基矩阵
- 网络basis matrix;base matrix;basis matrices;basic matrix
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基矩阵b是幺模的。
The basis matrix B is unimodular .
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因此,与增强基矩阵稀疏性方法类似,本文还给出一种增强权矩阵稀疏性的非负矩阵分解算法,并给出了相应的迭代公式。
Therefore , similar to the algorithm of enhance basis matrix sparseness method , this paper give an algorithm for learning more sparseness information of the weighted matrix , and given the iterative formula .
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在引入重叠基矩阵的基础上,提出了加窗全相位等效FIR滤波器系数向量的计算通式。
Based on introducing overlapping base matrix , the general calculating formula for the coefficient vector of windowed all-phase equivalent FIR filter is proposed .
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货币样本组合成的矩阵V经非负分解,分解后的基矩阵W表示货币的局部特征信息,H的列向量可解释为各样本在各局部特征上的权重编码信息。
The matrix V consisted of currency sample is decomposed by NMF , and the base matrix W can be achieved to express the local feature information while the column vector of H can be understood as the weight coded information of samples on corresponding local characteristics .
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使线性变换对应的基矩阵比较简单;
Simplifying basis matrices of linear variation correspondence ;
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首先利用线性码的标准阵列来构造基矩阵,该基矩阵满足行距约束条件。
With the help of the standard array for a linear block code , a base matrix satisfying the RD-constraint can be obtained .
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在非负矩阵分解中,编码矩阵的非负性约束使得算法求解起来速度较慢,并且,在实际问题中,由于往往只需要部分分解结果(基矩阵)是非负的。
When dealing with the problem of nonnegative matrix factorization , the nonnegative constraints make the algorithms run slowly . And also in the real applications , we only need the nonnegativity of the base matrix .
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给出了反向累加生成的定义,主要讨论反向累加生成基矩阵构成,得到了反向线性累加生成空间。
Firstly , the definition of reverse cumulation span is given . Secondly , the generating basis matrix composition of reverse cumulation is discussed . Finally , the generated spaces of reverse linear cumulation are obtained .
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它通过数据矩阵的非负分解,产生基矩阵和编码矩阵,对大型数据矩阵进行降维,从而大大压缩数据存贮量,加快数据处理速度,并能够体现数据内部结构和特征。
Through nonnegative matrix decomposition , NMF generates two factor matrices , the basic matrix and the code matrix , reducing the dimensions of the large data matrix , and as a result makes data storage capacity greatly compressed .
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本文借助于递推的方法给出了在代数双曲空间Hn上以积分迭代形式定义的HPB-Spline基的矩阵表示。
This paper presents the matrix representation for the HP B-Spline basis in a recursive way , which is generated over the algebraic space H_n .
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利用B样条基转换矩阵的有关结果,本文给出了B样条曲线插入节点和升阶的统一方法及算法。
Using the results about the transformation matrices of B spline bases , we present an uniform approach and its algorithm to knot insertion and degree elevation of B spline curves .
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第二型优化正规基Lambda矩阵的快速计算
Efficient Algorithm about Lambda Matrix of Type II Normal Basis
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本文还讨论了B样条基转换矩阵在CAGD中的应用,特别讨论了B样条曲线的节点插入、升阶和分解问题。
The applications of the transformation matrices of B-spline bases in CAGD are also discussed , including the problems about the knot insertion , degree elevation and decomposition of B-spline curves .
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文章通过对第二型优化正规基Lambda矩阵所涉及的同余方程组进行优化并采用合理的预计算方法,实现了对第二型优化正规基Lambda矩阵的快速计算。
This paper presents an efficient algorithm about Lambda matrix of type II normal basis by use of optimization calculation of the related equations and new technique about precomputation .
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本文用类比方法求得特殊方程组的基解矩阵;对于不能求解的方程组,用积分不等式和Liapunov函数方法,得到解的有界性定理。
We obtain basic solution matrix of special equations by means of analogy and obtain boundary theorem of solution for unsolvable equations by means of integral inequality and Liapunov function .
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几类微分方程组的基解矩阵和解的有界性
Basic Solution Matrix and Bounded Solutions for Some systems of Differential Equations
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多项式基相关矩阵的关系
The Relation of Matrix with Respect to Polynomial Basis
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代数双曲空间中两组基的矩阵表示及其转换矩阵
Matrix Representation and Conversion Matrix for Two Bases of the Algebraic Hyperbolic Space
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用最小多项式求线性微分方程组的基解矩阵
A Method for Calculating Basic Solution Matrix of Linear Simultaneous Equations by Using Minimal Polynomial
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f~3组态离子在四角场中的基矢矩阵元
The Basis Vectors of f ~ 3 Ions in Tetragonal Field and Matrix Elements Related
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拟阵的基关联矩阵
The Incidence Matrix of Base
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在讨论常系数线性常微分方程组时,基解矩阵的计算是很重要的一部分内容。
Thus , we can explore and research the solution of differential equations'fundamental solution matrix from another angle .
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定义了网基结构矩阵、弧结构矩阵和负荷矩阵等数据结构以及基形变换、点弧变换和弧点变换等数学变换。
Several data structures are defined to describe the distribution system such as net base matrix , arc matrix and load matrix , etc.
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作为例子,本文利用所构造的递推方法求得了4阶HPB-Spline基的矩阵表示的显式表达式。
As examples , the specific expressions of the matrix representation for HP B-Spline basis of order 4 are given by the recursive method .
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运用基解矩阵和摄动方法,给出了两类微分方程的通解表达式。
By using fundamental solution matrix and method of perturbation , we give the expression of general solutions for two classes of differential equations .
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本文给出了当系数矩阵A形如(☆)式时的线性方程组基解矩阵的简易求法。
In This paper , we give a simple method for finding fundamental solution matrix of a linear equations which matrix A as shown as form (☆)
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子空间基向量矩阵是由修正的低阶模态矩阵(包括刚体模态)和修正的被略去的高阶模态的剩余柔度矩阵组成的。
The subspace base vector matrix consists of the modified lower frequency mode matrix ( ineluding rigid body modes ) and the modified residual flexibility matrix of neglected higher-frequency modes .
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B样条基的转换矩阵及其应用
The transformation matrices of B-spline bases and their applications
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B样条基的转换矩阵具有重要的理论和应用意义。
The transformation matrix of B-spline bases is significant both in theory and application .
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由于其表达式较复杂,难以应用,作者通过重新参数化,基转换和矩阵变换,把它转化为均匀B样条曲线的形式。
Because of complicated expression and difficult application , the author converts the singular blending curve to a uniform B-spline curve by reparametrization , basis transformation and matrix transformation .