Abstract: This paper presents a multivariate optimization technique for the numerical simulation of continuous dynamical systems whose parameters, functional forms and/or initial conditions are ...
*: Department of Statistics and Data Science, National University of Singapore, Singapore; Email: [email protected] †: Department of Statistics and Data Science and Yale-NUS College, National ...
Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...
We investigate risk-averse stochastic optimization problems with a risk-shaping constraint in the form of a stochastic-order relation. Both univariate and multivariate orders are considered. We extend ...
Abstract: This paper describes a parameter estimation algorithm applicable for the model structures in the form of multivariate polynomial systems. An example of a synchronous machine nonlinear model ...
go-numerics/ │── .github/ # GitHub Actions, PR templates, etc. │ └── workflows/ # CI/CD pipeline (tests, linting) │── cmd/ # Command-line ...
A numerical solution of multivariate normal integrals over a region B is given where the covariance matrix is the sum of a diagonal matrix D and the product of a row vector with its transpose. An ...
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