This API is excellent because it frees you from having to think about the kinds of complex transformation matrices commonly discussed in linear algebra or graphics courses and textbooks. 这个API非常有意义,因为它使我们不必考虑线性代数或图形学课本中讨论的复杂的转换矩阵。
Even though two-dimensional arrays are similar to matrices from linear algebra, operations ( such as multiply) have nothing to do with the operations in linear algebra ( such as matrix multiplication). 虽然二维数组与线性代数中的矩阵类似,但是对它们的操作(比如乘)与线性代数中的操作(比如矩阵乘)是完全不同的。
If you've developed graphical applications, you're probably familiar with linear algebra and the matrix operations required to implement things like translation, scaling, and rotation. 如果您开发过图形应用程序,您可能会熟悉实现诸如平移、缩放和放转等所需要的线性代数和矩阵运算。
Warning: The following uses generic linear algebra libraries; use it only as a guideline. 警告:下面使用了普通的线性代数库;使用它只是作为一个参考。
Its main advantage over traditional mathematical notation for linear algebra is that it's much easier to type. 同线性代数传统的数学标记法相比,其主要优点是更易于输入。
A linear independent general criterion of hybrid screw group was deduced based on the matrix transform theory of linear algebra. 采用线性代数的矩阵变换理论,推导出混合螺旋系线性相关性的一般性判据。
Calculus, differential equations, linear algebra, statistics, computer science and at least one in numerical analysis, matrix algebra or computer systems. 微积分,微分方程,线性代数,统计,计算机科学和至少一数值分析,矩阵代数或计算机系统。
The main means used in the paper are group theory, galois field, module algebra and linear algebra. 文中涉及的主要理论有群论,伽罗华域,模代数和线性代数。
Modern linear algebra has been extended to consider spaces of arbitrary or infinite dimension. 现代线性代数已延长至考虑空间的任意或无限的层面。
Scientific Computing Software In Linear Algebra And Aesthetic Teaching Strategies 科学计算软件在线性代数中地审美教学策略
A New Exploration Of Introducing Two Abstract Concepts In Linear Algebra 关于线性代数中两个抽象概念讲解方法的新探索
The mathematical content of this course involves some linear algebra, probability theory, algebra, combinatorics and topics from a variety of other fields. 这门课程用的数学涉及到线性代数、机率论、代数、组合学和各式其他的相关领域。
On Inverse Problems in the Engineering Course "Linear Algebra" 关于工科线性代数课程中的反问题
, this is my plan, the fundamental problem of linear algebra, which is to solve a system of linear equations. ,这是我的计划:线代的基本问题是用来解线性方程组(systemoflinearequations)。
An important concept here is that of vectors, generalized to vector spaces, and studied in linear algebra. 这是抽象代数领域。这里一个重要的概念是,向量,推广到向量空间,以及线性代数研究。
For convenience of the reader, pertinent results from linear algebra and convex analysis are summarized in Chapter two. 为方便读者,在第二章中总结了相关的线性代数和凸分析知识。
No particular prerequisites are needed though a proficiency in linear algebra and basic probability will be assumed. 学这门课没有特别的先修课程,但会假定你已经熟练掌握线性代数和基本机率。
Complete wrap "Calculus" learning and self-End "Linear Algebra". ⒊完成《微积分》的学习,并自学完《线性代数》。
A basic knowledge of factor analysis is required and a working knowledge of linear algebra is helpful. 因子分析的基本知识是必要的,对线性代数的工作经验是有益的。
Numerical topics include dense and sparse linear algebra, N-body problems, and Fourier transforms. 课程的数学主题包括稠密/疏线性代数、体问题和傅立叶变换。
Application of numerical linear algebra to aerotriangulation with model 数值线代数在模型法解析空中三角测量中的应用
It's a general fact that you will see more in detail in linear algebra if you take it. 如果你学线性代数的话,就会学到更多细节。
The text for the course is this book, Introduction to Linear Algebra. 该课程的教材是这本书:线代入门。
Following the introductory first chapter and the second chapter on linear algebra and convex analysis, the book is organized into two parts: linear programming and networks flows. 在第一章简介和第二章线性代数和凸分析之后,本书分为两部分:线性规划和网络流。
Exploration on the Course System& Teaching Method in Linear Algebra 关于《线性代数》课程体系与教学法的探索
With the coming of special relativity, many practitioners gained appreciation of the subtleties of linear algebra. 随着狭义相对论,许多从业人员获得赞赏的微妙线性代数。
Linear Algebra& Differential Equations 线性代数与微分方程
Systems of linear differential equations can be handled by using the methods of linear algebra. 线性微分方程组可以应用线性代数中的方法求解。
Despite these early developments, linear algebra has been developed primarily in the twentieth century. 尽管有这些早期的发展,线性代数已经制定了主要是在二十世纪。
Linear Algebra, Matrices, Vector, Determinants. 矩阵,向量,行列式。