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[UCSD白板题] Minimum Dot Product

Problem Introduction The dot product of two sequences \(a_1,a_2,\cdots,a_n\) and \(b_1,b_2,\cdots,b_n\) of the same length is equal to \(\sum\limits_{i=1}^na_ib_i=a_1b_1+a_2b_2+\cdots+a_nb_n\) Problem Description Task.The goal is,given two sequences…

Dot Product

These are vectors: They can be multiplied using the "Dot Product" (also see Cross Product). Calculating You can calculate the Dot Product of two vectors this way: a · b = |a| × |b| × cos(θ) Where:|a| is the magnitude (length) of vector a|b| is t…

FB面经Prepare: Dot Product

Conduct Dot Product of two large Vectors 1. two pointers 2. hashmap 3. 如果没有额外空间,如果一个很大,一个很小,适合scan小的,并且在大的里面做binary search package fb; public class DotProduct { public int dotPro(int[][] v1, int[][] v2) { int[][] shortV; int[][] longV; if (v1.length…

CUDA Samples: dot product(使用零拷贝内存)

以下CUDA sample是分别用C++和CUDA实现的点积运算code,CUDA包括普通实现和采用零拷贝内存实现两种,并对其中使用到的CUDA函数进行了解说,code参考了<GPU高性能编程CUDA实战>一书的第十一章,各个文件内容如下: funset.cpp: #include "funset.hpp" #include <random> #include <iostream> #include <vector> #include &…

向量点积(Dot Product),向量叉积(Cross Product)

参考的是<游戏和图形学的3D数学入门教程>,非常不错的书,推荐阅读,老外很喜欢把一个东西解释的很详细. 1.向量点积(Dot Product) 向量点积的结果有什么意义?事实上,向量的点积结果跟两个向量之间的角度有关. 2.向量叉积(Cross Product) 两个向量a,b,它们的叉积表示为axb,这个很容易跟数学中两个数字之间的相乘,但是这里是完全不同的. 两个向量叉积在图形坐标中就很直观了,axb同时垂直与a和b. 我们很容易验证axb是否同时垂直a和b向量.根据向量乘积的知识,我们只…

Linear Equations

4.1 Linear Equations with One Independent Variable…

Linear Equations in Linear Algebra

Linear System Vector Equations The Matrix Equation Solution Sets of Linear Systems Linear Indenpendent Introduction to Linear Transformation The Matrix of Linear Transformation The Matrix of a Linear Transformation…

CUDA Samples: Dot Product

以下CUDA sample是分别用C++和CUDA实现的两个非常大的向量实现点积操作,并对其中使用到的CUDA函数进行了解说,各个文件内容如下: common.hpp: #ifndef FBC_CUDA_TEST_COMMON_HPP_ #define FBC_CUDA_TEST_COMMON_HPP_ #include<random> template< typename T > static inline int check_Cuda(T result, const char…

Beginning Math and Physics For Game Programmers (Wendy Stahler 著)

Chapter 1. Points and Lines (已看) Chapter 2. Geometry Snippets (已看) Chapter 3. Trigonometry Snippets (已看) Chapter 4. Vector Operations (已看) Chapter 5. Matrix Operations (已看) Chapter 6. Transformations (已看) Chapter 7. Unit Convensions (已看) Chapter 8. M…

线性代数导论 | Linear Algebra 课程

搞统计的线性代数和概率论必须精通,最好要能锻炼出直觉,再学机器学习才会事半功倍. 线性代数只推荐Prof. Gilbert Strang的MIT课程,有视频,有教材,有习题,有考试,一套学下来基本就入门了. 不多,一共10次课. 链接:https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/calendar/ SES # TOPICS KEY DATES 1 The geometry of linear e…