?polynomials

polynomials發(fā)音

英：　　美：

polynomials中文意思翻譯

常見(jiàn)釋義：

n.[數]多項式（polynomial的復數形式）

polynomials雙語(yǔ)使用場(chǎng)景

1、vegetables and quadratic polynomials are made more interesting with the Mandelbrot set.───有了曼德?tīng)柌丶?，蔬菜和二次多項式都變得有趣多了?/p>

2、In this paper, using recursion formula of the adjoint polynomial, we shall obtain adjoint polynomials of two graphs.───本文運用伴隨多項式的遞歸公式，求出了兩類(lèi)圖的伴隨多項式。

3、Second-order fractional polynomials and random effects meta-regression models were used for modeling the dose-risk relation.───而二階分數多項式和隨機效應元回歸模型用于模擬劑量風(fēng)險的關(guān)系。

4、In this treatise, the authors present the general theory of orthogonal polynomials on the complex plane and several of its applications.───在這篇論文里，那些作者提出關(guān)于復雜的飛機和它的一些申請的正交多項式的一般的理論。

5、Obtaining the spectrum of Zernike polynomials is the key to fit the surface errors by Zernike polynomials correctly.───獲得澤尼克多項式的頻譜信息是正確利用該多項式進(jìn)行誤差擬合的關(guān)鍵。

6、Methods The character and definition of matching polynomials are used to compute.───方法利用匹配多項式的定義和性質(zhì)推導。

7、parameters of canonical polynomials can be obtained by using explicit formulae.───利用顯式可以計算得到規范多項式的參數。

8、The method of least-squares approximation accompanied by orthogonal polynomials is one of these approximation methods.───與正交多項式同時(shí)存在的最小平方近似值的方法是這些近似法的其中之一。

9、Our estimates show the error to be comparable to a standard Galerkin finite element method using piecewise linear polynomials .───估計結果表明本文格式的精度和使用分片線(xiàn)性多項式的標準有限元方法相當。

polynomials相似詞語(yǔ)短語(yǔ)

1、factoring polynomials calculator───分解多項式計算器

2、classifying polynomials───多項式分類(lèi)

3、annihilating polynomials───湮沒(méi)多項式

4、factoring polynomials───分解多項式

結語(yǔ)：速求“The degree of polynomials”什么意思!是在數學(xué)書(shū)上的，Introduction 介紹Approximation by polynomials is the oldest and simplest way to represent complicated functions defined over finite domains.由多項式表示的近似值 Introduction 介紹Approximation by polynomials is the oldest and simplest way to represent complicated functions defined over finite domains.由多項式表示的近似值 介紹Approximation by polynomials is the oldest and simplest way to represent complicated functions defined over finite domains.