본문 바로가기

strangerRidingCaml

검색하기
strangerRidingCaml
프로필사진 woddlwoddl

  • 분류 전체보기 (110)
    • Linear algebra (9)
    • General topology (10)
    • NLP (6)
    • Modern cryptography (9)
    • System hacking (16)
    • Software verification (8)
    • Type theory (23)
    • Linux kernel exploit (13)
    • Real-world browser exploit (6)
    • Advanced operating system (10)
Guestbook
Recent Posts
Recent Comments
Archives
Today
Total
관리 메뉴
  • 글쓰기
  • 방명록
  • RSS
  • 관리

목록전체 글 (110)

strangerRidingCaml

2. Matrices and Matrix Operations

Matrices and Matrix OperationsMatrix Representation of Linear TransformationsA linear transformation can be represented by a matrix. Let $\mathbf{A}$ be an $m \times n$ matrix and $\mathbf{x}$ be a vector in $\mathbb{R}^n$. The product $\mathbf{Ax}$ represents the transformation of $\mathbf{x}$ by $\mathbf{A}$.Matrix Addition, Scalar Multiplication, and MultiplicationMatrix Addition: If $\mathbf..

Linear algebra 2024. 5. 4. 13:54
1. Introduction to Vectors and Vector Spaces

Introduction to Vectors and Vector SpacesVectors in $\mathbb{R}^n$A vector in $\mathbb{R}^n$ is an ordered list of $n$ real numbers. It can be represented as:$$ \mathbf{v} = \begin{bmatrix} v_1 \\ v_2 \\ \vdots \\ v_n \end{bmatrix} $$where $v_1, v_2, \ldots, v_n$ are the components of the vector $\mathbf{v}$.Vector Addition and Scalar MultiplicationVector Addition: If $\mathbf{v} = [v_1, v_2, \l..

Linear algebra 2024. 5. 4. 13:49
이전 Prev 1 ··· 16 17 18 19 Next 다음

Blog is powered by kakao / Designed by Tistory

티스토리툴바