### Table 1: The advantages of partially known viewing parameters on various, classically ill-posed Computer Vision problems [1].

1998

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### Table 1. Singular Values

"... In PAGE 8: ... The L-curve method is reliable and simple and is implemented to choose the regularization parameter. The singular values for the ill-posed problem of drift detection are given in Table1 . It should be noted that there is only one significant singular value (4.... ..."

### Table 4: Evaluation of ill-posedness of the 61 primal ill-posed instances in the NETLIB suite (prior to pre-processing by CPLEX 7.1). Indication Number of Instances

2003

"... In PAGE 19: ... We examined the optimal solutions of (11) for the 61 primal ill-posed LPs in the NETLIB suite in order to evaluate the causes of the ill-posedness among these LPs. Table4 summarizes our findings, which show that for at least 34% of the primal ill-posed problem instances there are linear dependencies among the equations of (4). Table 4: Evaluation of ill-posedness of the 61 primal ill-posed instances in the NETLIB suite (prior to pre-processing by CPLEX 7.... ..."

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### Table 4: Evaluation of ill-posedness of the 61 primal ill-posed instances in the NETLIB suite (prior to pre-processing by CPLEX 7.1). Indication Number of Instances

2003

"... In PAGE 19: ... We examined the optimal solutions of (11) for the 61 primal ill-posed LPs in the NETLIB suite in order to evaluate the causes of the ill-posedness among these LPs. Table4 summarizes our findings, which show that for at least 34% of the primal ill-posed problem instances there are linear dependencies among the equations of (4). Table 4: Evaluation of ill-posedness of the 61 primal ill-posed instances in the NETLIB suite (prior to pre-processing by CPLEX 7.... ..."

### Table 7: Evaluation of ill-posedness of the 16 primal ill-posed instances in the NETLIB suite after Pre-Processing by CPLEX 7.1. Indication Number of Instances

2003

"... In PAGE 20: ... We also examined the optimal solutions of (11) for the 16 primal ill-posed post-processed problems in the NETLIB suite in order to evaluate the causes of the ill-posedness among these post-processed problem instances. Table7 summarizes our findings, which shows that all of the ill-posed post-processed LP instances have implied reverse inequalities among the inequalities and/or lower/upper bounds. Table 5: Condition Measures for the NETLIB Suite after Pre-Processing by CPLEX 7.... ..."

Cited by 10

### Table 7: Evaluation of ill-posedness of the 16 primal ill-posed instances in the NETLIB suite after Pre-Processing by CPLEX 7.1. Indication Number of Instances

2003

"... In PAGE 20: ... We also examined the optimal solutions of (11) for the 16 primal ill-posed post-processed problems in the NETLIB suite in order to evaluate the causes of the ill-posedness among these post-processed problem instances. Table7 summarizes our findings, which shows that all of the ill-posed post-processed LP instances have implied reverse inequalities among the inequalities and/or lower/upper bounds. Table 5: Condition Measures for the NETLIB Suite after Pre-Processing by CPLEX 7.... ..."

### Table 1: Assumptions in computer vision: Natural constraints (N), physical constraints (P) and synthetic constraints (S).

1997

"... In PAGE 4: ...Table 1: Assumptions in computer vision: Natural constraints (N), physical constraints (P) and synthetic constraints (S). surface smoothness) which are used to convert the ill-posed problem of vision to a well-posed problem (see Table1 (7)). Even well-posed problems may turn out to be computationally in- tractable because of the iterative algorithms used today to solve them (e.... ..."

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### Table 1 List of 24 variables used as predictor variables to evaluate feedwater flow.

2001

"... In PAGE 5: ...2 Instability of inferential sensing for feedwater flow evaluation To demonstrate the difficulties caused by ill-posed problems, twenty-four variables were selected as predictor variables. These variables are listed in Table1 . These variables were selected based on engineering judgement and on their high correlation with feedwater flow.... ..."

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### Table 1 List of 24 variables used as predictor variables to evaluate feedwater flow. Var. Num. Description Range Units

2001

"... In PAGE 5: ...2 Instability of inferential sensing for feedwater flow evaluation To demonstrate the difficulties caused by ill-posed problems, twenty-four variables were selected as predictor variables. These variables are listed in Table1 . These variables were selected based on engineering judgement and on their high correlation with feedwater flow.... ..."

Cited by 5