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I was looking for C++ implementation of 2-3-4 Trees online and was surprised that
There is no code available for it. I couldn't find anything. I have studies this Trees
But writing code is difficult for me as of now so I wanted to look at some already
implemented code. Is there an easy way to implement it using a 2-3 Tree or some other
existing Data Structure or one has to start from scratch to implement it ?
Any links/references or ideas will help
You're unlikely to find a production-quality implementation. A red-black tree is an isomorphic structure to a 2-3-4 tree, and is more efficient and easier to work with. So you'll find plenty of RB trees, and they're basically the same thing. (You could rework a RB tree into a 2-3-4 tree but that would just make it worse.)
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I need to solve the heat equation for 2D object using C++. I've found many sources explaining the mathematics behind it. I am using the Crank-Nicholson scheme, but given that I need a 1001 x 1001 discretization, the resulting linear system is huge and memory would blow in case of a "traditional" implementation.
Therefore, I am recurring to methods for solving sparse linear systems. I have been looking online and cannot find any source explaining an algorithm to solve this sparse system efficiently. I've found several packages that do solve it (like csparse, eigen, SciPy under-the-hood implementation), but found no theoretical explanation to really code it myself. For the moment I am trying to do "reverse engineering" on the source code of SuperLU.
What I am looking for is an algorithm that you may know to solve sparse linear systems.
Thanks in advance
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For a more complex project, I need to compute the approximate, relative distances of objects from two images (from stereo-cameras). Practically what this neat tutorial explains: https://chrisjmccormick.wordpress.com/2014/01/10/stereo-vision-tutorial-part-i/ and with a result like that
Think I shouldn't be reinventing the wheel for this project and since speed is very important (realtime from two videostreams) I'm looking for a native library (preferably in C++ where the whole project is written in) for this task.
Does anyone have a suggestion?
Open source would be greatest but not mandatory.
Huge thanks in advance!
try with LIBELAS library (Library for Efficient Large-scale Stereo Matching).
Best!
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Libraries like Boost or SNAP provide graph data structures but are quite complicated. I am new to C++ STL and looking for a simple Adjacency List based undirected graph representation. Googling got me nothing thats fits the bill. However, this problem seems quite standard and I think I can skip reinventing the wheel for my project.
C++ on its own, doesn't offer any graph class that you might use. If you don't want to reinvent the wheel (which is a good thing), the only way to achieve what you wish is using an additional library.
If you need something simple, maybe using std::map could suffice. If you need something more advanced, try:
template <typename key_type, typename val_type>
class graph{
std::map<key_type,val_type> nodes;
std::set<std::pair<key_type,key_type> > connections;
};
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How might one implement data frame in R, Python, and other languages using C++?
In general, data.frame solves a problem which is solved fundamentally differently in C++ (and other languages) – namely via class hierarchies, or, in the simplest case, via a vector of tuples.
Since you haven’t given specifics it’s hard to know what exactly you are after but if it’s ease of computation, Armadillo is a good linear algebra library for C++ (one among many). I haven’t yet found a good statistics framework for C++ – I suggest simply sticking with R for that.
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I recall learning about the corner-stitched data structure a number of years ago and have been fascinated with it ever since. It originated with a paper by Ousterhout.
I've searched and not been able to find a free/open implementations. I'd prefer a C++ implementation, but at this point would accept any pointers people might have.
Note: a corner-stitched data structure is a way to store 2 dimensional, rectangluar data, explicitly maintaining the whitespace between inserted elements. This is as opposed to a quad-tree which just stores the inserted data elements. There are many trade-offs, I'm mostly interested in an implementation - but would also accept alternatives that have similar properties.
Ousterhout's own software package Magic implements corner stitching. The C source code is available BSD-licensed at http://opencircuitdesign.com/magic.