Max Line search Directional First-order Iter F-count f(x) constraint steplength derivative optimality Procedure 0 2 0.64 -0.2 1 4 0.25 4.684e-12 1 -1.6 0.3 Local minimum found that satisfies the constraints. Optimization completed because the objective function is non-decreasing in feasible direc...
message: '↵Local minimum found.↵↵Optimization completed because the size of the gradient is less than↵the value of the optimality tolerance.↵↵<stopping criteria details>↵↵Optimization completed: The first-order optimality measure, 7.685279e-07, is less ↵than options.OptimalityT...
输出内容中,iteration为迭代次数,func-count为函数的总调用次数,f(x)为函数值的一个性质(暂时还没搞清楚是啥,毕竟二维映射不可能只有一个值),Norm of step应当是迭代步长(相邻迭代点间隔)的范数(模长),first order optimality 一阶优化条件,最终迭代是否终止的判据就是一阶优化条件是否足够接近零。绘图可以看出,...
输出内容中,iteration为迭代次数,func-count为函数的总调用次数,f(x)为函数值的一个性质(暂时还没搞清楚是啥,毕竟二维映射不可能只有一个值),Norm of step应当是迭代步长(相邻迭代点间隔)的范数(模长),first order optimality 一阶优化条件,最终迭代是否终止的判据就是一阶优化条件是否足够接近零。绘图可以看出,...
DirectionalFirst-orderIterF-countf(x)constraint Step-sizederivativeoptimalityProcedure03 -81Infe asiblestartpoint17-7.70370.06173 10.370.83211-7.677250.0003061 10.02680.0149315-7.677127.68 2e-00910.0001347.35e-007Optimizationtermina ted:first-orderoptimalitymeasurelessthanoptions.TolFunandmaximumconstraintviolat...
terminated: first-order optimality is less than options.TolFun.x = 8.5000 0.5000 Optimization terminated: first-order optimality is less than options.TolFun.x = 9.5000 0.5000 Optimization terminated: first-order optimality is less than options.TolFun.x = 10.5000 0.5000 ...
参考代码：>> Pt=10;Pr=1;Ar=1;Ke=1;>> x=fsolve(@(x)-x^2+Pr*Ar*exp(-Ke*x)/(4*3.14*Pr*x^2),1)Optimization terminated: first-order optimality is less than options.TolFun.x = 0.4721
First-order optimality measure小于thanoptions.OptimalityTolerance,并且maximum constraint violation小于thanoptions.ConstraintTolerance 在实验中发现,返回的exitflag是0时(表示超过最大迭代数),大部分的非线性约束的不等式的值小于0,部分等于0,其实已经满足的条件,但是程序仍然进行迭代运算,直到超过最大迭代数,而且后期每...
% 1 First order optimality conditions satisfied. % 0 Too many function evaluations or iterations. % -1 Stopped by output/plot function. % -2 No feasible point found. % Trust-region-reflective, interior-point, and sqp: % 2 Change in X too small. ...
order optimality is less than options.TolFun.x = 0.2326 0.0565f = 1.0e-006 * 0.0908 0.1798h = 1x,f,h=fsolve(fun,0,0)fun=(x)(4*x(1)-x(2)+exp(x(1)/10-1, -x(1)+4*x(2)+x(1)2/8) ;%匿名函数x,f,h=fsolve(fun,0,0)Optimization terminated: first-order optimality is ...