% Optimization Toolbox % Version 3.0.2 (R14SP2) 21-Jan-2005 % % Nonlinear minimization of functions. % fminbnd - Scalar bounded nonlinear function minimization. % fmincon - Multidimensional constrained nonlinear minimization. % fminsearch - Multidimensional unconstrained nonlinear minimization, % by Nelder-Mead direct search method. % fminunc - Multidimensional unconstrained nonlinear minimization. % fseminf - Multidimensional constrained minimization, semi-infinite % constraints. % % Nonlinear minimization of multi-objective functions. % fgoalattain - Multidimensional goal attainment optimization % fminimax - Multidimensional minimax optimization. % % Linear least squares (of matrix problems). % lsqlin - Linear least squares with linear constraints. % lsqnonneg - Linear least squares with nonnegativity constraints. % % Nonlinear least squares (of functions). % lsqcurvefit - Nonlinear curvefitting via least squares (with bounds). % lsqnonlin - Nonlinear least squares with upper and lower bounds. % % Nonlinear zero finding (equation solving). % fzero - Scalar nonlinear zero finding. % fsolve - Nonlinear system of equations solve (function solve). % % Minimization of matrix problems. % bintprog - Binary integer (linear) programming. % linprog - Linear programming. % quadprog - Quadratic programming. % % Controlling defaults and options. % optimset - Create or alter optimization OPTIONS structure. % optimget - Get optimization parameters from OPTIONS structure. % % Demonstrations of large-scale methods. % circustent - Quadratic programming to find shape of a circus tent. % molecule - Molecule conformation solution using unconstrained nonlinear % minimization. % optdeblur - Image deblurring using bounded linear least-squares. % % Demonstrations of medium-scale methods. % tutdemo - Tutorial walk-through. % goaldemo - Goal attainment. % dfildemo - Finite-precision filter design (requires Signal Processing % Toolbox). % datdemo - Fitting data to a curve. % officeassign - Binary integer programming to solve the office assignment % problem. % % Medium-scale examples from User's Guide % objfun - nonlinear objective % confun - nonlinear constraints % objfungrad - nonlinear objective with gradient % confungrad - nonlinear constraints with gradients % confuneq - nonlinear equality constraints % optsim.mdl - Simulink model of nonlinear plant process % optsiminit - init file for optisim.mdl % runtracklsq - demonstrates multiobjective function using LSQNONLIN % runtrackmm - demonstrates multiobjective function using FMINIMAX % % Large-scale examples from User's Guide % nlsf1 - nonlinear equations objective with Jacobian % nlsf1a - nonlinear equations objective % nlsdat1 - MAT-file of Jacobian sparsity pattern (see nlsf1a) % brownfgh - nonlinear minimization objective with gradient and Hessian % brownfg - nonlinear minimization objective with gradient % brownhstr - MAT-file of Hessian sparsity pattern (see brownfg) % tbroyfg - nonlinear minimization objective with gradient % tbroyhstr - MAT-file of Hessian sparsity pattern (see tbroyfg) % browneq - MAT-file of Aeq and beq sparse linear equality constraints % runfleq1 - demonstrates 'HessMult' option for FMINCON with equalities % brownvv - nonlinear minimization with dense structured Hessian % hmfleq1 - Hessian matrix product for brownvv objective % fleq1 - MAT-file of V, Aeq, and beq for brownvv and hmfleq1 % qpbox1 - MAT-file of quadratic objective Hessian sparse matrix % runqpbox4 - demonstrates 'HessMult' option for QUADPROG with bounds % runqpbox4prec - demonstrates 'HessMult' and TolPCG options for QUADPROG % qpbox4 - MAT-file of quadratic programming problem matrices % runnls3 - demonstrates 'JacobMult' option for LSQNONLIN % nlsmm3 - Jacobian multiply function for runnls3/nlsf3a objective % nlsdat1 - MAT-file of problem matrices for runnls3/nlsf3a objective % runqpeq5 - demonstrates 'HessMult' option for QUADPROG with equalities % qpeq5 - MAT-file of quadratic programming matrices for runqpeq5 % particle - MAT-file of linear least squares C and d sparse matrices % sc50b - MAT-file of linear programming example % densecolumns - MAT-file of linear programming example % % Internally Used Utility Routines % % Large-scale preconditioners % aprecon - default banded preconditioner for least-squares problems % hprecon - default banded preconditioner for minimization problems % pceye - diagonal preconditioner based on scaling matrices % % Large-scale utility routines % fzmult - Multiplication with fundamental nullspace basis % gangstr - Zero out 'small' entries subject to structural rank % % Cubic interpolation routines % cubic - interpolates four points to find the maximum value % cubici1 - interpolates 2 pts and gradients to estimate minimum % cubici2 - interpolates 3 points and 1 gradient % cubici3 - interpolates 2 pts and gradients to find step and min % % Quadratic interpolation routines % quad2 - interpolates three points to find the maximum value % quadi - interpolates three points to estimate minimum % % Demonstration utility routines % elimone - eliminates a variable (used by dfildemo) % filtobj - frequency response norm (used by dfildemo) % filtcon - frequency response roots (used by dfildemo) % fitfun - return error norm in fitting data (used by datdemo) % fitfun2 - return vector of errors in fitting data (used by datdemo) % tentdata - MAT-file of data for circustent demo % optdeblur - MAT-file of data for optdeblur demo % molecule - MAT-file of data for molecule demo % mmole - molecular distance problem (used by molecule demo) % bandem - banana function minimization demonstration % plotdatapoints - helper plotting function (used by datdemo) % fitfun2outputfcn - output function (used by datdemo) % % Semi-infinite utility routines % semicon - translates semi-infinite constraints to constrained problem % findmax - interpolates the maxima in a vector of data % findmax2 - interpolates the maxima in a matrix of data % v2sort - sorts two vectors and then removes missing elements % % Goal-attainment utility routines % goalfun - translates goal-attainment problem to constrained problem % goalcon - translates constraints in goal-attainment problem % % Other % color - column partition for sparse finite differences % graderr - used to check gradient discrepancy % searchq - line search routine for fminu and leastsq functions % sfd - sparse Hessian via finite gradient differences % sfdnls - sparse Jacobian via finite differences % optimoptions - display option names and values for the options in the % Optimization Toolbox but not in MATLAB % optimoptioncheckfield - check validity of field contents % optimoptiongetfields - fieldnames of options in Optimization Toolbox not in MATLAB % Copyright 1990-2005 The MathWorks, Inc. % Generated from Contents.m_template revision 1.50.4.6 $Date: 2004/04/20 23:19:15 $