. D. (2003). Information in the holographic universe, Scientific...

Logical depth is a measure of complexity for individual strings devised by Charles H. Bennett based on the computational complexity of an algorithm that can...

Analysis of parallel algorithms Asymptotic computational complexity Information-based complexity Master theorem (analysis of algorithms) NP-complete Numerical...

Henryk Woźniakowski on computational complexity applied to continuous scientific problems (information-based complexity). He collaborated in creating significant...

when given reasonably complete information about the project system. With a lens of systems thinking, project complexity can be defined as an intricate...

the time complexity is the computational complexity that describes the amount of computer time it takes to run an algorithm. Time complexity is commonly...

Control, information returned by the CPUID instruction for the Intel Pentium and successors Inflammatory breast cancer Information-based complexity Intermediate...

Complexity economics is the application of complexity science to the problems of economics. It relaxes several common assumptions in economics, including...

There are several variants of Kolmogorov complexity or algorithmic information; the most widely used one is based on self-delimiting programs and is mainly...

problems in computer science In computational complexity theory, NP (nondeterministic polynomial time) is a complexity class used to classify decision problems...

Perturbational Complexity Index (PCI) is a quantitative measure used in neuroscience to assess the level of consciousness based on the complexity of brain responses...

Traub, Joseph F.; Wasilkowski, G. W.; Wozniakowski, H. (1988). Information-Based Complexity. Academic Press. ISBN 978-0-12-697545-1. Zabell, S. L. (Aug 1992)...

In computational complexity theory, a complexity class is a set of computational problems "of related resource-based complexity". The two most commonly...