glm | Java OpenGL Mathematics (GLM) | Graphics library
kandi X-RAY | glm Summary
kandi X-RAY | glm Summary
Glm is the java port of the [OpenGL Mathematics (GLM)] a mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications. Glm provides classes and functions designed and implemented with the same naming conventions (within reasonable terms) and functionalities than GLSL so that anyone, who knows GLSL or GLM, can use the java glm as well. This project isn’t limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, data packing, random numbers, noise, etc…. Since i32vec2 would have been I32vec2 because java requires always first letter capital, it has been decided to move the type part at the right and changing the bit lenght directly with the primitive data type (Vec2i32 would have been confusing), so we simply have Vec2i. |c++|java| |---|---| |bvec*|Vec*bool| |dvec*|Vec*d| |vec*|Vec*| |i8vec*|Vec*b| |i16vec*|Vec*s| |i32vec*|Vec*i| |i64vec*|Vec*l| |u8vec*|Vec*ub| |u16vec*|Vec*us| |u32vec*|Vec*ui| |u64vec*|Vec*ul| |dmat*|Mat*d| |mat*|Mat*|. * means 1, 2, 3 or 4 for c++, but on java only 2, 3 and 4 because we didn’t port any *vec1 for the moment since there is no apparent reason. All functions with any underscore _ at the end involve implicitly an internal instantiation. They are useful for case scenario when you want the most readable and compact code. This means Glm.add_(Vec2 a, float b) does not modify a because it instantiates a new Vec2 internally. On contrary, Glm.add(Vec2 a, float b) saves the result on a, while Glm.add(Vec2 res, Vec2 a, float b) saves the result on res. All of them return the result object (Vec2 in this case) in order to give you the possibility to concatenate multiple operations in cascade. The Glm class contains all the possible calls. However to improve usability, each vec/mat class have in its own some additional functions (they will refer always to the Glm ones though). Therefore, similarly, if we have a Vec2 v and if we want to add 2, we simply call v.add(2). If we want the result to be saved on v, like v+= 2, otherwise Vec2 a = v.add_(2) and we save the result in a. However, binary operations involving a scalar in the first place can, off course, only be called by Glm, so if you want do 1.0f - v, you shall call Glm.sub(1.0f, v). Since java transforms byte and short value to int before doing any operation, we provide the same for classes involving those type, signed or unsigned. Credits: - [JOML] by [Kai Burjack] for Mat4/d.inverse(), Mat4/d.invTransp/3(), Mat4.det3(), Mat4.scale() - [jOOU] for the unsigned version for the four Java integer types (byte, short, int and long).
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Top functions reviewed by kandi - BETA
- Multiply a vector by another
- Multiply this quaternion by another quaternion
- Multiply a quaternion by a constant
- Sets the rotation of this matrix
- Sets the z axis of this matrix
- Sets the rotation axis of this matrix
- Converts this quaternion to a quaternion
- Normalize this quaternion
- Set the rotation of this matrix
- Sets the rotation of the matrix
- Sets the rotation matrix
- Define a perspective projection matrix
- Pack a 4x3 matrix into a 2 - axis matrix
- Uncompute a window from viewport
- Multiply the two vector
- Rotate a matrix around a specified angle
- Calculates the inverse of this matrix
- Rotates a matrix around the specified angle
- Calculate the look at a given camera position
- The main method for testing
- Print out euler angles
- Gets the quaternion between vectors
- Sets this quaternion from a matrix
- Sets this quaternion to the given quaternion
- Computes the horizontal perspective projection matrix
- Sets this matrix s rotation
glm Key Features
glm Examples and Code Snippets
Community Discussions
Trending Discussions on glm
QUESTION
I am trying to build a logistic regression on predicting cancer (1) or no cancer (0) using various categorical variables in the dataset.
In the raw data set, there is a "count" column that indicates the frequency of each combination.
The dataset is large, so in order to reduce the number of rows in the dataset, they added a "count" column to indicate these variables combinations happened xxx times.
How do I incorporate this count column in the logistic regression?
...ANSWER
Answered 2022-Apr-11 at 19:31You seem to have data like this.
QUESTION
I am checking out the mgcv
package in R
and I would like to know
how to update a model based on new data. For example, suppose I have the
following data and I am interested in fitting a cubic regression spline.
ANSWER
Answered 2022-Mar-07 at 00:46Here is a brief example
- Create your
smoothCon
object, usingx
QUESTION
I am working in R but have been validating my results in Stata and through doing so have observed that predict
in R is not ignoring my offset from my Poisson model. Let me explain:
I have fitted the following model in R - to model excess mortality as opposed to simply mortality (ExpDeaths is the expected deaths given each subjects age, sex, and period based on the general population and logExpDeaths in the Stata code shown next is just the natural log of ExpDeaths):
...ANSWER
Answered 2022-Feb-25 at 14:06When you call nooffset
you are simply subtracting the offset from the linear predictor.
QUESTION
I am using glm::linearRand(-1.0f, 1.0f)
to generate random floating point numbers between -1
and 1
. Afterwards, I output the percentage of numbers that are positive (0.0f
or above).
ANSWER
Answered 2022-Feb-19 at 03:31This is a bug in GLM. While the usual admonition about using %
with rand
is that the range doesn’t evenly divide RAND_MAX
, this code opts for the more straightforward approach of reducing rand()
modulo UINT8_MAX
, so that 255 is never produced. Every random value is ultimately derived from combining several such bytes, so 127/255=49.8% of the values will be in the upper half (here, positive).
QUESTION
ANSWER
Answered 2022-Feb-10 at 22:51I was able to resolve the problem. The root of the problem was the missing library libopenblas64
. This could be due to a faulty Julia installation. Here is what I have done.
First, open the Julia command line and execute the following two commands.
QUESTION
I want to perform bootstrap on this data set. Notice that the data has two factors: replicate
and level
, and two variables high.density
and low.density
that need to be regressed. I want to perform a bootstrap on this data-set but the replacements can occur only within the nested factor of replicate and level.
ANSWER
Answered 2022-Jan-20 at 13:17Here's a solution using dplyr
, purrr
, and tidyr
. First nest the numeric data, and then sample each of the unique combinations of replicate
and level
in the data. Then within those, bootstrap the unique values of the densities and then unnest for final data frame.
QUESTION
Mac Big Sur C++ OpenGL attempting to learn quaternions from a tutorial.
The gtx headers are under usr/local/include/glm
.
Can anyone figure out what is wrong with my header includes or header search path? Thanks.
Minimum reproducible code that fails for this issue:
...ANSWER
Answered 2022-Jan-06 at 05:46In tutorial 1 of the link in the comment, the author introduces
QUESTION
Model:
...ANSWER
Answered 2021-Dec-28 at 19:47If you want to do it without knowing the formula then that implies numeric differentiation. Now the input is missing from the question so let us use the example in the Note at the end so that it can actually be run -- next time please provide a complete runnable example. Then use numeric differentiation from the numDeriv package.
QUESTION
I run a glm() using robust standard errors. For a subsequent model comparison I calculate the difference of two regression models (coefficients & se). For that calculation I use the summary() function. However, the summary function of the models show different standard errors than the ones I get from coeftest(). Values for coefficients remain identical.
Input:
...ANSWER
Answered 2021-Dec-26 at 11:33The merits of lmtest::coeftest
is that it is possible to use a different covariance matrix than computed by lm()
.
QUESTION
ANSWER
Answered 2021-Nov-30 at 18:00OpenGL gives a lot of leeway for how implementations rasterize lines. It requires some desirable properties, but those do not prevent gaps when mixing x-major ('horizontal') and y-major ('vertical') lines.
First thing, the "spirit of the spec" is to rasterize half-open lines; i.e. include the first vertex and exclude the final one. For that reason you should ensure that each vertex appears exactly once as a source and once as destination:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install glm
You can use glm like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the glm component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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