Optimizers find the location of a minimum of a nonlinear objective
function. You can find a minimum of a function of one variable on
a bounded interval using
or a minimum of a function of several variables on an unbounded domain
a function by minimizing its negative.
Find a nonnegative solution to a linear least-squares problem
The equation solver
a real root of a nonlinear scalar function.
Control the output or other aspects of your optimization by
setting options using
Minimizing and maximizing in one or more dimensions.
This example shows how to fit a nonlinear function to data by minimizing the sum of squared errors.
Controlling an optimization, displaying intermediate calculations.
Obtain intermediate output.
Describes how to monitor or halt solvers.
Describes how to monitor solvers visually.
fzero function attempts to find a root of one equation with one variable.
How to address common issues.