![]() Re-parametrising Cost Matrices for Tuning Model Predictive Controllers. The Journal of Chemical Physics 2019, 151 Exact parameterization of fermionic wave functions via unitary coupled cluster theory. Evangelista, Garnet Kin-Lic Chan, Gustavo E. SIAM/ASA Journal on Uncertainty Quantification 2020, 8 Group Kernels for Gaussian Process Metamodels with Categorical Inputs. Olivier Roustant, Espéran Padonou, Yves Deville, Aloïs Clément, Guillaume Perrin, Jean Giorla, Henry Wynn.Random orthogonal matrices and the Cayley transform. Bayesian Inference over the Stiefel Manifold via the Givens Representation. The denition of an orthogonal matrix is related to the denition for vectors, but with a subtle dierence. Journal of Statistical Mechanics: Theory and Experiment 2021, 2021 This means it has the following features: it is a square matrix. ![]() Global multivariate model learning from hierarchically correlated data. In an orthogonal matrix, the columns and rows are vectors that form an orthonormal basis. Edwin Rodríguez Horta, Alejandro Lage-Castellanos, Martin Weigt, Pierre Barrat-Charlaix. We call an matrix orthogonal if the columns of form an orthonormal set of vectors.The cosine-sine decomposition with different-orbitals-for-different-spins determinants. Journal of Chemical Theory and Computation 2022, 18 Accelerated Convergence of Contracted Quantum Eigensolvers through a Quasi-Second-Order, Locally Parameterized Optimization. It is our hope that developers of new methods will benefit from this comparative presentation of an important but rarely analyzed subject. Four representations and parametrizations of orthogonal matrices in terms of the minimal number of essential parameters variables is discussed for all representations.
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