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Numerical Analysis - 03 Error Analysis

Posted on 2019-05-08 | In mathematics

Introduction & Bisection Method

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Numerical Analysis - 02 Non-linear Equation

Posted on 2019-05-07 | In mathematics

Introduction & Bisection Method

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Numerical Analysis - 01 Introduction

Posted on 2019-05-07 | In mathematics

What is Numerical analysis?

New Definition

많은 사람들은 approximation과 error에 관한 학문이라고 한다.
Numerical analysis is the study of rounding errors.

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Linear Algebra - UNIT III - 08 Singular Value Decomposition and PCA

Posted on 2019-05-06 | In mathematics

Learn Differential Equations: SVD

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Linear Algebra - UNIT III - 07 Positive Definite Matrices

Posted on 2019-05-05 | In mathematics

Symmetry and Positive Definitive Matrix
Linear Algebra Lec. 25

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Linear Algebra - UNIT II - 06 Eigenvalues and Eigenvectors

Posted on 2019-05-04 | In mathematics

굉장히 길고 중요한 챕터.
Eigenvalue에 대해 알아보고, 그 응용에 대해서 알아본다.

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Linear Algebra - UNIT II - 05 Determinants

Posted on 2019-05-03 | In mathematics

Properties of Determinants

그동안은 Rectangular Matrix에 집중해왔다.

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삼진어묵

Posted on 2019-05-02 | In business

https://www.youtube.com/watch?v=A98ZLElauiM

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vscode configuration

Posted on 2019-05-01 | In programming

https://hackernoon.com/how-i-configure-vscode-for-everything-7df65a316a52

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Linear Algebra - UNIT II - 04 Orthogonality

Posted on 2019-05-01 | In mathematics

Orthogonal Vector and Subspace

Orthogonal Vector

직교(Orthogonal)한다는 것은 수직(Perpendicular)과는 다른 의미이다.
Orthogonal은 두 벡터의 내적이 0인 것을 의미한다.
즉, 영벡터도 포함된다.
수직은 의미가 조금 다르다.

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Hyun Seok Jeong

Hyun Seok Jeong

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