• # LSQR

• Referenced in 410 articles [sw00530]
• LSQR: Sparse Linear Equations and Least Squares Problems. An iterative method is given for solving ... standard errors for x and the condition number of A. These are used ... most reliable algorithm when A is ill-conditioned...
• # RICPAC

• Referenced in 65 articles [sw15253]
• certain associated Hamiltonian or symplectic generalized eigenvalue problems. Utilizing an embedding technique, the package also ... covariance matrices are singular or ill-conditioned with respect to inversion. Cross-weighting or correlated ... Ward’s balancing for the generalized eigenvalue problem are available to improve condition and accuracy...
• # CMA-ES

• Referenced in 124 articles [sw05063]
• linear or non-convex continuous optimization problems. They belong to the class of evolutionary algorithms ... useful, if the function f is ill-conditioned. Adaptation of the covariance matrix amounts...
• # OPECgen

• Referenced in 20 articles [sw13463]
• quadratic MPEC, that is an optimization problem whose objective function is quadratic, first-level constraints ... ill-conditioning, convexity of the objective, monotonicity and symmetry of the second-level problem...
• # pathampl

• Referenced in 1 article [sw05080]
• near the solution or the problem is ill-conditioned or singular. In this paper ... model that can be used to identify problem areas and improve formulation. Descriptions and uses...
• # mngn

• Referenced in 2 articles [sw38382]
• norm solution to a nonlinear least-squares problem, as well as the case where ... important applications lead to severely ill-conditioned least-squares problems, we also consider some regularization...
• # DIRMIN

• Referenced in 9 articles [sw36985]
• approximated explicitly. For the solution of such problems the DIRECT algorithm has been proposed which ... deteriorates as the dimension and the ill-conditioning of the objective function increase. To overcome ... report extensive numerical results both on test problems from the literature and on an application...
• # TESTGO

• Referenced in 9 articles [sw36990]
• approximated explicitly. For the solution of such problems the DIRECT algorithm has been proposed which ... deteriorates as the dimension and the ill-conditioning of the objective function increase. To overcome ... report extensive numerical results both on test problems from the literature and on an application...
• # i-RevNet

• Referenced in 6 articles [sw29632]
• necessary condition to learn representations that generalize well on complicated problems, such as ImageNet ... because the local inversion is ill-conditioned, we overcome this by providing an explicit inverse...
• # LSMM

• Referenced in 2 articles [sw07010]
• varepsilon$with$K$being a known ill-conditioned matrix and$varepsilon\$ an additive noise term ... model uncertainties. To handle the ill-posedness of such problems, several efficient inversion methods...
• # CholQR

• Referenced in 12 articles [sw13049]
• numerically unstable when the matrix is ill-conditioned. To enhance the stability of CholQR ... precision CholQR only depends linearly on the condition number of the input matrix. We provide ... equations and for solving a symmetric eigenvalue problem, on a multicore CPU with multiple GPUs...