23.3.3  Finding approximate solutions to systems of equations

In Section 23.3.2 it was shown how to use the fsolve and cfsolve commands to solve equations. This section will discuss systems of equations.

As before, the cfsolve command is the complex version of fsolve, with the same arguments. The only difference is that cfsolve gives numeric solutions over the complex numbers, even if Xcas is not in complex mode (see Section 2.5.5). fsolve will return complex roots, but only in complex mode.

• For solving systems of equations, fsolve takes three mandatory arguments and one optional argument:
  • eqns, a list of equations (or expressions, considered to be equal to zero) to solve.
  • vars, a list of the variables.
  • Optionally, init, a list initial values for the variables.
  • Optionally, method, the method to use. The possible methods are:
    dnewton_solver, hybrid_solver, hybrids_solver, newtonj_solver, hybridj_solver, and hybridsj_solver.
• fsolve(eqns,vars ⟨,init,method ⟩) returns an approximate solution to eqns.
• The methods are inherited from the GSL. The methods whose names end with j_solver use the jacobian matrix, the rest use approximations for the derivatives. All methods use an iteration of Newton kind

  xn+1=xn−

  f(xn) f′(xn)

  The four hybrid methods also apply the method of gradient descent when the Newton iteration would make a too large of a step. The length of the step is computed without scaling for hybrid_solver and hybridj_solver or with scaling (computed from f′(x_n)) for hybrids_solver and hybridsj_solver.

Examples

Input in real mode:

Input in complex mode:

Input in any mode:

Example