国际不确定性的量化期刊
每年出版 6 期
ISSN 打印: 2152-5080
ISSN 在线: 2152-5099
IF:
1.7
5-Year IF:
1.9
Immediacy Index:
0.5
Eigenfactor:
0.0007
JCI:
0.5
SJR:
0.584
SNIP:
0.676
CiteScore™::
3
H-Index:
25
Indexed in
卷 10, 2020 册 3
DOI: 10.1615/Int.J.UncertaintyQuantification.v10.i3
GOAL-ORIENTED MODEL ADAPTIVITY IN STOCHASTIC ELASTODYNAMICS: SIMULTANEOUS CONTROL OF DISCRETIZATION, SURROGATE MODEL AND SAMPLING ERRORS
pp. 195-223
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031735
HYPERDIFFERENTIAL SENSITIVITY ANALYSIS OF UNCERTAIN PARAMETERS IN PDE-CONSTRAINED OPTIMIZATION
pp. 225-248
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032480
REPLICATION-BASED EMULATION OF THE RESPONSE DISTRIBUTION OF STOCHASTIC SIMULATORS USING GENERALIZED LAMBDA DISTRIBUTIONS
pp. 249-275
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033029
MODEL CALIBRATION FOR DETONATION PRODUCTS: A PHYSICS-INFORMED, TIME-DEPENDENT SURROGATE METHOD BASED ON MACHINE LEARNING
pp. 277-296
DOI: 10.1615/Int.J.UncertaintyQuantification.2020032977
最新一期
将发表的论文
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models