tensor product 中文意思是什麼
tensor product
解釋
張量乘積-
The generation of tensor product surfaces of every kind of curves is straightforward ; these corresponding tensor product surfaces also contain many special surfaces, including spherical surface, ellipsoid, hyperboloid etc
對于每一類曲線作者均將它們直接推廣到張量積曲面，這些曲面可以精確表示球面、橢球面、雙曲面等二次曲面。 -
Decomposition of tensor product for indecomposable modules
不可約模的張量積分解 -
Maximum - norm superapproximation of the gradient for the tensor - product quadratic rectangular parallelepiped finite element
張量積二次長方體有限元梯度最大模的超逼近 -
We can give different structures on a tensor product h q to make it a bialgebra or hopf algebra. in [ 1 ] radford constructed a hopf algebra a x h with the smash algebra structure and the smash coproduct coalgebra structure, and pointed out that if a bialgebra b has a hopf subalgebra h and a projection ! : b - - > h, then there must be a subalgebra a of b such that b @ a x h is a bialgebra isomorphism
在張量積hq上可以給出不同的構造，使它成為雙代數或hopf代數， radford在文獻[ 1 ]中構造了以smash積為代數結構，余smash積為余代數結構的hopf代數a h ，並指出若b是雙代數， h是b的子hopf代數，且存在投射： b h （即是雙代數同態，且| _ h = id _ h ） ，則一定存在b的子代數a ，使ba h是雙代數同構。 -
Tensor product - based meshless numerical method
基於貝葉斯方法的時變可靠度分析 -
Two methods are given. one is obtained by using degree reduction of interval rational bezier curves in two parameter directions according to the character of tensor product, which is called " single step method ". by comparison for degree reductions produced by the different order in two parameter directions, the relationships of the approximation results are discussed
然後討論了矩形域上區間有理bezier曲面的降階問題，給出兩種降階演算法：一個是針對張量積的特點將問題轉變為兩參數方向的區間有理曲線的降階逼近，即「單步法」 ，並討論單步法沿兩參數方向不同次序降階的關系。 -
Analytic tensor product
解析張量積 -
Finally, a tensor product space is constructed, in which exists reproducing kernel. the explicit representation of the best interpolation
這為尋找二維插值公式，用以計算重積分提供一定的方法。 -
The semidefinite positive on the tensor product of matrix
矩陣張量積的半正定性 -
Include : direct sum code, cartesian product co de, tensor product code, extend hamming code ; and 7 - th part, we summarize the total paper, and put forward some problem which should be solved in perhaps development direction in the future. in the paper, main results gather in the 3 - rd, 4 - th, 5 - th, 6 - th part
第七章對全章作了一個總結，並對未來可能的發展方向提出了一些有待研究的問題。本文的主要結果集中在第三章、第四章、第五章、第六章。 -
The boundary curves correspond to a set of rectangular or triangular topological type that can be represented with tensor - product or degenerate b - spline surface patches
其中邊界曲線對應于可用於張量積b樣條曲面的具有矩形結構的曲線集合。 -
But tensor product wavelets has a number of drawbacks
張量積小波有其自身的缺點。 -
Complete tensor product
完全張量積 -
Construction of non - tensor product semi - orthogonal continous wavelet bases for ii triangular partition
型三角剖分下非張量積連續小波基的構造 -
Lastly, the cv rational interpolating splines above are extended to the case of two variables. their existence and uniqueness are proved for two usually boundary conditions as well. the cv rational interpolating splines of two variables are represented as tensor product from of the case of simple variable
最後，定義了二元cv有理插值樣條函數，就兩類邊界條件證明了其存在唯一性，並建立了它的表達式，給出了廣義deboor演算法 -
In the first part, we proof that tensor product of projective semimodules is still projective ; in second part, we construct the equivalence condition of projective semimodule and horn exact sequence
摘要第一部分在[ 3 ]中張量積的定義下證明了投射半模的張量積仍是投射的；第二部分在文獻[ 4 ]正合列的定義下建立了投射半模與函子正合列的等價條件。 -
In case of high input dimension system model, taking norm of input vector as the input of wavelet network instead of using tensor product method to construct wavelet network, which could solve the problems of high computation and curse of dimensionality. in the selecting of specific wavelet basis, this thesis first gets initial wavelet basis collection according to spectrum analysis, then gives the least squares regression algorithm to optimize wavelet basis collection based on the least estimation error criteria, which could also initialize the model parameters and increase the speed of convergence
對于具體的模型小波基函數選擇，本文首先對樣本數據進行時頻域分析，根據小波基函數時頻空間覆蓋樣本時頻空間的原則，在小波框架中選擇建模所用的函數集，然後根據估計誤差最小準則，給出最小二乘回歸優選演算法以進一步優化小波基函數集。
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