• All matrices can be factorised, usually in a variety of ways.

    所有矩阵通常都能以各种方式因式分解。

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  • However, Laplace expansion is efficient for small matrices only.

    但是,拉普拉斯展开仅对小型矩阵有效。

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  • It means they are the inverse matrices.

    这就意味着它们是互逆的两个矩阵。

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  • Auto-refresh feature for both tables and matrices.

    表格和矩阵的自动刷新特性。

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  • But matrices can also represent mathematical equations.

    然而,矩阵也同样能够用来表示数学方程。

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  • In a sense, substitution matrices code up chemical properties.

    在某种意义上,替换矩阵是对化学属性的编码。

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  • These hints can be used in similar matrices with other maturity models.

    这些提示可以在其他成熟度模型的类似矩阵中使用。

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  • Visually, they can be represented as ten-by-ten matrices of black and white squares.

    它们可以可视化地表示为10乘10的黑白方块矩阵。

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  • OK, so we've seen how to multiply matrices, and how to write linear systems in matrix form.

    我们学过矩阵乘法的,以及用矩阵表示线性方程。

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  • And finally, I like to add references to both external and internal resources to the matrices.

    最后,我想将外部和内部资源的参考加到这个矩阵中。

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  • The company employs a software program that lets it see the data it gets in two-dimensional matrices.

    该公司使用了一个软件程序以二维矩阵方式查看数据。

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  • Probably some of you have seen about matrices a little bit in high school, but certainly not all of you.

    可能有些同学,在中学已经学了一点矩阵,但肯定不是所有人都学过。

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  • Note that the inv function USES SPL nested lists to represent matrices, as there is no matrix type in SPL.

    请注意,inv函数使用SPL嵌套列表来表示矩阵,因为SPL中没有矩阵类型。

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  • And they are not Numbers, they are not vectors, they are not matrices, they are a different kind of object.

    不是数字,不是向量,也不是矩阵,它们是不同的数学对象。

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  • Their tutorial also includes the slightly more advanced topics of 3-dimensional matrices and error reporting.

    他们的教程还包括三维矩阵和错误报告等稍稍高级的主题。

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  • So, that's one thing that maybe we didn't emphasize enough when we did matrices at the beginning of a semester.

    也许在学期初学习矩阵的时侯,我们并没有充分的强调它。

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  • The matrices in CwMtx include vectors and square matrices, where vectors include space vectors and quaternions.

    CwMtx中的矩阵包括向量和方阵,其中向量包括空间向量和四元数。

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  • For projects coded in c, Meschach (pronounced: me-shark) provides routines for operating on matrices and vectors.

    对于用c编写代码的项目,Meschach(读作me - shark)提供了例程,用于矩阵和向量的运算。

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  • I'd argue that MATLAB is basically a targeted language it's targeted at matrices and vectors and things like that.

    我认为MATLAB是有特定处理对象的语言,它主要,面向矩阵和向量等。

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  • It's easy to tell whether these simpler matrices have banded inverses, and if they do, their combination will, too.

    判断这些简单矩阵是否有带状逆阵要更容易,而如果它们有,那他们组合起来也会有。

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  • But now, let's see that we have two matrices like that telling us how to transform from something to something else.

    而现在,我们来看,有两个像这样的矩阵,来表示把某种东西转化为另一种东西。

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  • So let me just introduce you to a little bit about matrices just enough for what we will need later on in this class.

    所以我稍微讲一下矩阵,这些东西都是这节课上立马要用到的。

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  • So engineers are interested in banded matrices with banded inverses, but which matrices those are is by no means obvious.

    因此,工程师们才对拥有带状逆阵的带状矩阵感兴趣,然而那些是什么样的矩阵却并非显而易见。

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  • Begin by pushing the current set of matrices onto the stack, then call translate to change the displacement for your box.

    一开始将当前的矩阵集保存到堆栈中,然后调用translate修改您的立方体的位移。

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  • Among the most common tools in electrical engineering and computer science are rectangular grids of Numbers known as matrices.

    在电子工程以及计算机科学使用的常见工具中,有一种被称为矩阵的数字组成的网格。

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  • We'll make a slight change to the standard technique for multiplying matrices so that the previous algorithm can be applied here.

    我们将对矩阵乘法的标准技术稍微进行一下修改,这样就可以使用前面介绍的算法了。

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  • Additional transformations can be performed, and these are applied to the current set of matrices defined by the previous operations.

    我们还可以定义额外的转换,并将它们应用到由之前操作所定义的当前矩阵集中。

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  • For simplicity, the matrix viewer example contains homogeneous matrices where the matrix dimensions contain only one section each.

    简单起见,矩阵查看器样例中是齐次矩阵(homogeneousmatrices),即每个矩阵维度只包含一个部分。

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  • As these functions use stack semantics, you can layer transformations for shapes and later remove them to restore the original matrices.

    由于这些函数都使用堆栈语法,所以您可以对形状应用层次转换,并在后面将它们删除,以恢复原有矩阵。

    youdao

  • As these functions use stack semantics, you can layer transformations for shapes and later remove them to restore the original matrices.

    由于这些函数都使用堆栈语法,所以您可以对形状应用层次转换,并在后面将它们删除,以恢复原有矩阵。

    youdao

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