I am an engineer who is doing some network modeling and optimization. During my work, I was running into a case that is quite strange. The problem that I am trying to solve seems to be convex and it can be readily solved by any general convex solver:
\begin{array}{*{20}{c}} {\mathop {\min }\limits_{x,y,z,t,y} }&{x + y + z + t + y}\\ {}&{{a_1}{x^3} + {a_2}{y^3} + {a_3}{z^3} - t \le 0}\\ {}&{{b_1}{x^4} + {b_2}{y^4} + {b_3}{z^4} - y \le 0}\\ {}&{x + y + z + t + y \ge 1}\\ {}&{...{\rm{and}}\,{\rm{some}}\,{\rm{linear}}\,{\rm{constraints}}} \end{array}
Here, all $a_1,a_2,a_3$ and $b_1,b_2,b_3$ are positive numbers and all decision variables are non negative since they are some physical quantities.
However, in practice I see that SOCP (or QP) problem can be solve very fast by exploiting their structure. Out of pure curiosity, my question is:
Do the following separable cubic constraint and separable quartic constraint SOCP presentable ?
${{a_1}{x^3} + {a_2}{y^3} + {a_3}{z^3} - t \le 0}$
${{b_1}{x^4} + {b_2}{y^4} + {b_3}{z^4} - y \le 0}$
My initial guess is that, it is very likely since Mosek has mentioned something about power cone and exponential cone. However, I dont know how to actually do this.
An interesting example is here:
Would you kindly help me with this ?
Thank you for your enthusiasm !