Using ddp solve for optimization over two variables

I have a dynamic programming model, in which the Value of firm today depends on the productivity shock today, capital today, capital tomorrow and debt level. I have to maximize the firm value and therefore find the optimal levels of capital and debt that maximize this value. The shock follows a log normal process. Is it possible to use ddpsolve to solve this problem? I am confused because I have to optimize over two variables and I haven't found any example does does so.

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Is it possible to use ddpsolve to solve this problem?
Maybe, but ddpsolve is not a native Matlab function, so no one here is likely to be familiar with it. Some 3rd party function, I'm assuming.
This sounds like a stochastic optimization problem. I don't know about ddpsolve, but are you sure that the code is able to solve such problems ?

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