‘problem’ is another input argument that is specified as a structure. The data type that is accepted by a0 is double. It can be given in the form of a real vector or real array. fsolve uses the number of variables and size of the initial point (a0) to decide the number and size of variables that function should accept. The data types that are accepted are char, function handle, and string.’a0’ is another input argument that specifies the initial or starting point. If any of them is given in the form of arrays, then they are converted into vectors by the linear indexing method.

It accepts its input as a vector and returns a vector quantity. ‘func’ is the first input argument that can be specified in the form of a function handle or a function name. The input and output arguments mentioned in the above syntax need to follow certain rules and criteria.

= fsolve(_): This syntax is used to display the jacobian of the declared function.

exitflag gives us the reason why fsolve algorithm stopped and output defines the process of optimization.

= fsolve(_): This syntax is used when we want to display the output or exitflag.

= fsolve(_) : This is used to find the value of the declared objective function in the input at the defined solution a.

a = fsolve( problem ): This is used to solve the nonlinear equations by the problem as mentioned in the syntax where it is specified as a structure.

optimoptions are used in Matlab to declare the required options.

a = fsolve(func,a0,options) : This is used to solve the nonlinear equations using various options mentioned in syntax.

a = fsolve(func,a0) : This starts at an initial point a0 and continues to solve the equation where the function is equal to zero.

Please find the below syntaxes that are used while dealing with the fsolve function: In Matlab, the fsolve function is used to get the solutions of any nonlinear equations that are defined or declared in the environment. Working of fsolve in Matlab with Syntax and Examples

Fzero matlab piecewise function