Page 477 - Numerical Methods for Chemical Engineering
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466     Index



                   Chemical reactor modeling (cont.)    Danckwert’s boundary condition 280
                      fitting rate constant and generating CI from  Debye screening length 314
                       dynamic reactor data 402         Delaunay tessellation 303
                      fitting rate constant to multiresponse kinetic data  MATLAB delaunay 303
                       418–419                           MATLAB delaunayn 303
                      MCMC analysis of elementary reaction  Design matrix 377, 389
                       hypothesis 411                   Determinant 32
                      MCMC generation of CI for rate constant from  as product of eigenvalues 110
                       multiresponse data 420–421        expansion by minors 34
                      MCMC rate constant fitting and CI generation  general formula 33
                       from composite data set 422–426   MATLAB det 57
                    Example. heterogeneous catalysis in a packed bed  numerical calculation 35, 57
                       reactor 199–202                   properties 34–35
                    Example. modeling a tubular chemical reactor with  Diffusion Limited Aggregation (DLA) 366
                       dispersion 279–282               Dirac delta function 339
                    Example. multiple steady states in a nonisothermal  Dirichlet boundary condition 260
                       CSTR 204–206                     Dirichlet’s theorem 436
                    Example. optimal steady-state design of CSTR  Discrete probability distribution 325
                       244–245                          Dispersion 279
                    Example. steady-state CSTR for polycondensation  Divergence theorem 259, 307
                       89–94                            Divided differences 159
                    Example. steady-state CSTR with two reactions  Dogleg method 225–227
                       71–72, 85, 88–89                 Dot (inner, scalar) product
                    Example. stochastic modeling of polymer chain  complex vectors 7
                       length distribution 318–321       real vectors 5
                    Example. stochastic modeling of polymer gelation  Dynamic programming (see also Optimal control)
                       321–325                              248–251
                    Macosko-Miller method 322           Dynamical systems
                    Michaelis-Menten kinetics 58         dynamical stability 169–174
                    Thiele modulus 266                   Jacobian matrix 172
                   Cholesky factorization 42             numerical simulation (see also Initial value
                    algorithm 43                            problems) 154–208
                    incomplete Cholesky factorization 290  Quasi-Steady State Approximation 183
                    MATLAB chol 43, 57                   state vector 155
                    MATLAB cholinc 291                   steady states 170, 174, 175, 204
                   Complementarity condition 238         stiffness 180
                   Complex numbers                       time-dependent PDEs 282
                    conjugate 3, 7
                    dot (inner, scalar) product 7       Effectiveness factor 269
                    matrices 10                         Eigenvalue analysis 104–149
                    modulus 3                            characteristic polynomial 106
                    Euler formula 3                      characteristic value 106
                    vectors 7                            characteristic vector 106
                   Condition number 113                  condition number 113
                    MATLAB cond, condest 113             determinant 110
                   Conditional probability 321           diagonalizable matrix 118
                   Conjugate Gradient (CG) method 218–223,  differential equation eigenvalue problem
                       286–287                              138
                    linear algebraic systems 286–287     dynamic stability 171, 172
                    MATLAB pcg 223, 285                  eigenvalue 104, 106
                    performance for quadratic cost functions  eigenvector 104, 106
                       220–223                             expansion of arbitrary vector 122
                   Constitutive equation 259             Example. quantum states of a 1-D system
                   Continuous probability distribution 326  137–141
                   Control volume 258                    Example. stability of steady states of nonlinear
                   Convolution (see Fourier analysis)       dynamic system 172–175
                   Correlation (see Fourier analysis)    existence and uniqueness of solutions to linear
                   Cost function 212                        systems 110
                   Covariance 336                        generalized eigenvalue problem 136
                    matrix 337                           Gershgorin’s theorem 112
                   Crank-Nicholson method 176            Hermetian matrix 119
                   Credible (Confidence) Interval (CI) 397  multiplicity 110
                   Cumulative probability distribution 327  normal mode analysis 134
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