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de.bixilon.kotlinglm.func_Mat.kt Maven / Gradle / Ivy
package de.bixilon.kotlinglm
import de.bixilon.kotlinglm.mat2x2.Mat2
import de.bixilon.kotlinglm.mat2x2.Mat2d
import de.bixilon.kotlinglm.mat3x3.Mat3
import de.bixilon.kotlinglm.mat3x3.Mat3d
import de.bixilon.kotlinglm.mat4x4.Mat4
import de.bixilon.kotlinglm.mat4x4.Mat4d
import de.bixilon.kotlinglm.vec2.Vec2
import de.bixilon.kotlinglm.vec3.Vec3
import de.bixilon.kotlinglm.vec4.Vec4
/**
* Created by GBarbieri on 15.12.2016.
*/
interface func_Mat {
/**
* JVM custom
*/
fun cleanTranslation(res: Mat4, m: Mat4): Mat4 {
res put m
res.v30 = 0f
res.v31 = 0f
res.v32 = 0f
res.v33 = 1f
return res
}
fun transpose(m: Mat2) = transpose(Mat2(), m)
fun transpose(res: Mat2, m: Mat2): Mat2 {
val v00 = m[0, 0]
val v01 = m[1, 0]
val v10 = m[0, 1]
val v11 = m[1, 1]
res[0, 0] = v00
res[0, 1] = v01
res[1, 0] = v10
res[1, 1] = v11
return res
}
fun transpose(m: Mat2d) = transpose(Mat2d(), m)
fun transpose(res: Mat2d, m: Mat2d): Mat2d {
val v00 = m[0, 0]
val v01 = m[1, 0]
val v10 = m[0, 1]
val v11 = m[1, 1]
res[0, 0] = v00
res[0, 1] = v01
res[1, 0] = v10
res[1, 1] = v11
return res
}
fun transpose(m: Mat3) = transpose(Mat3(), m)
fun transpose(res: Mat3, m: Mat3): Mat3 {
val v00 = m[0, 0]
val v01 = m[1, 0]
val v02 = m[2, 0]
val v10 = m[0, 1]
val v11 = m[1, 1]
val v12 = m[2, 1]
val v20 = m[0, 2]
val v21 = m[1, 2]
val v22 = m[2, 2]
res[0, 0] = v00
res[0, 1] = v01
res[0, 2] = v02
res[1, 0] = v10
res[1, 1] = v11
res[1, 2] = v12
res[2, 0] = v20
res[2, 1] = v21
res[2, 2] = v22
return res
}
fun transpose(m: Mat3d) = transpose(Mat3d(), m)
fun transpose(res: Mat3d, m: Mat3d): Mat3d {
val v00 = m[0, 0]
val v01 = m[1, 0]
val v02 = m[2, 0]
val v10 = m[0, 1]
val v11 = m[1, 1]
val v12 = m[2, 1]
val v20 = m[0, 2]
val v21 = m[1, 2]
val v22 = m[2, 2]
res[0, 0] = v00
res[0, 1] = v01
res[0, 2] = v02
res[1, 0] = v10
res[1, 1] = v11
res[1, 2] = v12
res[2, 0] = v20
res[2, 1] = v21
res[2, 2] = v22
return res
}
fun transpose(m: Mat4) = transpose(Mat4(), m)
fun transpose(res: Mat4, m: Mat4): Mat4 {
val v00 = m[0, 0]
val v01 = m[1, 0]
val v02 = m[2, 0]
val v03 = m[3, 0]
val v10 = m[0, 1]
val v11 = m[1, 1]
val v12 = m[2, 1]
val v13 = m[3, 1]
val v20 = m[0, 2]
val v21 = m[1, 2]
val v22 = m[2, 2]
val v23 = m[3, 2]
val v30 = m[0, 3]
val v31 = m[1, 3]
val v32 = m[2, 3]
val v33 = m[3, 3]
res[0, 0] = v00
res[0, 1] = v01
res[0, 2] = v02
res[0, 3] = v03
res[1, 0] = v10
res[1, 1] = v11
res[1, 2] = v12
res[1, 3] = v13
res[2, 0] = v20
res[2, 1] = v21
res[2, 2] = v22
res[2, 3] = v23
res[3, 0] = v30
res[3, 1] = v31
res[3, 2] = v32
res[3, 3] = v33
return res
}
fun transpose(m: Mat4d) = transpose(Mat4d(), m)
fun transpose(res: Mat4d, m: Mat4d): Mat4d {
val v00 = m[0, 0]
val v01 = m[1, 0]
val v02 = m[2, 0]
val v03 = m[3, 0]
val v10 = m[0, 1]
val v11 = m[1, 1]
val v12 = m[2, 1]
val v13 = m[3, 1]
val v20 = m[0, 2]
val v21 = m[1, 2]
val v22 = m[2, 2]
val v23 = m[3, 2]
val v30 = m[0, 3]
val v31 = m[1, 3]
val v32 = m[2, 3]
val v33 = m[3, 3]
res[0, 0] = v00
res[0, 1] = v01
res[0, 2] = v02
res[0, 3] = v03
res[1, 0] = v10
res[1, 1] = v11
res[1, 2] = v12
res[1, 3] = v13
res[2, 0] = v20
res[2, 1] = v21
res[2, 2] = v22
res[2, 3] = v23
res[3, 0] = v30
res[3, 1] = v31
res[3, 2] = v32
res[3, 3] = v33
return res
}
fun determinant(m: Mat2) = m[0, 0] * m[1, 1] - m[1, 0] * m[0, 1]
fun determinant(m: Mat2d) = m[0, 0] * m[1, 1] - m[1, 0] * m[0, 1]
fun determinant(m: Mat3) = m[0, 0] * (m[1, 1] * m[2, 2] - m[2, 1] * m[1, 2]) -
m[1, 0] * (m[0, 1] * m[2, 2] - m[2, 1] * m[0, 2]) +
m[2, 0] * (m[0, 1] * m[1, 2] - m[1, 1] * m[0, 2])
fun determinant(m: Mat3d) = m[0, 0] * (m[1, 1] * m[2, 2] - m[2, 1] * m[1, 2]) -
m[1, 0] * (m[0, 1] * m[2, 2] - m[2, 1] * m[0, 2]) +
m[2, 0] * (m[0, 1] * m[1, 2] - m[1, 1] * m[0, 2])
fun determinant(m: Mat4): Float {
val sf00 = m[2, 2] * m[3, 3] - m[3, 2] * m[2, 3]
val sf01 = m[2, 1] * m[3, 3] - m[3, 1] * m[2, 3]
val sf02 = m[2, 1] * m[3, 2] - m[3, 1] * m[2, 2]
val sf03 = m[2, 0] * m[3, 3] - m[3, 0] * m[2, 3]
val sf04 = m[2, 0] * m[3, 2] - m[3, 0] * m[2, 2]
val sf05 = m[2, 0] * m[3, 1] - m[3, 0] * m[2, 1]
val dcX = +(m[1, 1] * sf00 - m[1, 2] * sf01 + m[1, 3] * sf02)
val dcY = -(m[1, 0] * sf00 - m[1, 2] * sf03 + m[1, 3] * sf04)
val dcZ = +(m[1, 0] * sf01 - m[1, 1] * sf03 + m[1, 3] * sf05)
val dcW = -(m[1, 0] * sf02 - m[1, 1] * sf04 + m[1, 2] * sf05)
return m[0, 0] * dcX + m[0, 1] * dcY + m[0, 2] * dcZ + m[0, 3] * dcW
}
fun determinant(m: Mat4d): Double {
val sf00 = m[2, 2] * m[3, 3] - m[3, 2] * m[2, 3]
val sf01 = m[2, 1] * m[3, 3] - m[3, 1] * m[2, 3]
val sf02 = m[2, 1] * m[3, 2] - m[3, 1] * m[2, 2]
val sf03 = m[2, 0] * m[3, 3] - m[3, 0] * m[2, 3]
val sf04 = m[2, 0] * m[3, 2] - m[3, 0] * m[2, 2]
val sf05 = m[2, 0] * m[3, 1] - m[3, 0] * m[2, 1]
val dcX = +(m[1, 1] * sf00 - m[1, 2] * sf01 + m[1, 3] * sf02)
val dcY = -(m[1, 0] * sf00 - m[1, 2] * sf03 + m[1, 3] * sf04)
val dcZ = +(m[1, 0] * sf01 - m[1, 1] * sf03 + m[1, 3] * sf05)
val dcW = -(m[1, 0] * sf02 - m[1, 1] * sf04 + m[1, 2] * sf05)
return m[0, 0] * dcX + m[0, 1] * dcY + m[0, 2] * dcZ + m[0, 3] * dcW
}
fun inverse(m: Mat2) = inverse(Mat2(), m)
fun inverse(res: Mat2, m: Mat2): Mat2 {
val oneOverDet = 1 / m.det
val res00 = +m[1, 1] * oneOverDet
val res01 = -m[0, 1] * oneOverDet
val res10 = -m[1, 0] * oneOverDet
val res11 = +m[0, 0] * oneOverDet
res[0, 0] = res00
res[0, 1] = res01
res[1, 0] = res10
res[1, 1] = res11
return res
}
fun inverse(m: Mat2d) = inverse(Mat2d(), m)
fun inverse(res: Mat2d, m: Mat2d): Mat2d {
val oneOverDet = 1 / m.det
val res00 = +m[1, 1] * oneOverDet
val res01 = -m[0, 1] * oneOverDet
val res10 = -m[1, 0] * oneOverDet
val res11 = +m[0, 0] * oneOverDet
res[0, 0] = res00
res[0, 1] = res01
res[1, 0] = res10
res[1, 1] = res11
return res
}
fun inverse(m: Mat3) = inverse(Mat3(), m)
fun inverse(res: Mat3, m: Mat3): Mat3 {
val oneOverDet = 1 / m.det
val res00 = +(m[1, 1] * m[2, 2] - m[2, 1] * m[1, 2]) * oneOverDet
val res10 = -(m[1, 0] * m[2, 2] - m[2, 0] * m[1, 2]) * oneOverDet
val res20 = +(m[1, 0] * m[2, 1] - m[2, 0] * m[1, 1]) * oneOverDet
val res01 = -(m[0, 1] * m[2, 2] - m[2, 1] * m[0, 2]) * oneOverDet
val res11 = +(m[0, 0] * m[2, 2] - m[2, 0] * m[0, 2]) * oneOverDet
val res21 = -(m[0, 0] * m[2, 1] - m[2, 0] * m[0, 1]) * oneOverDet
val res02 = +(m[0, 1] * m[1, 2] - m[1, 1] * m[0, 2]) * oneOverDet
val res12 = -(m[0, 0] * m[1, 2] - m[1, 0] * m[0, 2]) * oneOverDet
val res22 = +(m[0, 0] * m[1, 1] - m[1, 0] * m[0, 1]) * oneOverDet
res[0, 0] = res00
res[0, 1] = res01
res[0, 2] = res02
res[1, 0] = res10
res[1, 1] = res11
res[1, 2] = res12
res[2, 0] = res20
res[2, 1] = res21
res[2, 2] = res22
return res
}
fun inverse(m: Mat3d) = inverse(Mat3d(), m)
fun inverse(res: Mat3d, m: Mat3d): Mat3d {
val oneOverDet = 1 / m.det
val res00 = +(m[1, 1] * m[2, 2] - m[2, 1] * m[1, 2]) * oneOverDet
val res10 = -(m[1, 0] * m[2, 2] - m[2, 0] * m[1, 2]) * oneOverDet
val res20 = +(m[1, 0] * m[2, 1] - m[2, 0] * m[1, 1]) * oneOverDet
val res01 = -(m[0, 1] * m[2, 2] - m[2, 1] * m[0, 2]) * oneOverDet
val res11 = +(m[0, 0] * m[2, 2] - m[2, 0] * m[0, 2]) * oneOverDet
val res21 = -(m[0, 0] * m[2, 1] - m[2, 0] * m[0, 1]) * oneOverDet
val res02 = +(m[0, 1] * m[1, 2] - m[1, 1] * m[0, 2]) * oneOverDet
val res12 = -(m[0, 0] * m[1, 2] - m[1, 0] * m[0, 2]) * oneOverDet
val res22 = +(m[0, 0] * m[1, 1] - m[1, 0] * m[0, 1]) * oneOverDet
res[0, 0] = res00
res[0, 1] = res01
res[0, 2] = res02
res[1, 0] = res10
res[1, 1] = res11
res[1, 2] = res12
res[2, 0] = res20
res[2, 1] = res21
res[2, 2] = res22
return res
}
fun inverse(m: Mat4) = inverse(Mat4(), m)
fun inverse(res: Mat4, m: Mat4): Mat4 {
val c00 = m[2, 2] * m[3, 3] - m[3, 2] * m[2, 3]
val c02 = m[1, 2] * m[3, 3] - m[3, 2] * m[1, 3]
val c03 = m[1, 2] * m[2, 3] - m[2, 2] * m[1, 3]
val c04 = m[2, 1] * m[3, 3] - m[3, 1] * m[2, 3]
val c06 = m[1, 1] * m[3, 3] - m[3, 1] * m[1, 3]
val c07 = m[1, 1] * m[2, 3] - m[2, 1] * m[1, 3]
val c08 = m[2, 1] * m[3, 2] - m[3, 1] * m[2, 2]
val c10 = m[1, 1] * m[3, 2] - m[3, 1] * m[1, 2]
val c11 = m[1, 1] * m[2, 2] - m[2, 1] * m[1, 2]
val c12 = m[2, 0] * m[3, 3] - m[3, 0] * m[2, 3]
val c14 = m[1, 0] * m[3, 3] - m[3, 0] * m[1, 3]
val c15 = m[1, 0] * m[2, 3] - m[2, 0] * m[1, 3]
val c16 = m[2, 0] * m[3, 2] - m[3, 0] * m[2, 2]
val c18 = m[1, 0] * m[3, 2] - m[3, 0] * m[1, 2]
val c19 = m[1, 0] * m[2, 2] - m[2, 0] * m[1, 2]
val c20 = m[2, 0] * m[3, 1] - m[3, 0] * m[2, 1]
val c22 = m[1, 0] * m[3, 1] - m[3, 0] * m[1, 1]
val c23 = m[1, 0] * m[2, 1] - m[2, 0] * m[1, 1]
val i00 = +(m[1, 1] * c00 - m[1, 2] * c04 + m[1, 3] * c08)
val i01 = -(m[0, 1] * c00 - m[0, 2] * c04 + m[0, 3] * c08)
val i02 = +(m[0, 1] * c02 - m[0, 2] * c06 + m[0, 3] * c10)
val i03 = -(m[0, 1] * c03 - m[0, 2] * c07 + m[0, 3] * c11)
val i10 = -(m[1, 0] * c00 - m[1, 2] * c12 + m[1, 3] * c16)
val i11 = +(m[0, 0] * c00 - m[0, 2] * c12 + m[0, 3] * c16)
val i12 = -(m[0, 0] * c02 - m[0, 2] * c14 + m[0, 3] * c18)
val i13 = +(m[0, 0] * c03 - m[0, 2] * c15 + m[0, 3] * c19)
val i20 = +(m[1, 0] * c04 - m[1, 1] * c12 + m[1, 3] * c20)
val i21 = -(m[0, 0] * c04 - m[0, 1] * c12 + m[0, 3] * c20)
val i22 = +(m[0, 0] * c06 - m[0, 1] * c14 + m[0, 3] * c22)
val i23 = -(m[0, 0] * c07 - m[0, 1] * c15 + m[0, 3] * c23)
val i30 = -(m[1, 0] * c08 - m[1, 1] * c16 + m[1, 2] * c20)
val i31 = +(m[0, 0] * c08 - m[0, 1] * c16 + m[0, 2] * c20)
val i32 = -(m[0, 0] * c10 - m[0, 1] * c18 + m[0, 2] * c22)
val i33 = +(m[0, 0] * c11 - m[0, 1] * c19 + m[0, 2] * c23)
val oneOverDet = 1 / (m[0, 0] * i00 + m[0, 1] * i10 + m[0, 2] * i20 + m[0, 3] * i30)
res[0, 0] = i00 * oneOverDet
res[0, 1] = i01 * oneOverDet
res[0, 2] = i02 * oneOverDet
res[0, 3] = i03 * oneOverDet
res[1, 0] = i10 * oneOverDet
res[1, 1] = i11 * oneOverDet
res[1, 2] = i12 * oneOverDet
res[1, 3] = i13 * oneOverDet
res[2, 0] = i20 * oneOverDet
res[2, 1] = i21 * oneOverDet
res[2, 2] = i22 * oneOverDet
res[2, 3] = i23 * oneOverDet
res[3, 0] = i30 * oneOverDet
res[3, 1] = i31 * oneOverDet
res[3, 2] = i32 * oneOverDet
res[3, 3] = i33 * oneOverDet
return res
}
fun inverse(m: Mat4d) = inverse(Mat4d(), m)
fun inverse(res: Mat4d, m: Mat4d): Mat4d {
val c00 = m[2, 2] * m[3, 3] - m[3, 2] * m[2, 3]
val c02 = m[1, 2] * m[3, 3] - m[3, 2] * m[1, 3]
val c03 = m[1, 2] * m[2, 3] - m[2, 2] * m[1, 3]
val c04 = m[2, 1] * m[3, 3] - m[3, 1] * m[2, 3]
val c06 = m[1, 1] * m[3, 3] - m[3, 1] * m[1, 3]
val c07 = m[1, 1] * m[2, 3] - m[2, 1] * m[1, 3]
val c08 = m[2, 1] * m[3, 2] - m[3, 1] * m[2, 2]
val c10 = m[1, 1] * m[3, 2] - m[3, 1] * m[1, 2]
val c11 = m[1, 1] * m[2, 2] - m[2, 1] * m[1, 2]
val c12 = m[2, 0] * m[3, 3] - m[3, 0] * m[2, 3]
val c14 = m[1, 0] * m[3, 3] - m[3, 0] * m[1, 3]
val c15 = m[1, 0] * m[2, 3] - m[2, 0] * m[1, 3]
val c16 = m[2, 0] * m[3, 2] - m[3, 0] * m[2, 2]
val c18 = m[1, 0] * m[3, 2] - m[3, 0] * m[1, 2]
val c19 = m[1, 0] * m[2, 2] - m[2, 0] * m[1, 2]
val c20 = m[2, 0] * m[3, 1] - m[3, 0] * m[2, 1]
val c22 = m[1, 0] * m[3, 1] - m[3, 0] * m[1, 1]
val c23 = m[1, 0] * m[2, 1] - m[2, 0] * m[1, 1]
val i00 = +(m[1, 1] * c00 - m[1, 2] * c04 + m[1, 3] * c08)
val i01 = -(m[0, 1] * c00 - m[0, 2] * c04 + m[0, 3] * c08)
val i02 = +(m[0, 1] * c02 - m[0, 2] * c06 + m[0, 3] * c10)
val i03 = -(m[0, 1] * c03 - m[0, 2] * c07 + m[0, 3] * c11)
val i10 = -(m[1, 0] * c00 - m[1, 2] * c12 + m[1, 3] * c16)
val i11 = +(m[0, 0] * c00 - m[0, 2] * c12 + m[0, 3] * c16)
val i12 = -(m[0, 0] * c02 - m[0, 2] * c14 + m[0, 3] * c18)
val i13 = +(m[0, 0] * c03 - m[0, 2] * c15 + m[0, 3] * c19)
val i20 = +(m[1, 0] * c04 - m[1, 1] * c12 + m[1, 3] * c20)
val i21 = -(m[0, 0] * c04 - m[0, 1] * c12 + m[0, 3] * c20)
val i22 = +(m[0, 0] * c06 - m[0, 1] * c14 + m[0, 3] * c22)
val i23 = -(m[0, 0] * c07 - m[0, 1] * c15 + m[0, 3] * c23)
val i30 = -(m[1, 0] * c08 - m[1, 1] * c16 + m[1, 2] * c20)
val i31 = +(m[0, 0] * c08 - m[0, 1] * c16 + m[0, 2] * c20)
val i32 = -(m[0, 0] * c10 - m[0, 1] * c18 + m[0, 2] * c22)
val i33 = +(m[0, 0] * c11 - m[0, 1] * c19 + m[0, 2] * c23)
val oneOverDet = 1 / (m[0, 0] * i00 + m[0, 1] * i10 + m[0, 2] * i20 + m[0, 3] * i30)
res[0, 0] = i00 * oneOverDet
res[0, 1] = i01 * oneOverDet
res[0, 2] = i02 * oneOverDet
res[0, 3] = i03 * oneOverDet
res[1, 0] = i10 * oneOverDet
res[1, 1] = i11 * oneOverDet
res[1, 2] = i12 * oneOverDet
res[1, 3] = i13 * oneOverDet
res[2, 0] = i20 * oneOverDet
res[2, 1] = i21 * oneOverDet
res[2, 2] = i22 * oneOverDet
res[2, 3] = i23 * oneOverDet
res[3, 0] = i30 * oneOverDet
res[3, 1] = i31 * oneOverDet
res[3, 2] = i32 * oneOverDet
res[3, 3] = i33 * oneOverDet
return res
}
/**
* Multiply matrix x by matrix y component-wise, getI.e.,
*/
fun matrixCompMult(res: Mat2, a: Mat2, b: Mat2): Mat2 {
res[0, 0] = a[0, 0] * b[0, 0]
res[0, 1] = a[0, 1] * b[0, 1]
res[1, 0] = a[1, 0] * b[1, 0]
res[1, 1] = a[1, 1] * b[1, 1]
return res
}
fun matrixCompMult(a: Mat2, b: Mat2) = matrixCompMult(Mat2(), a, b)
/**
* Multiply matrix x by matrix y component-wise, getI.e.,
*/
fun matrixCompMult(res: Mat3, a: Mat3, b: Mat3): Mat3 {
res[0, 0] = a[0, 0] * b[0, 0]
res[0, 1] = a[0, 1] * b[0, 1]
res[0, 2] = a[0, 2] * b[0, 2]
res[1, 0] = a[1, 0] * b[1, 0]
res[1, 1] = a[1, 1] * b[1, 1]
res[1, 2] = a[1, 2] * b[1, 2]
res[2, 0] = a[2, 0] * b[2, 0]
res[2, 1] = a[2, 1] * b[2, 1]
res[2, 2] = a[2, 2] * b[2, 2]
return res
}
fun matrixCompMult(a: Mat3, b: Mat3) = matrixCompMult(Mat3(), a, b)
/**
* Multiply matrix x by matrix y component-wise, getI.e.,
*/
fun matrixCompMult(res: Mat4, a: Mat4, b: Mat4): Mat4 {
res[0, 0] = a[0, 0] * b[0, 0]
res[0, 1] = a[0, 1] * b[0, 1]
res[0, 2] = a[0, 2] * b[0, 2]
res[0, 3] = a[0, 3] * b[0, 3]
res[1, 0] = a[1, 0] * b[1, 0]
res[1, 1] = a[1, 1] * b[1, 1]
res[1, 2] = a[1, 2] * b[1, 2]
res[1, 3] = a[1, 3] * b[1, 3]
res[2, 0] = a[2, 0] * b[2, 0]
res[2, 1] = a[2, 1] * b[2, 1]
res[2, 2] = a[2, 2] * b[2, 2]
res[2, 3] = a[2, 3] * b[2, 3]
res[3, 0] = a[3, 0] * b[3, 0]
res[3, 1] = a[3, 1] * b[3, 1]
res[3, 2] = a[3, 2] * b[3, 2]
res[3, 3] = a[3, 3] * b[3, 3]
return res
}
fun matrixCompMult(a: Mat4, b: Mat4) = matrixCompMult(Mat4(), a, b)
/**
* Treats the first parameter c as a column vector and the second parameter r as a row vector and does a linear
* algebraic matrix multiply c * r.
*/
fun outerProduct(res: Mat2, c: Vec2, r: Vec2): Mat2 {
res[0].x = c.x * r[0]
res[0].y = c.y * r[0]
res[1].x = c.x * r[1]
res[1].y = c.y * r[1]
return res
}
fun outerProduct(c: Vec2, r: Vec2) = outerProduct(Mat2(), c, r)
/**
* Treats the first parameter c as a column vector and the second parameter r as a row vector and does a linear
* algebraic matrix multiply c * r.
*/
fun outerProduct(res: Mat3, c: Vec3, r: Vec3): Mat3 {
res[0].x = c.x * r[0]
res[0].y = c.y * r[0]
res[0].z = c.z * r[0]
res[1].x = c.x * r[1]
res[1].y = c.y * r[1]
res[1].z = c.z * r[1]
res[2].x = c.x * r[2]
res[2].y = c.y * r[2]
res[2].z = c.z * r[2]
return res
}
fun outerProduct(c: Vec3, r: Vec3) = outerProduct(Mat3(), c, r)
/**
* Treats the first parameter c as a column vector and the second parameter r as a row vector and does a linear
* algebraic matrix multiply c * r.
*/
fun outerProduct(res: Mat4, c: Vec4, r: Vec4): Mat4 {
res[0].x = c.x * r[0]
res[0].y = c.y * r[0]
res[0].z = c.z * r[0]
res[0].w = c.w * r[0]
res[1].x = c.x * r[1]
res[1].y = c.y * r[1]
res[1].z = c.z * r[1]
res[1].w = c.w * r[1]
res[2].x = c.x * r[2]
res[2].y = c.y * r[2]
res[2].z = c.z * r[2]
res[2].w = c.w * r[2]
res[3].x = c.x * r[3]
res[3].y = c.y * r[3]
res[3].z = c.z * r[3]
res[3].w = c.w * r[3]
return res
}
fun outerProduct(c: Vec4, r: Vec4) = outerProduct(Mat4(), c, r)
// TODO other matrices
}
