線性代數用英語怎麼說

General 更新 2024年11月24日

  線性代數是數學的一個分支,它的研究物件是向量,向量空間,線性變換和有限維的線性方程組。由於科學研究中的非線性模型通常可以被近似為線性模型,使得線性代數被廣泛地應用於自然科學和社會科學中。那麼你知道嗎?下面一起來學習一下吧。

  線性代數的英語說法:

  linear algebra

  線性代數相關英語表達:

  線性代數基本定理 Fundamental theorem of linear algebra

  線性代數群 Linear Algebraic Groups

  線性代數引論 Introduction to Linear Algebra

  線性代數及應用 Linear Algebra and its Applications

  線性代數的英語例句:

  1. Systems of linear differential equations can be handled by using the methods of linear algebra.

  線性微分方程組可以應用線性代數中的方法求解.

  2. With algebraic multi - grid method AMG , linear system of equations are solved.

  利用代數多重網格法 求解 了這個線性代數方程組.

  3. Matrix proofs of several theorems in linear algebra are given.

  摘要給出了線性代數中幾個定理的矩陣證法.

  4. One subject in linear algebra and some experience with proofs.

  修過任一線性代數課程,以及要有證明的經驗.

  5. Now, I finally understand that math, especially linear algebra are very useful.

  讀到研究生, 終於知道數學, 尤其是線性代數的用處了.

  6. This is a basic subject on matrix theory and linear algebra.

  基本內容是講授矩陣理論和線性代數.

  7. Ritz algorithm, for numerical linear algebra complete source code, has been tested.

  麗嘉演算法, 數值線性代數完整的原始碼, 已經過測試.

  8. Goal | Establish the fundamental background of linear algebra.

  |課程目標|紹基本線性代數的內容,強調各個主題的計算與幾何觀念.

  9. This treatise use some mathematical Analysis methods and knowledge to prove several linear algebra problems.

  為此,本文運用數學分析的有關知識和方法論證線性代數中的某些問題.

  10. The three - parametric method is developed to solve large scale linear algebraic equations with periodic block - tridiagonal matrix.

  建立了求解係數矩陣為週期塊狀三對角矩陣的大型線性代數方程組的三引數組方法.

  11. ScaLapack is a library of high performance linear algebra routines for distributed memory MIMD computers.

  ScaLapack是 一個平行計算軟體包,適用於分佈儲存的MIMD並行機.ScaLapack提供若干線性代數來解功能,具有高效、可移植.

  12. Numerical topics include dense and sparse lar algebra, N - body problems, and Fourier transforms.

  課程的數學主題包括稠密/疏線性代數 、 體問題和傅立葉變換.

  13. These range from physics , and liner algebra , linear algebra to anthropology, political science, -- even schooldiving.

  範圍從物理, 線性代數到人類學, 政治科學, 甚至潛水.

  14. Numerical topics include dense and sparse linear algebra, N body problems, and Fourier transforms.

  課程的數學主題包括稠密╱稀疏線性代數 、 N體問題和傅立葉變換.

  15. Ordinary differential equations, Partial differential equations, Linear algebra, Special functions, Calculus of variation.

  常微分方程, 偏微分方程, 線性代數, 簡單特殊函式, 變分學.

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