(objective, initial_guess, [], [], [], [], lb, ub, nonlcon, options); % Calculate cost for current optimal_x0 cost_func_result = objective_function(params_result, optimal_breakpoints, x_data, y_data); % Update optimal parameters if a lower cost is found if cost_func_result < ...
function [f,g] = rosenbrockwithgrad(x) % Calculate objective f f = 100*(x(2) - x(1)^2)^2 + (1-x(1))^2; if nargout > 1 % gradient required g = [-400*(x(2)-x(1)^2)*x(1) - 2*(1-x(1)); 200*(x(2)-x(1)^2)]; end end 运行结果 First-order Iteration Func...
approximate 近似 arbitrary 强制性的 argument 变量 attainment factor 达到因子 B组4个 bandwidth 带宽 be equivalent to 等价于 best-fit 最佳拟合 bound 边界 C组11个 coefficient 系数 complex-value 复数值 component 分量 constant 常数 constrained 有约束的 constraint 约束 constraint function 约束函数 continuous...
Set the objective function fun to be Rosenbrock's function. fun = @(x)100*(x(2)-x(1)^2)^2 + (1-x(1))^2; Find the minimum value starting from the point [0.5,0], constrained to have x(1)+2x(2)≤1 and 2x(1)+x(2)=1. Express the linear inequality constraint in the ...
matlab关于fsolve解方程组的问题？题主编写的代码基本正确，但执行下列命令时，出现错误“Objective function is returning undefined values at initial point. FSOLVE cannot continue.”。分析方程组的第一个方程，由于当x、y、z的初值为0，则 ln（0）是不存在的，所以使用fsolve求解方程组就停止执行并...
并通过设置约束条件、目标函数等参数来进行优化求解。fmincon求解非线性约束问题下面举个例子。求函数在满足约束：的最小值点。首先，是非线性的。因为只有两个变量，我们先可视化函数图像： 可以看出确实存在最小值。下面利用 Matlab优化工具箱中的fmincon函数求解此最小值点。首先我们写一个function文件，给...
Objective function is returning undefined values at initial point. FSOLVE cannot continue.意思是“目标函数在初值处返回了未定义值，FSOLVE 无法继续进行。”你自己写的 @f2 可能是错的，或者你传的 x0 是不对的，你可以自己先检查一下：f2(x0)看看是不是你要算的结果（肯定是不是的，要不不...
functiony=simple_fitness(x)y=x*sin(10*pi*x)+2end 在函数中我们使用ga算法求解 代码语言:javascript 代码运行次数:0 运行 AI代码解释 ObjectiveFunction=@simple_fitness;nvars=1;%变量个数LB=[-1]%定义域下限UB=[2]%定义域上限[x,fval]=ga(ObjectiveFunction,nvars,[],[],[],[],LB,UB)%调用ga函...
You also can use anonymous functions to call more complicated objective functions that you define in a function file. For example, suppose you have a file namedcubicpoly.mwith this function definition: functiony = cubicpoly(x,b,c) y = x^3 + b*x + c;end ...
R=a(:,4); ObjectiveFunction = @(x) annealing(x,C,P,T,R); x0 = [0.5 0.5 0.5 0.5];% Starting point [x,fval] = simulannealbnd(ObjectiveFunction,x0) This is error: Error using samakedata (line 29) Your objective function must return a scalar value. ...