.. _method-bayes_calibration-queso-emulator-pce-expansion_order-collocation_ratio-least_squares: """"""""""""" least_squares """"""""""""" Compute the coefficients of a polynomial expansion using least squares .. toctree:: :hidden: :maxdepth: 1 method-bayes_calibration-queso-emulator-pce-expansion_order-collocation_ratio-least_squares-svd method-bayes_calibration-queso-emulator-pce-expansion_order-collocation_ratio-least_squares-equality_constrained **Specification** - *Alias:* None - *Arguments:* None - *Default:* svd **Child Keywords:** +-------------------------+--------------------+--------------------------+---------------------------------------------+ | Required/Optional | Description of | Dakota Keyword | Dakota Keyword Description | | | Group | | | +=========================+====================+==========================+=============================================+ | Optional (Choose One) | LSQ Regression | `svd`__ | Calculate the coefficients of a polynomial | | | Approach | | chaos expansion using the singular value | | | | | decomposition. | | | +--------------------------+---------------------------------------------+ | | | `equality_constrained`__ | Calculate the coefficients of a polynomial | | | | | chaos expansion using equality constrained | | | | | least squares. | +-------------------------+--------------------+--------------------------+---------------------------------------------+ .. __: method-bayes_calibration-queso-emulator-pce-expansion_order-collocation_ratio-least_squares-svd.html __ method-bayes_calibration-queso-emulator-pce-expansion_order-collocation_ratio-least_squares-equality_constrained.html **Description** Compute the coefficients of a polynomial expansion using least squares. Specifically SVD-based least-squares will be used for solving over-determined systems. For the situation when the number of function values is smaller than the number of terms in a PCE, but the total number of samples including gradient values is greater than the number of terms, the resulting over-determined system will be solved using equality constrained least squares