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Separate each name and value, and enclose Name in quotes. Example: solve(prob,'Options',opts)MinNumStartPoints — Minimum number of start points for MultiStart 20 (default) | positive integer Minimum number of start points for MultiStart (Global Optimization Toolbox), specified as a positive integer. This argument applies only when you call solve using the ms argument. solve uses all of the values in x0 as start points. If MinNumStartPoints is greater than the number of values in x0, then solve generates more start points uniformly at random within the problem bounds. If a component is unbounded, solve generates points using the default artificial bounds for MultiStart. Example: solve(prob,x0,ms,MinNumStartPoints=50) Data Types: doubleOptions — Optimization options object created by optimoptions | options structure Optimization options, specified as an object created by optimoptions or an options structure such as created by optimset. Internally, the solve function calls a relevant solver as detailed in the 'solver' argument reference. Ensure that options is compatible with the solver. For example, intlinprog does not allow options to be a structure, and lsqnonneg does not allow options to be an object. For suggestions on options settings to improve an intlinprog solution or the speed of a solution, see Tuning Integer Linear Programming. For linprog, the default 'dual-simplex' algorithm is generally memory-efficient and speedy. Occasionally, linprog solves a large problem faster when the Algorithm option is 'interior-point'. For suggestions on options settings to improve a nonlinear problem's solution, see Optimization Options in Common Use: Tuning and Troubleshooting and Improve Results. Example: options = optimoptions('intlinprog','Display','none') Solver — Optimization solver 'intlinprog' | 'linprog' | 'lsqlin' | 'lsqcurvefit' | 'lsqnonlin' | 'lsqnonneg' | 'quadprog' | 'fminbnd' | 'fminunc' | 'fmincon' | 'fminsearch' | 'fzero' | 'fsolve' | 'coneprog' | 'ga' | 'gamultiobj' | 'paretosearch' | 'patternsearch' | 'particleswarm' | 'surrogateopt' | 'simulannealbnd' Optimization solver, specified as the name of a listed solver. For optimization problems, this table contains the available solvers for each problem type, including solvers from Global Optimization Toolbox. Details for equation problems appear below the optimization solver details. For converting nonlinear problems with integer constraints using prob2struct, the resulting problem structure can depend on the chosen solver. If you do not have a Global Optimization Toolbox license, you must specify the solver. See Integer Constraints in Nonlinear Problem-Based Optimization. The default solver for each optimization problem type is listed here. Problem TypeDefault SolverLinear Programming (LP)linprogMixed-Integer Linear Programming (MILP)intlinprogQuadratic Programming (QP)quadprogSecond-Order Cone Programming (SOCP)coneprogLinear