c-algorithms | experimental C library of common data structures | Learning library

by lekkas C Version: Current License: MIT

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kandi X-RAY | c-algorithms Summary

c-algorithms is a C library typically used in Tutorial, Learning, Example Codes applications. c-algorithms has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

An experimental C library of common data structures and algorithms

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c-algorithms has a low active ecosystem.

It has 324 star(s) with 84 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

c-algorithms has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of c-algorithms is current.

Quality

c-algorithms has no bugs reported.

Security

c-algorithms has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

c-algorithms is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

c-algorithms releases are not available. You will need to build from source code and install.

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c-algorithms Examples and Code Snippets

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Community Discussions

Trending Discussions on c-algorithms

Python: how to implement crossover of two integers?

Why double is NaN after toggling bits?

Pointer problem with HashTable insertion and lookup

Python - Problem involving multiplication between 'int' and 'type'

Optimize Input Vector to achieve optimal results

Python - Generate random real number between range with a step size

Genetic Algorithm: Need some clarification on selection and what to do when crossover doesn't happen

error when compiling testfiles from installed c-algorithms library

F#: FS0001 - This expression was expected to have type 'int' but here has type'unit'

How to sign xml element using RSA-SHA1 algorithm?

QUESTION

Python: how to implement crossover of two integers?

Asked 2020-Mar-15 at 18:04

I'm experimenting with a genetic search algorithm and after building the initial population at random, and then selecting the top two fittest entries, I need to 'mate' them (with some random mutation) to create 64 'children'. The crossover part, explained here:

https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-code-e396e98d8bf3

seems easy to follow, but I can't seem to figure out how to implement it in Python. How can I implement this crossover of two integers?

...

ANSWER

Answered 2020-Mar-14 at 22:53

Here is a function called crossover that takes two parents and a crossover point. The parents should be lists of integers of the same length. The crossover point is the point before which genes get exchanged, as defined in the article that you linked to. It returns the two offspring of the parents.

Source https://stackoverflow.com/questions/60687712

QUESTION

Why double is NaN after toggling bits?

Asked 2019-Jun-16 at 18:38

I'm writing an genetic algorithm for finding coefficients having given X, Y points. The principle of operation is described on this page - https://towardsdatascience.com/introduction-to-genetic-algorithms-including-example-code-e396e98d8bf3

I have problem, because sometimes after mutation or crossover my double value is NaN.

I've tried do this using byte[] and BitArray, but in both approaches I have the same result.

Converting double <-> BitArray:

...

ANSWER

Answered 2019-Jun-16 at 18:15

It's because you're using random bytes to generate IEEE-754 numbers. You should not do that because IEEE-754 defines the structure for these numbers and using random byte input won't give you random numbers because some bits represent things like the is Not-a-Number field, and NaN values are "viral" and invalidate other calculations.

To generate random Double numbers you should use System.Random.NextDouble().

Source https://stackoverflow.com/questions/56621405

QUESTION

Pointer problem with HashTable insertion and lookup

Asked 2019-Apr-26 at 15:58

I'm using a custom C implementation of data structures from github. Documentation here: http://fragglet.github.io/c-algorithms/doc/

It's my first time with this low level HashTable usage and I'm getting some pointer problems when I recover the values that I previously inserted.

My code is just a simple test with just the necessary to insert and recover data.

...

ANSWER

Answered 2019-Apr-26 at 15:58

You have some pointer confusion going on. If you replace:

Source https://stackoverflow.com/questions/55856482

QUESTION

Python - Problem involving multiplication between 'int' and 'type'

Asked 2018-Oct-19 at 17:22

I am trying to make work a piece of code in Python, composed of four modules.

When running I get the following error in the module optimizer_Neuroevolution: "line 149, in evolve retain_length = int(len(graded)*self.retain) TypeError: unsupported operand type(s) for *: 'int' and 'type'

The modules are as follow:

First module main_Neuroevolution:

...

ANSWER

Answered 2018-Oct-19 at 17:11

In this function,

Source https://stackoverflow.com/questions/52896985

QUESTION

Optimize Input Vector to achieve optimal results

Asked 2018-Sep-27 at 22:35

I couldn't figure out the following problem: if I may, I'd like to give you right away an example
Imagine, you work with marketing data and you came up with a good regression model, predicting the "reach" of a certain campaign. All fine and dandy. Data Scientist Job done.
But wait. We can do more.
My question to you is:
Assuming that we have a good model, how can we optimize the input vector ( = marketing campaign) to get the best possible "reach" ( = predictor / goal to optimize)?
I was googling like crazy, but couldn't find any good approach (I am not talking about any hypterparameter optimization). The best approach I found so far is a genetic algorithm... example here and here
Or - a brute force approach - calculate an enormous grid with tons of possible input vectors and then check, which one is the best (straight forward) - but that would be computational expensive.

I would love to hear your opinion on this. Any advice on which topics I should check out?

...

ANSWER

Answered 2018-Sep-27 at 22:35

A very long comment:

Genetic algorithms can be nested. Put your genetic solution finder into a fitness function. Give it to a parent genetic algorithm. Have them search results by "optimizing input vector" from outer GA and "optimizing goal" from inner GA.

You can even add a third layer of GA, to test the construction parameters of middle layer GA because we may not know what kind of search space we need. If we knew it, then we wouldn't need to optimize that vector.

You can even decrease dimensions of problem per GA this way.

Source https://stackoverflow.com/questions/52545116

QUESTION

Python - Generate random real number between range with a step size

Asked 2018-May-10 at 15:19

I am using python-3.x, and I am trying to generate an initial population that contains random real numbers between 0 and 1 where these numbers should be one of the following: 0, 0.33333, 0.666667 or 1

That means the difference between these numbers is 0.33333 (1/3). I tried to modify this code in many ways but their no luck

...

ANSWER

Answered 2018-May-10 at 14:57

>>> np.random.choice([0, 1/3., 2/3., 1], size=(7,2), replace=True)
array([[0.        , 0.33333333],
       [0.33333333, 0.66666667],
       [0.        , 0.        ],
       [0.66666667, 0.        ],
       [0.33333333, 0.33333333],
       [1.        , 1.        ],
       [0.33333333, 0.33333333]])


>>> i_min = 0
>>> i_max = 1
>>> level = 3
>>> np.random.choice(np.linspace(i_min, i_max, 2**level), size=(7,2), replace=True)
array([[0.28571429, 0.14285714],
       [0.85714286, 0.57142857],
       [0.71428571, 0.42857143],
       [0.71428571, 1.        ],
       [0.14285714, 0.85714286],
       [0.        , 0.        ],
       [1.        , 0.        ]])

Source https://stackoverflow.com/questions/50273322

QUESTION

Genetic Algorithm: Need some clarification on selection and what to do when crossover doesn't happen

Asked 2018-Mar-21 at 10:07

I'm writing a genetic algorithm to minimize a function. I have two questions, one in regards to selection and the other with regards to crossover and what to do when it doesn't happen.

Here's an outline of what I'm doing:

...

ANSWER

Answered 2018-Mar-19 at 11:30

I don't see anything wrong with the same individual being the parent of more than one child per generation. It can only affect your diversity a little bit. If you don't like this, or find a real lack of diversity at the final generations, you can actually flag the individual so it cannot be parent more than once per generation.
I actually don't fully agree with the tutorial, I think after you have selected the individuals that will become parents (based on their fitness, of course) you should actually perform the crossover. Otherwise you will be cloning a lot of individuals to the next generation.

Source https://stackoverflow.com/questions/49342900

QUESTION

error when compiling testfiles from installed c-algorithms library

Asked 2017-Oct-19 at 12:08

I'm trying to install and test c library c-algorithms from Github.

https://github.com/fragglet/c-algorithms/blob/master/test/test-queue.c

When I try to test the installation from the generated test folder with:

gcc -o test-arraylist `pkg-config --cflags --libs libcalg-1.0` test-arraylist.c

I get the following error massage:

test-arraylist.c:30:23: fatal error: arraylist.h: No such file or directory compilation terminated.

I use a Vagrant box: ubuntu/xenial32 with Ubuntu 14.04.5 LTS

Prior to installation of c-algorithms:
sudo apt-get install autoconf
sudo apt-get install libtool
sudo apt-get install pkg-config

To install the library I have done following:

sudo ./autogen.sh
sudo ./configure
sudo make
sudo make install

Any help would be highly apriciated

...

ANSWER

Answered 2017-Oct-19 at 12:08

This is probably going to be stomped on by process-fetishizers.

But.

When you build in a Unix/Linux operating system (and derivatives like RTEMS), you are building off other people's libraries - so you need those libraries and their header files ( just like c-alg... ) installed in locations that your compiler can find.

To find a file that is associated with a package, use dpkg as explained here: https://askubuntu.com/questions/481/how-do-i-find-the-package-that-provides-a-file

But you have another problem you might not be aware of. You are trying to compile a test program using a gcc command when the software uses GNU autoconf automake and probably libtool to function PROPERLY.

Perhaps you don't understand you need to make sure autoconf, automake, and then libtool find the right configuration from one directory system to another. Fedora puts files in differing spots from Ubuntu distros.

Instead run:

Source https://stackoverflow.com/questions/46828096

QUESTION

F#: FS0001 - This expression was expected to have type 'int' but here has type'unit'

Asked 2017-Sep-21 at 03:17

I am attempting to run the code from this excellent article: Finding solutions using genetic algorithms in F#

Frustratingly, it reports an FS0001 error, as follows:

This expression was expected to have type 'int' but here has type 'unit'

It omplains that the very last line of the code is incorrect:

...

ANSWER

Answered 2017-Sep-21 at 02:05

From my comment: "main" must return int. Add a line with just "0" at the end of it.

Source https://stackoverflow.com/questions/46332044

QUESTION

How to sign xml element using RSA-SHA1 algorithm?

Asked 2017-Sep-07 at 13:28

I need to sign (and verify eventually) one of the nodes of an XML document using RSA-SHA1 algorithm. w3.org link

RSA-SHA1 URI:
http://www.w3.org/2000/09/xmldsig#rsa-sha1
Specified in:
section 6.4.2 of [XMLDSIG-CORE2002]

I am following this example, however cannot figure how to change the algorithm to required.

The signature generation happens here:

...

ANSWER

Answered 2017-Sep-07 at 13:28

In .NET Framework 1.1 through .NET Framework 4.7 you get RSA-SHA-1 by simply setting signedXml.SigningKey to an RSA key object.

If .NET 4.7.1 (currently in preview) is installed the default for RSA will change to RSA-SHA-2-256, per https://github.com/Microsoft/dotnet/blob/master/releases/net471/dotnet471-changes.md.

So, if you really want a RSA-SHA-1 signature you need to

a) set signedXml.SigningKey to an RSA key

b) set signedXml.SignedInfo.SignatureMethod = SignedXml.XmlDsigRSASHA1Url

(both before calling signedXml.ComputeSignature())

Conversely, if you want to do something better than RSA-SHA-1 on current versions, set signedXml.SignedInfo.SignatureMethod to SignedXml.XmlDsigSHA256Url or better.

Word of warning: SHA-1 is considered broken for cryptographic purposes now that a collision has been found. While it's not generalized enough (at this point) to attack arbitrary XML, it may well grow up to that point. You really shouldn't be using SHA-1 in anything new, and should consider validating that your signature method is something better than SHA-1 based when deciding whether to accept a signed document.

Source https://stackoverflow.com/questions/46074784

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Install c-algorithms

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