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  • pdf文档 Designing a Slimmer Vector of Variants

    L.P. All rights reserved.© 2024 Bloomberg Finance L.P. All rights reserved. Designing a Slimmer Vector of Variants CppCon 2024 September 18, 2024 Chris Fretz Senior C++ Engineer 2© 2024 Bloomberg details my experience in creating a novel solution to an observed problem with memory usage of std::vector> • The talk starts with the motivating use case, considers several candidate Heterogeneous containers like std::vector> are an extremely natural way to represent data across many different paradigms • Naive usage of std::vector> can result in
    0 码力 | 64 页 | 1.98 MB | 5 月前
    3
  • pdf文档 Back to Basics Almost Always Vector

    1#include #include #include <vector> int a[] = {0, 1, 2, 3, 4}; std::vector c = {0, 1, 2, 3, 4}; auto main() -> int { std::cout << "C style array: " << sizeof(a) / sizeof(a[0]) sizeof(a[0]) << std::endl; std::cout << "Vector size: " << c.size() << std::endl; return 0; } 1 2 3 4 5 6 7 8 9 10 11 12 13 14 https://www.reddit.com/r/cpp/comments/qm6i25/my_professor_is_telling _us_to_never_use_vectors/ 2more std::vector? 3How do you read a technical book front to back? As a technical editor... 4#include int main() { int cppconEarlyYears[6] = {2014, 2015, 2016
    0 码力 | 62 页 | 4.86 MB | 5 月前
    3
  • pdf文档 Lecture Notes on Support Vector Machine

    Lecture Notes on Support Vector Machine Feng Li fli@sdu.edu.cn Shandong University, China 1 Hyperplane and Margin In a n-dimensional space, a hyper plane is defined by ωT x + b = 0 (1) where ω ∈ Rn Rn is the outward pointing normal vector, and b is the bias term. The n-dimensional space is separated into two half-spaces H+ = {x ∈ Rn | ωT x + b ≥ 0} and H− = {x ∈ Rn | ωT x + b < 0} by the hyperplane margin is defined as γ = min i γ(i) (6) 1 ? ? ! ? ! Figure 1: Margin and hyperplane. 2 Support Vector Machine 2.1 Formulation The hyperplane actually serves as a decision boundary to differentiating
    0 码力 | 18 页 | 509.37 KB | 1 年前
    3
  • pdf文档 Lecture 6: Support Vector Machine

    Lecture 6: Support Vector Machine Feng Li Shandong University fli@sdu.edu.cn December 28, 2021 Feng Li (SDU) SVM December 28, 2021 1 / 82 Outline 1 SVM: A Primal Form 2 Convex Optimization Review Hyperplane Separates a n-dimensional space into two half-spaces Defined by an outward pointing normal vector ω ∈ Rn Assumption: The hyperplane passes through origin. If not, have a bias term b; we will then along ω (b < 0 means in opposite direction) Feng Li (SDU) SVM December 28, 2021 3 / 82 Support Vector Machine A hyperplane based linear classifier defined by ω and b Prediction rule: y = sign(ωTx +
    0 码力 | 82 页 | 773.97 KB | 1 年前
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  • ppt文档 C++高性能并行编程与优化 - 课件 - 13 C++ STL 容器全解之 vector

    C++ STL 容器全解之 vector by 彭于斌( @archibate ) 往期录播: https://www.bilibili.com/video/BV1fa411r7zp 课程 PPT 和代码: https://github.com/parallel101/course C++ 标准库五大件:容器( container ) C++ 标准库五大件:迭代器( iterator STL 侯捷 STL vector 容器 vector 容器:构造函数 • vector 的功能是长度可变的数组,他里面的数据 存储在堆上。 • vector 是一个模板类,第一个模板参数是数组里 元素的类型。 • 例如,声明一个元素是 int 类型的动态数组 a : • vector a; vector 容器:构造函数和 size • vector 可以在构造时指定初始长度。 explicit vector(size_t n); • 例如,要创建一个长度为 4 的 int 型数组 : • vector a(4); • 之后可以通过 a.size() 获得数组的长度。 • 比如右边这段代码会得到 4 。 • size_t size() const noexcept; vector 容器: operator[] • 要访问 vector 里的元素,只需用
    0 码力 | 90 页 | 4.93 MB | 1 年前
    3
  • pdf文档 Better Code: Contracts

    Reserved. zip_vector template 
 class zip_vector { vector _first;
 vector _second; public: const vector& first() const { return _first; }
 const vector& second() Reserved. zip_vector template 
 class zip_vector { vector _first;
 vector _second; public: const vector& first() const { return _first; }
 const vector& second() Reserved. zip_vector template 
 class zip_vector { vector _first;
 vector _second; public: const vector& first() const { return _first; }
 const vector& second()
    0 码力 | 204 页 | 4.46 MB | 5 月前
    3
  • pdf文档 Cache-Friendly Design in Robot Path Planning

    // std::map #include <vector> // std::vector class TerminateAtGoal { private: VertexID goal_; std::priority_queuevector, std::greater> // std::map #include <vector> // std::vector class TerminateAtGoal { private: VertexID goal_; std::priority_queuevector, std::greater> // std::map #include <vector> // std::vector 1 2 3 4 5 class TerminateAtGoal 6 { 7 private: 8 VertexID goal_; 9 10 std::priority_queuevector, std::greater>
    0 码力 | 216 页 | 10.68 MB | 5 月前
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  • pdf文档 Noexcept: Enabling Testing of Contract Checks

    2023 (CC BY 4.0) 9 int a, b; vector v; static_assert(noexcept(a + b)); // OK, int addition can't throw static_assert(noexcept(v.empty())); // OK, vector::empty can't throw static_assert(noexcept(v preconditions have been met • Example contract for vector::pop_back() : • Precondition: the vector is not empty • Postcondition: the last element of the vector has been removed 4-Oct-23 Pablo Halpern and Timur addition • Example: vector::size() • A function has a narrow contract if it has preconditions: • Example: signed integer addition (precondition: a + b will not over/underflow) • Example: vector::front() (precondition:
    0 码力 | 90 页 | 1.38 MB | 5 月前
    3
  • pdf文档 Thinking Functionally In C++

    implementation std::vector GetBirthdayEmployeesThisWeek() { const auto allEmployees = GetCurrentEmployees(); const auto dateRange = GetThisWeekDateRange(); std::vector birthdayEmployees; implementation std::vector GetBirthdayEmployeesThisWeek() { const auto allEmployees = GetCurrentEmployees(); const auto dateRange = GetThisWeekDateRange(); std::vector birthdayEmployees; implementation std::vector GetBirthdayEmployeesThisWeek() { const auto allEmployees = GetCurrentEmployees(); const auto dateRange = GetThisWeekDateRange(); std::vector birthdayEmployees;
    0 码力 | 114 页 | 3.14 MB | 5 月前
    3
  • pdf文档 julia 1.10.10

    . . . . . . . . . . . . . . . . . . . . 435 34.18 Consider StaticArrays.jl for small fixed-size vector/matrix operations . . . . . . . . . 436 34.19 Avoid string interpolation for I/O . . . . . . . . . . . . . . . . . . . . . 1461 92.2 Sparse Vector Storage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1462 92.3 Sparse Vector and Matrix Constructors . . . . . . . . . . . . julia> a = [1,2,3] # an array of 3 integers 3-element Vector{Int64}: 1 2 3 julia> b = a # both b and a are names for the same array! 3-element Vector{Int64}: 1 2 3 Here, the line b = a does not make
    0 码力 | 1692 页 | 6.34 MB | 3 月前
    3
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