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journal article EST
/
journal article ENG
Some approximate Gauss–Newton-type methods for nonlinear ill-posed problems
Kangro, Inga
;
Kangro, Raul
;
Vaarmann, Otu
Proceedings of the Estonian Academy of Sciences
2013
/
p. 227-237
https://artiklid.elnet.ee/record=b2651797*est
https://doi.org/10.3176/proc.2013.4.03
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keyword
118
1.
approximate methods
2.
approximate arithmetic design
3.
Approximate computing
4.
approximate multiplication and addition
5.
approximate multipliers
6.
ab-initio methods
7.
active learning methods
8.
algebraic methods
9.
algebraic/geometric methods
10.
an ensemble of compression methods
11.
analysis methods
12.
analytical methods
13.
approximation methods
14.
assessment methods
15.
Backstepping methods
16.
biology experimental methods
17.
calculation methods
18.
casting methods
19.
Cesaro methods
20.
chemometric methods
21.
computational design methods
22.
computational methods
23.
computer aided methods
24.
computer vision-based methods
25.
control methods
26.
decontamination methods
27.
deep learning methods
28.
Design and assessment methods
29.
design methods
30.
detection methods
31.
diagnostics methods
32.
didactic methods
33.
digital methods
34.
direct methods
35.
electronic structure methods
36.
ensemble methods
37.
Euler-Knopp methods
38.
excavation methods
39.
extraction and detection methods
40.
finite-element (FE) methods
41.
finite-element methods
42.
finite-element methods (FEM)
43.
finite-element methods (FEMs)
44.
flow assessment methods
45.
formal methods
46.
frontier methods
47.
Gauss-Newton-type methods
48.
Gauss–Newton-type methods
49.
generalized Nörlund methods
50.
geometric methods
51.
graphic methods
52.
hybrid methods
53.
integration methods
54.
interaction methods
55.
interactive teaching methods
56.
interpretation methods
57.
invasive methods
58.
inverse methods
59.
inverse methods for engineering applications
60.
linear and nonlinear unsupervised methods
61.
material characterization methods
62.
Mathematical methods
63.
matrix methods
64.
methods
65.
Methods of Classification
66.
methods of measuring
67.
methods of study
68.
methods: data analysis
69.
Methods: statistical
70.
mixed methods
71.
mixed-methods
72.
model-free methods
73.
modulation methods
74.
Monte Carlo methods
75.
multi-criteria decision-making methods
76.
nearest neighbor methods
77.
numerical methods
78.
optic methods
79.
optimization methods
80.
outlier’s detection methods
81.
physico-chemical methods
82.
phytoplankton detection methods
83.
plan-driven methods
84.
polynomial methods
85.
practical teaching methods
86.
prediction methods
87.
pseudospectral methods
88.
qualitative methods
89.
qualitative research methods
90.
quantitative methods
91.
regular matrix methods
92.
research methods
93.
reversal methods
94.
sampling methods
95.
selection methods
96.
separation methods
97.
shootthrough control methods
98.
shoot-through control methods
99.
stability prediction methods
100.
standardized methods
101.
state space methods
102.
Statistical methods
103.
statistics methods
104.
substation testing methods
105.
Taguchi methods
106.
teaching methods
107.
testing methods
108.
timber construction (construction methods)
109.
tracer gas methods
110.
transmission line matrix methods
111.
Tree-based methods
112.
variational methods
113.
verification methods
114.
visual methods
115.
visualization design and evaluation methods
116.
X-ray methods
117.
X-ray methods B
118.
finite element methods
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