, The continuous, marked, lines show the mean condition number (1.4.10) over 100 repetitions. The dashed lines show the mean (1.4.10) plus one standard deviation (1.4.11), Condition number (1.4.9), p.34
, The continuous, marked, lines show the mean condition number (1.4.10) over 100 repetitions. The dashed lines show the mean (1.4.10) plus one standard deviation (1.4.11), Condition number (1.4.9), p.34
, The continuous, marked, lines show the mean condition number (1.4.10) over 100 repetitions. The dashed lines show the mean (1.4.10) plus one standard deviation (1.4.11), Condition number (1.4.9), p.35
, The continuous, marked, lines show the mean condition number (1.4.10) over 100 repetitions. The dashed lines show the mean (1.4.10) plus one standard deviation (1.4.11), Condition number (1.4.9), p.35
, Left: condition number (1.4.9) Right: approximation error (1.4.6) for the function (3.5.4). The continuous marked lines show the mean error over 100 repetitions. The dashed lines show the mean error plus one standard deviation, p.79
, #?) 2 . Left: approximation error (1.4.6) for the function (3.5.6) Right: approximation error (1.4.6) for the function (3.5.1). The continuous marked lines show the mean error over 100 repetitions. The dashed lines show the mean error plus one standard deviation, p.79
, Condition number (1.4.9) Left: M = c · (#?) #?/2 . Right: M = c · (#?) #?/3 . The continuous marked lines show the mean error over 1000 repetitions. The dashed lines show the mean error plus one standard deviation, p.80
, Left: condition number (1.4.9) Right: approximation error (1.4.6) for the function (3.5.1). The continuous marked lines show the mean error over 1000 repetitions. The dashed lines show the mean error plus one standard deviation, p.80
, Approximation error (1.4.6) for the target functions (3.5.2) and (3.5.3). The continuous marked lines show the mean error over 1000 repetitions. The dashed lines show the mean error plus one standard deviation, p.81
, Approximation error (1.4.6) for nonsmooth target functions (3.5.4), (3.5.5). The continuous marked lines show the mean error over 1000 repetitions. The dashed lines show the mean error plus one standard deviation, p.81
, Condition number (1.4.9) averaged over 1000 repetitions, p.82
, Top-left: mean condition number (1.4.9) Top-right: approximation error (1.4.6) for the function (3.4.2) with ? = 0.5. Bottom-left: approximation error (1.4.6) for the function (3.4.5) Bottom-right: approximation error (1.4.6) for the function (3.4.4). The continuous marked lines show the mean error over 1000 repetitions. The dashed lines show the mean error plus one standard deviation, p.85
, Top: Tikhonov regularization: ? = 5 × 10 ?1 (left), ? = 5 × 10 ?2 (center), ? = 5 × 10 ?3 (right) Bottom: Picard criterion, pp.50-127
, Top: Tikhonov regularization with ? = 5 × 10 ?3 (left), ? = 10 ?3 (center), ? = 5 × 10 ?4 (right) Bottom: Picard criterion, pp.50-128
, Top: Tikhonov regularization with ? = 5 × 10 ?2 (left), ? = 10 ?2 (center), ? = 5 × 10 ?3 (right) Bottom: Picard criterion, pp.50-129
, Tikhonov regularization: ? = 5 × 10 ?2 (left), ? = 10 ?2 (center), ? = 5 × 10 ?3 (right) Picard criterion, m = 10 (left), m = 25 (center), m = 50 (right), p.131
, Tikhonov regularization, ? = 5×10 ?2 (left), ? = 10 ?2 (center), ? = 5 × 10?3 (right) Picard criterion, m = 10 (left), m = 25 (center), m = 50 (right), p.132
, Isolines of C(?) in [C 0.5 min , C max ] Left: Tikhonov regularization, ? = 10 ?1 . Center: Tikhonov regularization, ? = 5 × 10 ?2, p.132
, Isolines of C(?) in [C 0.5 min , C max ]. Left: Tikhonov regularization, ? = 5 × 10 ?1 . Right: Picard criterion, m = 10, p.132
, Isolines of C(?) Left: Tikhonov regularization, ? = 5 × 10 ?3 . Center: Tikhonov regularization, ? = 10 ?3 . Right: Picard criterion, m = 25, p.133
, Isolines of C(?) Left: Tikhonov regularization, ? = 5 × 10 ?3 . Center: Tikhonov regularization, ? = 10 ?3 . Right: Picard criterion, m = 25, p.134
, Isolines of C(?) in [C 0.7 min , C max ]. Left: Tikhonov regularization
, Isolines of C(?) in [C 0.7 min , C max ]. Left: Tikhonov regularization, ? = 10 ?1 . Right: Picard criterion, p.134
, Test case II, ? = 5×10 ?2 (top-right) Test case IIIa, ? = 10 ?1 (bottom-left) Test case VI, ? = 10 ?2 (bottom-right), pp.10-12
, Tikhonov regularization, ? = 5 × 10 ?3 . Left: 0.1% noise. Right: 1% noise, p.136
, Tikhonov regularization, ? = 5 × 10 ?4 . Left: 0.1% noise. Right: 1% noise, p.136
, Tikhonov regularization, ? = 5 × 10 ?2 . Left: 0.1% noise. Right: 1% noise, p.137
, Tikhonov regularization, ? = 10 ?1 Left: 0.1% noise. Right: 1% noise, p.137
, Tikhonov regularization, ? = 10 ?3 Left: 0.1% noise. Right: 1% noise, p.137
, Bottom-right, p.143
, Right: same as left but in log?log scale, Left: Condition number, p.164
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