Recently, I compared a few methods for compressing generic unit vectors. The method used in Cry Engine 3 for compressing normal vectors is irrelevant here, because it has a limitation that the z component cannot be -1. Since it's only designed for vi…
// Copyright Epic Games, Inc. All Rights Reserved. #pragma once #include "CoreMinimal.h" #include "UObject/Script.h" #include "UObject/ObjectMacros.h" #include "Math/RandomStream.h" #include "Templates/Subclass…
https://chortle.ccsu.edu/VectorLessons/index.html Chapter0 Points and Lines (已看) Chapter1 Vectors, Points, and Column Matrices (已看) Chapter2 Matrix Addition (已看) Chapter3 Vector Addition (已看) Chapter4 Vector Length (已看) Chapter5 Vector Direction (已看)…
Tag DirectX下的博客主要用于记录DirectX的学习过程,主要参考<DirectX 12 3D 游戏实战开发>. Vector in DirectX Shader的编写离不开数学运算,尤其是向量矩阵类型的运算,DirectX为我们准备了一个完备的数学库DirectXMath.h,里面封装了常用的向量矩阵类型,并且重载了许多方法,如点积.叉积.矩阵乘法等.DirectXMath是Windows SDK的一部分,是为D3D打造的3D数学库,采用SIMD指令集加速向量运算,如:单条SIMD…
实现我们分类数字的网络 好,让我们使用随机梯度下降和 MNIST训练数据来写一个程序来学习怎样识别手写数字. 我们用Python (2.7) 来实现.只有 74 行代码!我们需要的第一个东西是 MNIST数据.如果有 github 账号,你可以将这些代码库克隆下来, git clone https://github.com/mnielsen/neural-networks-and-deep-learning.git 或者你可以到这里 下载. 顺便说一下, 当我先前说到 MNIST 数据集时,我说…
原文地址http://www.starlino.com/imu_guide.html Introduction There’s now a FRENCH translation of this article in PDF. Thanks to Daniel Le Guern! This guide is intended to everyone interested in inertial MEMS (Micro-Electro-Mechanical Systems) sensors, in…
When a golf player is first learning to play golf, they usually spend most of their time developing a basic swing. Only gradually do they develop other shots, learning to chip, draw and fade the ball, building on and modifying their basic swing. In a…
>20161011 :数据导入研究    0.sqoop报warning,需要安装accumulo:    1.下载Microsoft sql server jdbc, 使用ie下载,将42版jar包放入sqoop的lib下,注意所有自动安装的hadoop相关软件被置于/usr/hdp目录下    2.sqoop list-databases --connect jdbc:sqlserver://172.4.25.98 --username sa --password sa12345    3.…
What is an eigenvector of a covariance matrix? One of the most intuitive explanations of eigenvectors of a covariance matrix is that they are the directions in which the data varies the most. (More precisely, the first eigenvector is the direction in…