Results 71 to 80 of about 11,243,181 (388)
Discrete Applied Mathematics, 2008 12 ...
David Eppstein, Jean-Claude Falmagne
openaire +3 more sources
, 2018 Evolutionary algorithms (EAs) are population-based metaheuristics, originally inspired by aspects of natural evolution. Modern varieties incorporate a broad mixture of search mechanisms, and tend to blend inspiration from nature with pragmatic engineering concerns; however, all EAs essentially operate by maintaining a population of potential solutions ...
Michael A. Lones, David Corne
openaire +2 more sources
IEEE Transactions on Information Theory, 2001 LaTeX, 22 pages, 1 figure, with correction to the published journal ...
P.M.B. Vitanyi, P. Gács, J.A.H. Tromp
openaire +4 more sources
FEBS Letters, EarlyView.We describe a novel set of Epac‐based FRET‐FLIM biosensors with improved fully cytosolic distribution, achieved without compromising the state‐of‐the‐art performance of our original designs, for detecting cAMP dynamics in real time in live cells with high precision and reliability.
Giulia Zanetti +2 more
wiley +1 more source
Algorithms for matrix multiplication via sampling and opportunistic matrix multiplication [PDF]
Algorithmica 86(9), pp. 2822-2844 (2024), 2021 Karppa & Kaski (2019) proposed a novel ``broken" or ``opportunistic" matrix multiplication algorithm, based on a variant of Strassen's algorithm, and used this to develop new algorithms for Boolean matrix multiplication, among other tasks. Their algorithm can compute Boolean matrix multiplication in $O(n^{2.778})$ time.
arxiv
A user-friendly Bees Algorithm for continuous and combinatorial optimisation
Cogent Engineering, 2023 This paper introduces a new variant of the Bees Algorithm (BA) called Bees Algorithm with 2-parameter (BA2), which is a population-based metaheuristic algorithm designed to solve continuous and combinatorial optimisation problems.
Asrul Harun Ismail +2 more
doaj +1 more source
, 2012 In terms of the concepts of state and state transition, a new heuristic random search algorithm named state transition algorithm is proposed. For continuous function optimization problems, four special transformation operators called rotation ...
A. H. Wright +33 more
core +1 more source
FEBS Letters, EarlyView.We present the first solution structure of the Ca2+‐depleted LETM1 F‐EF‐hand through a D676A/N678A Ca2+ binding‐deficient mutant, revealing a closed hydrophobic cleft caused by a unique F1‐helix pivot. The apo LETM1 F‐EF‐hand exhibits regiospecific hot and cold unfolding, sensitivity to physiological pH changes and potential for promiscuous heterotypic
Qi‐Tong Lin +2 more
wiley +1 more source
Manifold Learning for Dimensionality Reduction: Quantum Isomap algorithm [PDF]
arXiv, 2022 Isomap algorithm is a representative manifold learning algorithm. The algorithm simplifies the data analysis process and is widely used in neuroimaging, spectral analysis and other fields. However, the classic Isomap algorithm becomes unwieldy when dealing with large data sets. Our object is to accelerate the classical algorithm with quantum computing,
arxiv
, 2009 We consider the roles of algorithm and human and their inter-relationships. As a vehicle for some of our ideas we describe an empirical investigation of software professionals using analogy-based tools and unaided search in order to solve various ...
Mair, Carolyn, Shepperd, Martin
core