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- Class_2022_1
• Numerical optimization algorithms: gradient and Newton’s algorithms // [[뉴턴_방법,Newton_method]]?
- MIT_Single_Variable_Calculus
([[뉴턴_방법,Newton_method]])
- p진수,p-adic_number
[[뉴턴_방법,Newton_method]]과 p진수의 [[제곱근,square_root]] 언급
- 기울기하강,gradient_descent
Compare: [[뉴턴_방법,Newton_method]]
- 보간,interpolation
Newton법 - [[뉴턴_방법,Newton_method]]?
[[뉴턴_방법,Newton_method]]
- 선형근사,linear_approximation
[[뉴턴_방법,Newton_method]]
- 수치해석,numerical_analysis
[[뉴턴_방법,Newton_method]]
- 수학,math
== [[뉴턴_방법,Newton_method]] ==
- 접선,tangent_line
[[선형근사,linear_approximation]], [[뉴턴_방법,Newton_method]]
- 제곱근,square_root
[[뉴턴_방법,Newton_method]]
[[뉴턴_방법,Newton_method]]의 특수한 경우? chk
- 최적화,optimization
[[뉴턴_방법,Newton_method]]
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