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Sorry that this question is subjective, but given that the Stack Overflow has the largest Z3 user base, I want to give it a try.
I have a big constraint satisfaction problem that consists of many integer propositional logic formulas and a few first order logic formulas that only contain integers(quantifiers). I care very much about the efficiency, because I am building an interactive program synthesizer.
I am now using z3 solver and the check time is sometimes too long. I wonder if z3 is the best tool to tackle the problem I mentioned in above or there is a better tool? How about CPLEX?
Any suggestion will be appreciated.
Edit:
Sorry, the code has been remove for privacy reason. I can email you my code personally if you are willing to take a look. Thanks in advance.
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Can any algorithm that performs automatic learning be called a "machine learning algorithm"? Or is this designation is reserved to the known ML algorithms like SVM, Feature Selection... ?
Any algorithm that learns to do a task by itself and gets better at it is considered machine learning even if it just as simple as computing the joint probability. Only condition is automated learning, that's all.
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I was practicing for topcoder when I encountered the following problem:
http://community.topcoder.com/stat?c=problem_statement&pm=13417&rd=16464
I was in div2 where constraints were much easier, so even a brute force checking for each of the possible bridge location worked. But I tried hard to think about the div 1 problem where (n<=200) and brute force never pass. I can't think of any straight forward way I can not apply a DP or greedy or anything I know. I would be really glad if anyone could give some pointers or hints to look into the correct direction for this problem. On all other forums people seem to be going with brute force approach.
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I have seen people code for example, say a quicksort algorithm without using OOP. I have also seen the identical algorithm in Robert Lafore's data structure and algorithm textbook written under OOP framework.
Is it better to do it using OOP ? What are the advantages or disadvantages?
Suppose I know how to write an algorithm in both ways, should I always do it the OOP way ? Or does it depend on the algorithm itself ? If yes, then what algorithms would using OOP be beneficial ?
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The question "Is Functional GUI programming possible?" was asked three years ago, a lot has changed since then. Things like the RX framework must have changed the way functional GUI programming can be done (in .NET at least). Clearly it is possible to do functional GUI programming; what would be the current best practice for it?
Edit to address the On Hold status:
What are the ways that you can do GUI programming in F#? Particularly are there any new approaches that did not exist when the question "Is Functional GUI programming possible?" was asked. What have been peoples experiences with these approaches? Positive and negative. Examples of what works and what doesn't would be great.
maybe check into FsXaml and FsViewModule and watch the related video presentation from Reed Copsey
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This is a trivial question - but something I always miss in the day-to-day programming.
Is there a gook lookup reference available for the common algorithms that we usually face in our everyday programming - sorting,sequences,graphs.
The emphasis is more on the applicability and pseudocode ,rather than the mathematical proofs(which I find is what books tend to stress on).
The idea is to keep a ready reference,as and when we need to resort to one of these algorithms into our respective development project and languages.
Dictionary of Algorithms and Data Structures
How about this?
List of algorithms#Wikipedia