matryoshka | Generalized recursion schemes and traversals for Scala
kandi X-RAY | matryoshka Summary
kandi X-RAY | matryoshka Summary
This library is predicated on the idea of rewriting your recursive data structures, replacing the recursive type reference with a fresh type parameter. could be rewritten as. This abstract class generally allows a Traverse instance (or at least a Functor instance). Then you use one of the fixed point type constructors below to regain your recursive type. You may also want instances for Delay[Equal, ?], Delay[Order, ?], and Delay[Show, ?] (which are very similar to their non-Delay equivalents) to get instances for fixed points of your functor.
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QUESTION
I'm trying to figure out how to solve this problem:
...We have n ≥ 1 parallelepiped-shaped boxes, labeled as 0, 1,… n - 1; box i has width x [i], height y [i] and depth z [i] (strictly positive real values).
We want to insert as many boxes one inside the other, similar to a "matryoshka": box i can be contained in box j if the dimensions of box i are strictly smaller than the corresponding ones of box j, that is, if x [i] Implement an efficient algorithm to determine the maximum number of boxes that can be inserted into each other respecting the previous constraints. The boxes cannot be rotated. The program accepts a single parameter on the command line that represents the name of the input file, the content of which has the following structure:
n
x [0] y [0] z [0]
...
x [n-1] y [n-1] z [n-1]
The output must list the boxes that are part of the optimal solution, one box per line, starting with the outermost one; for each of them the dimensions must be reported (as per input file).
ANSWER
Answered 2021-May-08 at 09:34You can solve the problem by topological sorting the boxes according to "contains" relation and use dynamic programming to track how long chain of boxes can be put into previous boxes. Start from the boxes that contains no other boxes. When you add a new box just iterate over boxes that fit to the given to find the one with the longest chain that fits to the current box.
Finally, reconstruct the chain starting from the box with the largest score. Complexity is O(N^2). Here's the code:
QUESTION
I am trying to formalize business rules in Isabelle/HOL, but business rules involve the change of the values of some variables, like if x=5 => x=6
. =>
is not the usual implication there, because x is 5 in one world (interpretation, semantic domain) and after the execution of the rule the x is 6 and it is already a different world (different interpretation, assignment function, semantic domain). So - technically is x=5 => x=6
is not the formula in First Order Logic and it is not also the formula of Higher Order Logic of Isabelle/HOL. More possible is that it is the formula in dynamic/action logic [rule1](x=5)=(x=6)
(that defines that upon application of rule1
to the formula in some world yields to the truthful formula in some other world (dynamic/action logic is essentially a kind of modal logic and Kripke/possible world semantics can be applied here).
Now, back to Isabelle/HOL or Coq: FOL/HOL theory is set of formulas in all the worlds or in one particular world. If we stay at FOL/HOL then there is no change of the world, no change of the values of the variables. We should go to the modal logics if we would like to model, reasong about such changes. But can it be done in HOL? This change of world?
http://matryoshka.gforge.inria.fr/pubs/fernandez_burgos_bsc_thesis.pdf is good work about formalization of sorting algorithms in Isabelle/HOL, functional programming is used there and there is no need of variables and hence - no this change among worlds. But if we try to model Reinforcement Learning, Markov processes, impertative/object oriented programming, business rules in Isabelle/HOL, then we should express this change. How to do that?
How to express business rule if x=5 => x=6
in Isabelle/HOL?
The same approach can be used in Coq, that is why answers from the Coq community are welcome as well.
...ANSWER
Answered 2020-Jul-03 at 06:56The most common solution is using a predicate of type world => world => bool
representing transitions between worlds or states (for Markov processes) or memory (for program verification). It represents a transition from one place to another.
Such a predicate can typically be defined as an inductive predicate to represent non-determinism.
If you are specifically interested in logic:
For Isabelle, you could have a look at how it is done in the formalisation of dynamic logic and of modal logic in the AFP (https://www.isa-afp.org/topics.html -- search for Modal logic: on that page).
For Coq, I have found this approach, which follows the same pattern, but there many other formalisations.
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