## 由 Optimization Toolbox 函数处理的问题

`$\underset{x}{\mathrm{min}}f\left(x\right)$`

`fminbnd`

`$\underset{x}{\mathrm{min}}f\left(x\right)$`

`$\underset{x}{\mathrm{min}}{f}^{T}x$`

`linprog`

`$\underset{x}{\mathrm{min}}{f}^{T}x$`

`intlinprog`

`$\underset{x}{\mathrm{min}}\frac{1}{2}{x}^{T}Hx+{c}^{T}x$`

`quadprog`

`$\underset{x}{\mathrm{min}}{f}^{T}x$`

`coneprog`

`$\underset{x}{\mathrm{min}}f\left(x\right)$`

`fmincon`

`$\underset{x}{\mathrm{min}}f\left(x\right)$`

`fseminf`

`$\underset{x,\gamma }{\mathrm{min}}\gamma$`

`fgoalattain`

Minimax

`$\underset{x}{\mathrm{min}}\underset{i}{\mathrm{max}}{F}_{i}\left(x\right)$`

`fminimax`

C·x = d，n 个方程，n 个变量

`mldivide`（矩阵左除）

f(x) = 0

`fzero`

F(x) = 0，n 个方程，n 个变量

`fsolve`

`$\underset{x}{\mathrm{min}}\frac{1}{2}{‖C\cdot x-d‖}_{2}^{2}$`

m 个方程，n 个变量

`mldivide`（矩阵左除）

`$\underset{x}{\mathrm{min}}\frac{1}{2}{‖C\cdot x-d‖}_{2}^{2}$`

`lsqnonneg`

`$\underset{x}{\mathrm{min}}\frac{1}{2}{‖C\cdot x-d‖}_{2}^{2}$`

`lsqlin`

`$\underset{x}{\mathrm{min}}{‖F\left(x\right)‖}_{2}^{2}=\underset{x}{\mathrm{min}}\sum _{i}{F}_{i}^{2}\left(x\right)$`

`lsqnonlin`

`$\underset{x}{\mathrm{min}}{‖F\left(x,xdata\right)-ydata‖}_{2}^{2}$`

`lsqcurvefit`