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MaxIterations Option: This means the maximum number of iterations that are allowed in the whole process.

It is given in the form of a positive integer only. The default number of evaluations is 100 multiplied by the number of variables.

MaxFunctionEvaluations Option: This means the maximum number of evaluations that are allowed in the whole process.

‘final-detailed’ means to display the final output of the whole iterative process and display the exit message(technical) with it.

‘final’ option means to display the final output of the whole iterative process and display the exit message(default) with it.

‘iter-detailed’ option means there will be output displayed for each iteration with an exit message(technical).

‘iter’ option means there will be output displayed for each iteration and provides the exit message(default).

The ‘off’ option means there will no output display.

Display Option: This is used to decide the levels of the display which are as follows:.Some of the options can be applied to all algorithms and some are not. ‘options’ is an input argument which has various options and it can be set by using optimoptions. It has various fields like objective (to declare the objective function), a0(to declare the initial point required in the algorithm), solver (fsolve to solve the equation), options (to change and modify the process of optimization in the whole process). ‘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