代码拉取完成,页面将自动刷新
同步操作将从 李开诚/position-based-dynamic-GPU 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
确定后同步将在后台操作,完成时将刷新页面,请耐心等待。
#include "LinearAlgebra.cuh"
__device__ void vector3r_Subtraction(cuVector3r * p0, cuVector3r * p1, cuVector3r * ans) {
ans->x = p0->x - p1->x;
ans->y = p0->y - p1->y;
ans->z = p0->z - p1->z;
}
__device__ cuVector3r vector3r_Subtraction_np(cuVector3r p0, cuVector3r p1) {
cuVector3r ans;
ans.x = p0.x - p1.x;
ans.y = p0.y - p1.y;
ans.z = p0.z - p1.z;
return ans;
}
__device__ Real vector3r_norm(cuVector3r * p0) {
Real d;
d = sqrt(powf(p0->x, 2.0) + powf(p0->y, 2.0) + powf(p0->z, 2.0));
return d;
}
__device__ Real vector3r_normalize(cuVector3r * p0) {
Real d;
d = sqrt(powf(p0->x, 2.0) + powf(p0->y, 2.0) + powf(p0->z, 2.0));
p0->x = p0->x / d;
p0->y = p0->y / d;
p0->z = p0->z / d;
return d;
}
__device__ void vector3r_scalar_multiply(cuVector3r *p0, Real m, cuVector3r *res) {
res->x = p0->x * m;
res->y = p0->y * m;
res->z = p0->y * m;
}
__device__ Real vector3r_dot_multiply(cuVector3r *p0, cuVector3r *p1) {
Real d;
d = p0->x*p1->x + p0->y * p1->y + p0->z* p1->z;
return d;
}
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