Orthogonal Arrays Theory And Applications

By Jennifer Werfel. 2016

528 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/de652e3aa82b36469119402b855cfb7acb9a2811

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Citations in the corpus

Managing computational complexity using surrogate models: a critical review (2020, methodology): “These designs are built to decrease the number of essential design points and are also known as a Plackett–Burman design (Hedayat et al. 2012).”
Tapering off qubits to simulate fermionic Hamiltonians (2017, methodology): “Recall that an orthogonal array [21] over an alphabet A is a matrix R of size n×k with entries from A such that any pair of columns of R contains each two-letter word in the alphabet A the same number of times.”
Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (2017, methodology): “These are orthogonal arrays [52-54], Latin Hypercube designs [55-59], Hammersley sequences [60, 61] and uniform designs [62].”
Robust Energy Management of Microgrid With Uncertain Renewable Generation and Load (2016, methodology): “An OA for variables and levels is represented by OA (A, B, C, D) [17] in the form of a matrix with rows and columns, and the variable levels are indicated by matrix element, where A is known as the size of the arrays or the number of rows, which indicates the scenarios in a cycle, B is the number of”
Design of computer experiments: A review (2017, background): “Readers can refer to [75, 122, 123, 158, 159] for further details on the construction and properties of OAS.”
Absolutely maximally entangled states, combinatorial designs, and multiunitary matrices (2015, unknown): “(41)] is Hermitian and 3-unitary, but O 28 = I is only 1-unitary, as it represents a six-qubit quantum state equivalent to GHZ.”