Math | The Hoa\Math library | Math library

 by   hoaproject PHP Version: 1.17.05.16 License: No License

kandi X-RAY | Math Summary

kandi X-RAY | Math Summary

Math is a PHP library typically used in Utilities, Math applications. Math has no bugs, it has no vulnerabilities and it has low support. You can download it from GitLab, GitHub.

This library provides tools around mathematical operations.
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            kandi-support Support

              Math has a low active ecosystem.
              It has 370 star(s) with 33 fork(s). There are 14 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 9 open issues and 8 have been closed. On average issues are closed in 107 days. There are 5 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Math is 1.17.05.16

            kandi-Quality Quality

              Math has 0 bugs and 0 code smells.

            kandi-Security Security

              Math has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Math code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Math does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              Math releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 1369 lines of code, 126 functions and 25 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Math and discovered the below as its top functions. This is intended to give you an instant insight into Math implemented functionality, and help decide if they suit your requirements.
            • Visits an element
            • Main function .
            • Returns an integer from a range .
            • Initializes function objects .
            • Initializes the constants
            • Get float value
            • Initializes the parameters .
            • Moves forward to the next set .
            • Rewind to the array
            • Show the usage .
            Get all kandi verified functions for this library.

            Math Key Features

            No Key Features are available at this moment for Math.

            Math Examples and Code Snippets

            copy iconCopy
            const lcm = (...arr) => {
              const gcd = (x, y) => (!y ? x : gcd(y, x % y));
              const _lcm = (x, y) => (x * y) / gcd(x, y);
              return [...arr].reduce((a, b) => _lcm(a, b));
            };
            
            
            lcm(12, 7); // 84
            lcm(...[1, 3, 4, 5]); // 60
            
              
            copy iconCopy
            const gcd = (...arr) => {
              const _gcd = (x, y) => (!y ? x : gcd(y, x % y));
              return [...arr].reduce((a, b) => _gcd(a, b));
            };
            
            
            gcd(8, 36); // 4
            gcd(...[12, 8, 32]); // 4
            
              
            copy iconCopy
            const isNumber = val => typeof val === 'number' && val === val;
            
            
            isNumber(1); // true
            isNumber('1'); // false
            isNumber(NaN); // false
            
              

            Community Discussions

            QUESTION

            How can I merge two dataframes together with some conditional requirements?
            Asked 2022-Mar-22 at 14:33

            I have two dataframes, df1 and df2. I would like to join the two with the following conditions:

            1. merge df1 and df2 on gender and Test
            2. TestDate in df1 need to be within Date1 and Date2 from df2
            3. all.x = TRUE (keep df1 records)

            How can I handle the second part?

            ...

            ANSWER

            Answered 2022-Mar-21 at 14:44

            Does this work for you?

            Source https://stackoverflow.com/questions/71559360

            QUESTION

            Find occurrence count of the longest common Prefix/Suffix in a List of Strings?
            Asked 2022-Mar-22 at 07:13

            Given a list of Strings:

            ...

            ANSWER

            Answered 2022-Mar-22 at 07:13

            This problem should be solved easily using a trie.

            The trie node should basically keep a track of 2 things:

            1. Child nodes
            2. Count of prefixes ending at current node

            Insert all strings in the trie, which will be done in O(string length * number of strings). After that, simply traversing the trie, you can hash the prefixes based on the count as per your use case. For suffixes, you can use the same approach, just start traversing the strings in reverse order.

            Edit:
            On second thought, trie might be the most efficient way, but a simple hashmap implementation should also work here. Here's an example to generate all prefixes with count > 1.

            Source https://stackoverflow.com/questions/71463016

            QUESTION

            Differences in floating point between JDK 8 and JDK 13
            Asked 2022-Mar-20 at 18:16

            It seems that JDK 8 and JDK 13 have different floating points.
            I get on JDK 8, using Math:

            ...

            ANSWER

            Answered 2022-Mar-20 at 18:16

            This seems to be caused by a JVM intrinsic function for Math.cos, which is described in the related issue JDK-8242461. The behavior experienced there is not considered an issue:

            The returned results reported in this bug are indeed adjacent floating-point values [this is the case here as well]

            [...]

            Therefore, while it is possible one or the other of the returned values is outside of the accuracy bounds, just have different return values for Math.cos is not in and of itself evidence of a problem.

            For reproducible results, use the StrictMath.cos instead.

            And indeed, disabling the intrinsics using -XX:+UnlockDiagnosticVMOptions -XX:DisableIntrinsic=_dcos (as proposed in the linked issue), causes Math.cos to have the same (expected) result as StrictMath.cos.

            So it appears the behavior you are seeing here is most likely compliant with the Math documentation as well.

            Source https://stackoverflow.com/questions/71548717

            QUESTION

            Using NativeCall to call the C fn `erf` gets more precise output than `erf` in C
            Asked 2022-Mar-06 at 09:09

            I have written a Raku script to call erf function in C standard library:

            ...

            ANSWER

            Answered 2022-Feb-04 at 12:56

            For the C code, change %f to %.99g to show more digits. This reveals erf(4) returns 0.9999999845827420852373279558378271758556365966796875.

            %f requests six digits after the decimal point. The value is rounded to fit that format. %.numberf requests number digits after the decimal point and always used the “fixed” format. %.numberg requests number significant digits and uses a a “general” format that switches to exponential notation when appropriate.

            For the Raku code, if you want output of “1.0” or “1.000000”, you will need to apply some formatting request to the output. I do not practice Raku, but a brief search shows Raku has printf-like features you can use, so requesting the %f format with it should duplicate the C output.

            Source https://stackoverflow.com/questions/70986616

            QUESTION

            Repeatedly removing the maximum average subarray
            Asked 2022-Feb-28 at 18:19

            I have an array of positive integers. For example:

            ...

            ANSWER

            Answered 2022-Feb-27 at 22:44

            This problem has a fun O(n) solution.

            If you draw a graph of cumulative sum vs index, then:

            The average value in the subarray between any two indexes is the slope of the line between those points on the graph.

            The first highest-average-prefix will end at the point that makes the highest angle from 0. The next highest-average-prefix must then have a smaller average, and it will end at the point that makes the highest angle from the first ending. Continuing to the end of the array, we find that...

            These segments of highest average are exactly the segments in the upper convex hull of the cumulative sum graph.

            Find these segments using the monotone chain algorithm. Since the points are already sorted, it takes O(n) time.

            Source https://stackoverflow.com/questions/71287550

            QUESTION

            How do I calculate square root in Python?
            Asked 2022-Feb-17 at 03:40

            I need to calculate the square root of some numbers, for example √9 = 3 and √2 = 1.4142. How can I do it in Python?

            The inputs will probably be all positive integers, and relatively small (say less than a billion), but just in case they're not, is there anything that might break?

            Related

            Note: This is an attempt at a canonical question after a discussion on Meta about an existing question with the same title.

            ...

            ANSWER

            Answered 2022-Feb-04 at 19:44
            Option 1: math.sqrt()

            The math module from the standard library has a sqrt function to calculate the square root of a number. It takes any type that can be converted to float (which includes int) as an argument and returns a float.

            Source https://stackoverflow.com/questions/70793490

            QUESTION

            JMH using java 17, no dead code elimination
            Asked 2022-Feb-09 at 17:17

            I run sample JHM benchmark which suppose to show dead code elimination. Code is rewritten for conciseness from jhm github sample.

            ...

            ANSWER

            Answered 2022-Feb-09 at 17:17

            Those samples depend on JDK internals.

            Looks like since JDK 9 and JDK-8152907, Math.log is no longer intrinsified into C2 intermediate representation. Instead, a direct call to a quick LIBM-backed stub is made. This is usually faster for the code that actually uses the result. Notice how measureCorrect is faster in JDK 17 output in your case.

            But for JMH samples, it limits the the compiler optimizations around the Math.log, and dead code / folding samples do not work properly. The fix it to make samples that do not rely on JDK internals without a good reason, and instead use a custom written payload.

            This is being done in JMH here:

            Source https://stackoverflow.com/questions/71044636

            QUESTION

            Docker standard_init_linux.go:228: exec user process caused: no such file or directory
            Asked 2022-Feb-08 at 20:49

            Whenever I am trying to run the docker images, it is exiting in immediately.

            ...

            ANSWER

            Answered 2021-Aug-22 at 15:41

            Since you're already using Docker, I'd suggest using a multi-stage build. Using a standard docker image like golang one can build an executable asset which is guaranteed to work with other docker linux images:

            Source https://stackoverflow.com/questions/68881023

            QUESTION

            How to apply one signature test to multiple positionals
            Asked 2022-Feb-03 at 16:01

            I wrote some code in https://github.com/p6steve/raku-Physics-Measure that looks for a Measure type in each maths operation and hands off the work to non-standard methods that adjust Unit and Error aspects alongside returning the new value:

            ...

            ANSWER

            Answered 2021-Dec-30 at 03:53

            There are a few ways to approach this but what I'd probably do – and a generally useful pattern – is to use a subset to create a slightly over-inclusive multi and then redispatch the case you shouldn't have included. For the example you provided, that might look a bit like:

            Source https://stackoverflow.com/questions/70525665

            QUESTION

            How to generate a Rank 5 matrix with entries Uniform?
            Asked 2022-Feb-03 at 08:39

            I want to generate a rank 5 100x600 matrix in numpy with all the entries sampled from np.random.uniform(0, 20), so that all the entries will be uniformly distributed between [0, 20). What will be the best way to do so in python?

            I see there is an SVD-inspired way to do so here (https://math.stackexchange.com/questions/3567510/how-to-generate-a-rank-r-matrix-with-entries-uniform), but I am not sure how to code it up. I am looking for a working example of this SVD-inspired way to get uniformly distributed entries.

            I have actually managed to code up a rank 5 100x100 matrix by vertically stacking five 20x100 rank 1 matrices, then shuffling the vertical indices. However, the resulting 100x100 matrix does not have uniformly distributed entries [0, 20).

            Here is my code (my best attempt):

            ...

            ANSWER

            Answered 2022-Jan-24 at 15:05

            Not a perfect solution, I must admit. But it's simple and comes pretty close.
            I create 5 vectors that are gonna span the space of the matrix and create random linear combinations to fill the rest of the matrix. My initial thought was that a trivial solution will be to copy those vectors 20 times.
            To improve that, I created linear combinations of them with weights drawn from a uniform distribution, but then the distribution of the entries in the matrix becomes normal because the weighted mean basically causes the central limit theorm to take effect.
            A middle point between the trivial approach and the second approach that doesn't work is to use sets of weights that favor one of the vectors over the others. And you can generate these sorts of weight vectors by passing any vector through the softmax function with an appropriately high temperature parameter.
            The distribution is almost uniform, but the vectors are still very close to the base vectors. You can play with the temperature parameter to find a sweet spot that suits your purpose.

            Source https://stackoverflow.com/questions/70750396

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install Math

            With Composer, to include this library into your dependencies, you need to require hoa/math:. For more installation procedures, please read the Source page.

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