Results 11 to 20 of about 7,149,925 (323)
Unmanned air vehicles operate in highly dynamic and unknown environments where they can encounter unexpected and unseen failures. In the presence of emergencies, autonomous unmanned air vehicles should be able to land at a minimum distance or minimum ...
Onder Tutsoy +4 more
semanticscholar +3 more sources
Minimum Manhattan Distance Approach to Multiple Criteria Decision Making in Multiobjective Optimization Problems [PDF]
A minimum Manhattan distance (MMD) approach to multiple criteria decision making in multiobjective optimization problems (MOPs) is proposed. The approach selects the final solution corresponding with a vector that has the MMD from a normalized ideal ...
Wei-Yu Chiu, G. Yen, Teng-Kuei Juan
semanticscholar +3 more sources
Quantum LDPC Codes With Almost Linear Minimum Distance [PDF]
We give a construction of quantum LDPC codes of dimension $\Theta (\log N)$ and distance $\Theta (N/\log N)$ as the code length $N\to \infty $ . Using a product of chain complexes this construction also provides a family of quantum LDPC codes of ...
Pavel Panteleev, G. Kalachev
semanticscholar +1 more source
Speeding Up Minimum Distance Randomness Tests
Randomness testing is one of the essential and easiest tools for the evaluation of the features and quality of cryptographic primitives. The faster we can test, the greater volumes of data can be checked and evaluated and, hence, more detailed analyses ...
Krzysztof Mańk
doaj +1 more source
Minimum entropy production, detailed balance and Wasserstein distance for continuous-time Markov processes [PDF]
We investigate the problem of minimizing the entropy production for a physical process that can be described in terms of a Markov jump dynamics. We show that, without any further constraints, a given time-evolution may be realized at arbitrarily small ...
A. Dechant
semanticscholar +1 more source
New Construction of Low-Density Parity-Check Codes Based on Vector Space Over Finite Fields
Low-Density Parity-Check (LDPC) codes have low linear decoding complexity, which is a kind of good codes with excellent performance. Therefore, LDPC codes have great research value.
Xuemei Liu, Lihua Jia
doaj +1 more source
PurposeDeep-learning effectively predicts dose distributions in knowledge-based radiotherapy planning. Using anatomical information that includes a structure map and computed tomography (CT) data as input has been proven to work well.
Xinyuan Chen +6 more
doaj +1 more source
DEGREE DISTANCE AND MINIMUM DEGREE [PDF]
AbstractLet G be a finite connected graph of order n, minimum degree δ and diameter d. The degree distance D′(G) of G is defined as ∑ {u,v}⊆V (G)(deg u+deg v) d(u,v), where deg w is the degree of vertex w and d(u,v) denotes the distance between u and v. In this paper, we find an asymptotically sharp upper bound on the degree distance in terms of order,
Mukwembi, S., Munyira, S.
openaire +2 more sources
Entanglement-assisted quantum MDS codes from constacyclic codes with large minimum distance [PDF]
The entanglement-assisted (EA) formalism allows arbitrary classical linear codes to transform into entanglement-assisted quantum error correcting codes (EAQECCs) by using pre-shared entanglement between the sender and the receiver.
Liangdong Lu +5 more
semanticscholar +1 more source
Sparse Blossom: correcting a million errors per core second with minimum-weight matching [PDF]
In this work, we introduce a fast implementation of the minimum-weight perfect matching (MWPM) decoder, the most widely used decoder for several important families of quantum error correcting codes, including surface codes.
O. Higgott, C. Gidney
semanticscholar +1 more source

