Uncertainty Quantification and Stochastic Modeling with MATLAB (Hardcover)

1. ELEMENTS OF PROBABILITY THEORY AND STOCHASTIC PROCESSES
2. MAXIMUM ENTROPY AND INFORMATION
3. REPRESENTATION OF RANDOM VARIABLES
4. LINEAR ALGEBRAIC EQUATIONS UNDER UNCERTAINTY
5. NONLINEAR ALGEBRAIC EQUATIONS INVOLVING RANDOM PARAMETERS
6. DIFFERENTIAL EQUATIONS UNDER UNCERTAINTY
7. OPTIMIZATION UNDER UNCERTAINTY
8. RELIABILITY-BASED OPTIMIZATION