Mathematically a norm is a total size or length of all vectors in a vector space or matrices. For simplicity, we can say that the higher the norm is, the bigger the (value in) matrix or vector is. Norm may come in many forms and many names, including these popular name:Euclidean dist...
Mathematically a norm is a total size or length of all vectors in a vector space or matrices. For simplicity, we can say that the higher the norm is, the bigger the (value in) matrix or vector is. Norm may come in many forms and many names, including these popular name:Euclidean dist...
As a consequence, we obtain the delocalization result for the eigenvectors, i.e., the upper bound for the infinity norm of unit eigenvectors corresponding to eigenvalues in the bulk of spectrum, is $O(sqrt{log n/n})$. The bound is the same as the infinity norm of a vector chosen ...
1.Dim Moving Target Detection Based on Infinite Norm of the Discontinuous Framed Difference Vector基于隔帧差分向量无穷范数的运动弱小目标的检测 2.A CRITICAL CONDITION FOR THE MATRIX TO BE AN H-MATRICES AND THE INFINITE NORM ESTIMATION FOR THE INVERSEOF A CLASS OF REAL MATRIX非奇异H矩阵的一个判定...
This paper presents two neural network approaches to minimum infinity-norm solution of the velocity inverse kinematics problem for redundant robots. Three recurrent neural networks are applied for determining a joint velocity vector with its maximum absolute value component being minimal among all possible...
where xij is the (0 or 1) response by examinee j to item i, a⇀i is a vector of parameters for item i with elements aik that indicate how well the item discriminates on each trait dimension k, b⇀i is a vector of parameter for item i with elements bik that indicate the level...
The type(x, infinity) function returns true if x is one of the following: 1. infinity or -infinity 2. a floating-point number whose exponent is infinity 3. a nonreal of the form a+Ib, where at least one of a or b satisfies either (1) or (2) Note: A nonreal is an...
S is known to be positive definite. It has eigenvalues of eig(S) ans =5x1 1.0958 1.8454 3.2125 7.1567 11.4346 Next, I'll just make up a vector for A(1,:). A1 = [2 3 5 7 11]; norm(A1) ans = 14.4222 Next, I'll make the simple claim, t...
A new algorithm for detecting dim moving target in IR image sequence by the infinite norm of discontinuous frame difference vector is proposed in this paper. 提出了运用隔帧差分向量无穷范数检测红外图像序列中运动弱小目标一种新算法。 3. According to the sense of fuzzy satisfactory degree, the valu...
Interpretation of H-Infinity Norm H ∞ Interconnection with Typical MIMO Performance Objectives The closed-loop performance objectives are formulated as weighted closed-loop transfer functions that are to be made small through feedback. A generic example, which includes many relevant terms, is shown in...