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When to use a linked list over an array/array list?
...ertions/deletions from the list (such as in real-time computing where time predictability is absolutely critical)
you don't know how many items will be in the list. With arrays, you may need to re-declare and copy memory if the array grows too big
you don't need random access to any elements
you wa...
Is there a perfect algorithm for chess? [closed]
...
@BCS hmm, what if there is a prediction in which if I am playing as second player and the other one is using the same heuristic as me then do follow this heuristic to win and if the first player has a similar heuristic?????
– John D...
How can I cast int to enum?
... building a ton of small test cases, making them tougher as you go, try to predict the outcome every time, and test them afterwards (incl. decompilation, etc). After figuring out all the details and all the characteristics, you can check if you got it right in the (dull) standard. At least, that wou...
Why must a nonlinear activation function be used in a backpropagation neural network? [closed]
...epMind's synthetic gradients, for which they use a small neural network to predict the gradient in the backpropagation pass given the activation values, and they find that they can get away with using a neural network with no hidden layers and with only linear activations.
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How does virtual inheritance solve the “diamond” (multiple inheritance) ambiguity?
...em with minor performance cost and no other drawbacks?
Not being able to predict behavior without trying code samples means not understanding the concept. Below is what helped me to wrap head around virtual inheritance.
Double A
First, lets start with this code without virtual inheritance:
#in...
Cartesian product of multiple arrays in JavaScript
...te loops since it is technically constant and you'd be helping with branch prediction and all that mess, but that point is kind of moot in javascript
anywho, enjoy -ck
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Best architectural approaches for building iOS networking applications (REST clients)
...complex with its own gotchas. People implement complex logic to get valid, predictable caching like e.g. monoidal caching with projections based on profunctors. You can read about this beautiful library called Carlos to understand more. And don't forget that Core Data can really help you with all ca...
Eventual consistency in plain English
...a snapshot has stale data but will return same data if read again so it is predictable. Sometimes application can tolerate data which is stale for a given amount of time beyond which it demands consistent data.
If you look at meaning of consistency it relates more to uniformity or lack of deviation...
What does numpy.random.seed(0) do?
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np.random.seed(0) makes the random numbers predictable
>>> numpy.random.seed(0) ; numpy.random.rand(4)
array([ 0.55, 0.72, 0.6 , 0.54])
>>> numpy.random.seed(0) ; numpy.random.rand(4)
array([ 0.55, 0.72, 0.6 , 0.54])
With the seed reset (eve...
The necessity of hiding the salt for a hash
...The Rook - No, you are misinterpreting that issue. It refers to the use of predictable salts. It does not say anything about keeping the salt secret. Indeed, you can't really keep the salt secret without using another secret... in which case, why wouldn't you use the second secret as the salt? Using...