A few months ago, when I was very new to Maxima, I posted my solutions to several multivariable optimization problems, and included a standard constrained optimization example for which the built in command **solve** failed.

Here’s the problem:

In my multivariable calculus class, we’ve just encountered that problem again. What my students and I discovered was that the order of the variables as specified by the user in the argument list caused the command to either succeed or fail, as you can see from the first two lines below:

I wrote to the experts at maxima-discuss@lists.sourceforge.net. They replied en masse very quickly and were very generous with their time and advice. They verified the problem, pointing out that solving systems of equations is really complicated, and that the solve program seeks to solve for the variables one at a time and things can go wrong if an inauspicious order of variables is followed.

The experts also tried our problem with the package to_poly_solve, and happily it succeeded without the hassle of needing to specify the variables in the right order. For **solve** users who reference the solutions it produces as elements of a list, direct use of **to_poly_solve** presents a challenge due to output in a format different from that of **solve — t0_poly_solve **returns solutions as a set with %union.

I’ve written a little wrapper Ksolve.mac that is called like **solve **as illustrated above.

In **Ksolve** if an initial call to **solve** fails, the process automatically upgrades to **to_poly_solve** in several variations, and (hopefully) returns solutions in the same format as **solve**.

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