What Is Optimization Toolbox?

lsqnonnegPurposeEquationSolve nonnegative least-squares constraint problemSolves nonnegative least-squares curve fitting problems of the formwhere the matrix C and the vector d are the coefficients of the objectivefunction. The vector, x, of independent variables is restricted to benonnegative.SyntaxDescriptionx = lsqnonneg(C,d)x = lsqnonneg(C,d,x0)x = lsqnonneg(C,d,x0,options)[x,resnorm] = lsqnonneg(...)[x,resnorm,residual] = lsqnonneg(...)[x,resnorm,residual,exitflag] = lsqnonneg(...)[x,resnorm,residual,exitflag,output] = lsqnonneg(...)[x,resnorm,residual,exitflag,output,lambda] = lsqnonneg(...)x = lsqnonneg(C,d) returns the vector x that minimizes norm(C*x-d)subject to x >= 0. C and d must be real.x = lsqnonneg(C,d,x0) uses x0 as the starting point if all x0 >= 0;otherwise, the default is used. The default start point is the origin (thedefault is also used when x0==[] or when only two input argumentsare provided).x = lsqnonneg(C,d,x0,options) minimizes with the optimizationoptions specified in the structure options. Useoptimset to set theseoptions.[x,resnorm] = lsqnonneg(...) returns the value of the squared2-norm of the residual, norm(C*x-d)^2.[x,resnorm,residual] = lsqnonneg(...) returns the residualC*x-d.[x,resnorm,residual,exitflag] = lsqnonneg(...) returns a valueexitflag that describes the exit condition of lsqnonneg.8-179