Page 512 - Applied Numerical Methods Using MATLAB
        P. 512
     SUBJECT INDEX  501
            Legendre polynomial, 236          P
            length of arc/curve, 257          Pade approximation, 129, 160
            limit, 483                        parabolic PDE, 406, 410, 412, 414, 430, 438,
            linear equation, 71, 79               449
            linear programming (LP), 355, 361   two-dimensional PDE, 412
            logical operator, 25              parallelepiped, 389
            loop, 26                          parallelogram, 388
            loop iteration, 39                parameter passing through VARARGIN, 45
            Lorenz equation, 297              parameter sharing via GLOBAL, 44
            loss of significance, 31, 32       partial differential equation (PDE), 401
            LSE (least squares error), 75     partial pivoting, 81,85,105
            LU decomposition (factorization), 92  path, 1
                                              PDE mode, 434
            M                                 PDEtool, 429–431, 435, 456
            mantissa field, 28                 penalty, 346–349, 362, 366
            mat-file, 2                        permutation, 94, 467
            mathematical functions, 10        persistent excitation, 169
            matrix, 15, 463                   physical meaning of eigenvalues and
            matrix inversion lemma, 78, 469       eigenvectors, 385
            mean value theorem, 461           pivoting, 85–88, 105–106
            mesh, 11, 48, 49, 431–444         plot, 6–11
            midpoint rule, 222                Plot mode, 440
            minimum-norm solution, 73         Polak-Ribiere (PR) method, 332, 333
            mixed boundary condition, 287, 306, 308  polynomial approximation, 124
            modal matrix, 373–376             polynomial curve fitting by least squares, 146,
            mode, 285, 377–378, 386, 432, 434     169
            modification formula, 272, 274     polynomial wiggle, 124
            mu law, mu-inverse law, 53, 335   positive definite, 468
                                              predictor/corrector errors, 272
            N                                 projection operator, 74
            negligible addition, 31           pseudo (generalized) inverse, 17, 73, 76
            Nelder-Mead Algorithm, 325
            nested computing, 38, 121         Q
            nested (calling) routine, 40      QR decomposition (factorization), 97, 392–396
            Neumann boundary condition, 404, 431, 447,  quadratic approximation method, 323–325
               448, 451                       quadratic interpo1ation, 157
            Newton method, 186, 188, 191, 330, 332  quadratically convergent, 188
            Newton polynomial, 119            quadrature, 222, 231, 234
            nonlinear BVP, 312                quantization error, 63, 212
            nonlinear least squares (NLLS), 352  quenching factor, 335
            nonnegative least squares (NLS), 355
            norm, 58                          R
            normal (Gaussian) distribution, 24  rank, 467
            normalized range, 29              recursive, 40, 66, 176, 201, 228, 231
            null space, 73, 467               recursive least square estimation (RLSE), 76,
            numerical differentiation, 209, 244   104
            numerical integration, 222, 247, 249  redundancy, 83, 85
                                              regula falsi, 185
            O                                 relational operators, 25
            on-line recursive computation of DFT, 176  relative error, 33
            orthogonal, 382, 395, 466         relaxation, 104, 115
            orthonormal, 382, 385             reserved constants/variables, 13
            over-determined, 75               Richardson’s extrapolation, 211, 216
            overflow, 34, 64                   RLSE (Recursive Least Squares Estimation), 76
     	
