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matrix factorization中文翻譯,matrix factorization是什么意思,matrix factorization發(fā)音、用法及例句

2025-08-29 投稿

matrix factorization中文翻譯,matrix factorization是什么意思,matrix factorization發(fā)音、用法及例句

1、matrix factorization

matrix factorization發(fā)音

英:  美:

matrix factorization中文意思翻譯

常見釋義:

[數(shù)]矩陣因子分解

matrix factorization雙語使用場景

1、A privacy-preserving collaborative filtering algorithm based on non-negative matrix factorization (NMF) is presented.───提出一種基于非負矩陣分解的隱私保護協(xié)同過濾推薦算法。

2、An algorithm with regularization constrains for nonnegative matrix factorization(RCNMF) is proposed.───提出一種帶有正則約束的非負矩陣分解算法(RCNMF)。

3、matrix factorization and its modification is one of the most effective techniques in numerical linear algebra.───矩陣分解的校正技術(shù)是數(shù)值線性代數(shù)中最有效的工具之一。

4、An algorithm with regularization constrains for nonnegative matrix factorization (RCNMF) is proposed.───一種帶有正則約束的非負矩陣分解算法(RCNMF)。

5、Non-negative matrix factorization (NMF) has been proposed for multivariate data analysis, with non-negativity constraints.───非負矩陣因子分解是對非負數(shù)據(jù)處理的一種多元統(tǒng)計分析方法。

6、In this article, the sparse non-negative matrix factorization algorithm is applied to quantitative predict the mineral resources.───本文主要是論述稀疏非負矩陣分解算法在礦產(chǎn)資源定量預(yù)測中的應(yīng)用研究。

7、A new monitoring method based on nonnegative matrix factorization (NMF) is proposed in this paper.───提出了一種新的基于非負矩陣分解(NMF)的過程監(jiān)控方法。

8、Sounds like a classic matrix factorization task to me.───聽起來像是一個經(jīng)典的矩陣分解我的任務(wù)。

9、An end member constrained Nonnegative Matrix Factorization(NMF)method for mixture pixels unmixing is proposed.───提出一種端元約束條件下的非負矩陣分解方法來自動反演混合像元組分。

matrix factorization相似詞語短語

1、adjoint matrix───[數(shù)]伴隨矩陣;伴隨(矩) 陣; 伴矩陣

2、annihilator matrix───零化子矩陣

3、prime factorization───質(zhì)因數(shù)分解;[數(shù)]素因子分解;質(zhì)因數(shù)連乘式;標準分解式,分解成質(zhì)數(shù)的乘績

4、matrix structure───矩陣結(jié)構(gòu);基地組織

5、factorized matrix───因式矩陣

6、controllability matrix───可控性矩陣

7、matrix───n.矩陣;模型;社會環(huán)境;基質(zhì);母體;子宮;脈石

8、stiffness matrix───[力]剛度矩陣;勁度矩陣

9、matrix organization───矩陣式組織,矩陣組織

2、本科985國貿(mào)專業(yè),想到美國留學(xué)讀研,學(xué)金融工程可能嗎?要如何做?

可能,但是難度會比較大,要有心理準備哦!畢竟金融工程和普通的商科還是不一樣的,對GRE的成績要求會比較高!

如果你真的決定去啦,那就可以開始準備了,首先你要找專業(yè)資深人士咨詢一下,給你推薦新通教育,語培和留學(xué)一站式解決,方便省心,可以關(guān)注私信小編!

下面給你推薦一些美國比較好的有金融工程專業(yè)的學(xué)校以及這些學(xué)院對學(xué)生的要求,希望對你有幫助!

以哥倫比亞大學(xué)為例

如果是金融工程, 學(xué)校要求學(xué)生修讀過以下數(shù)學(xué)課(http://ieor.columbia.edu/files/seasieor/industrial-engineering-operations-research/pdf-files/FE_Prereq.pdf)概率論probability,微積分 calculus 線性代數(shù) linear algebra

如果是金融數(shù)學(xué)(http://www.math.columbia.edu/mafn/) Prerequisites Applicants should have a very good working knowledge of calculus, linear algebra,elementary differential equations, probability, and statistics, and a programming language. Exposure to advanced calculus and mathematical analysis, including measure theory, is desirable but not required.

Texts recommended for self-study Ross: “A First Course in Probability” Mood, Graybill & Boes: “Introduction to the Theory of Statistics” Rudin: “Principles of Mathematical Analysis”

以紐約大學(xué)金融工程為例

學(xué)校要求學(xué)生修讀過:Linear Algebra線性代數(shù);Probability Theory概率論;Calculus (Advanced) 微積分 (高級的微積分, 如 Multivariable Calculus多元微積分);Applied Statistics 應(yīng)用統(tǒng)計學(xué)或統(tǒng)計學(xué);Computer Programming 計算機編程語言, 比如C++ 或者JAVA。

紐約大學(xué)金融數(shù)學(xué)為例

To gain admission, whether full-time, part-time, or non-degree, an applicant must demonstrate a high aptitude for quantitative reasoning. He or she must have a firm grasp of mathematics at a high undergraduate level, which includes at least the following Mathematics courses: Multivariate calculus (including partial derivatives, multiple integrals, and Taylor series) Linear algebra (including linear systems of equations, determinants, matrix factorization, range and null space, and eigenvalues of symmetric matrices) Calculus-based course in probability (independence, conditional probabilities, Gaussian distribution, law of large numbers, central limit theorem)

UCLA要求更高 Evidence of computational programming skills (for example, C++) and familiarity with computers as computational and management tools熟練掌握計算機編程技巧, 比如C++ 以及熟悉計算機和計算管理軟件

Strong quantitative background強有力的數(shù)理背景, including coursework in:包括以下課程 linear algebra線性代數(shù), multivariate calculus多元微積分, differential equations微分方程, numerical methods數(shù)值方法, advanced statistics and probability高級統(tǒng)計學(xué)和概率論, 包含以下主題which includes the following topics: discrete distributions離散分布, continuous distributions連續(xù)分布, density functions密度函數(shù), sampling theory抽樣法理論, statistical inference統(tǒng)計推斷, hypothesis testing假設(shè)檢驗/測算, ordinary least squares普通最小二乘法,等內(nèi)容 t-statistics, sampling vs. population moments, chi-square goodness of fit tests, etc.

Excellent writing, speaking, and presentation ability in English Evidence of experience with mathematical tools (for example, MATLAB)數(shù)學(xué)工具比如MATLAB Work or research experience in a quantitative discipline (recommended, but not required) Progress towards obtaining CFA certification建議學(xué)生要為獲得CFA做好準備 Experience with statistical and econometric applications (recommended)建議要有統(tǒng)計學(xué)和計量經(jīng)濟學(xué)的應(yīng)用經(jīng)歷

卡耐基梅隆大學(xué) Strong academic performance in a depth of mathematics and probability coursework強有力的有深度的數(shù)學(xué)和概率論課程 Experience with C or C++ programming C語言或者C++ A strong interest in a career in the quantitative finance field Candidates are required to have completed the following pre-requisite coursework: Calculus I and II 微積分1和2 Differential equations 微分方程 Linear algebra線性代數(shù) Calculus-based probability 以微積分為基礎(chǔ)的概率論 C or C++ programming C語言或者C++ 金融工程排名第一的紐約巴魯克學(xué)院課程要求: Prerequisites. Applicants are required to have taken the following minimal set of courses: Calculus (two semesters)2個學(xué)期的微積分 Probability (one semester)1個學(xué)期的概率論 Linear Algebra (one semester)1個學(xué)期的線性代數(shù) C++ (one semester or certificate)1個學(xué)期或者1個證書 C++ Finance (one semester, or relevant work experience) 建議要在本科之內(nèi)最好是申請的時候或之前, 完成以下課程

微積分Calculus 最好是有深度的 不僅僅是一個學(xué)期而已 概率論 Probability 統(tǒng)計學(xué)Statistics 而不是簡單的Business Statistics 線性代數(shù)Linear Algebra 多元微積分multivariate calculus 微分方程differential equations 編程語言Programming學(xué)會C++或者JAVA 二選一; 最好是C++ 學(xué)會MATLAB 還有數(shù)學(xué)建模

如果這些條件不能達到或者不能完全達到,那么可能到時候申請STEM金融碩士的可能性會更大一些,商學(xué)院STEM金融碩士的數(shù)理要求沒有金融數(shù)學(xué)/金融工程那么變態(tài).

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