COSSAN Wiki:Books/Theory Manual

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Theory Manual

Approximate Reliability Analysis Methods
Availability
Beta distribution
Boolean Algebra
COBYLA
Crack propagation models using fracture mechanics approach
Cross Entropy
Cut Sets
Design of Experiments
Design point
Discretization of Random Fields
Distributed computing
Dynamics
Eigenvalue, eigenvector and eigenspace
Evolution Strategy
Failure
Fatigue and Fracture
Fault Tree
Fault Tree Analysis
FORM
Frequency domain analysis
Gamma distribution
Genetic Algorithms
Global Sensitivity
GP-GPU
Gradient Estimation
Halton Sampling
Importance sampling
Introduction
Job Manager
Latin Hypercube Sampling
Line sampling
Linear elastic fracture mechanics
Local Sensitivity
Markov Chains
Mean Time Between Failures
Meta-Models
Mode based Meta-model
Monte Carlo Gradient Estimation
Monte Carlo simulation
Nataf Model
Nataf transformation
Neumann Expansion Method
Neural Network
Non-parametric model
Optimization
Overview/Status
Parallel computing
Performance function definition
Perturbation Method
Polyharmonic spline
Polynomial Chaos (P-C) Expansion Method
Random fields
Random process
Random variable sets
Random variables
RBO using Global Response Surface
RBO using Local Response Surface
Reliability Based Optimization
Reliability Block Diagram
Reliability index
Representation of Non-Gaussian Random Fields
Response surface
Safety Margin
Sensitivity
Simulated Annealing
Simulation methods
Sobol indices
Sobol Sampling
SORM
Spectral Representation Method
SQP
Standard Normal Space
Stochastic Finite Element Methods
Subset simulation
System Reliability Analysis
Time domain analysis
Uncertainty Analysis