To create a matrix with package tensor is easy:// Creating a (2,2) matrix of int: a := New(WithShape(2, 2), WithBacking([]int{1, 2, 3, 4})) fmt.Printf("a:\n%v\n", a) // Output: // a: // ⎡1 2⎤ // ⎣3 4⎦ //...
Specialised matrix types for efficient optimised operations (identity, diagonal, sparse etc.). Support for arbitraryn-dimensionalnumerical arrays. Status Vectorz is reasonably mature, battle tested and being used in production applications. The API is still evolving however as new features get added so...
We present an algorithm of the reduction of the differential equations for master integrals the Fuchsian form with the right-hand side matrix linearly depe... RN Lee - 《Journal of High Energy Physics》 被引量: 147发表: 2014年 Calculation of fracture mechanics parameters for an arbitrary three...
whereXis a NOT gate\left[ {\begin{matrix} 0 &{} 1 \\ 1 &{} 0 \end{matrix}} \right]that appears in the CNOT gates above. We can analyze the circuit above using these two simple properties and show that the circuit does create a block diagonal matrix with2 \times 2blocks on the...
These interact but keep their identity as in one dimension. We give solutions for the interaction of up to four of these waves for any matrix α and suggest a solution for N of them. There is only one essential difference between these solutions and those of the one-dimensional system; i...
Laddha, Loop Corrected Soft Photon Theorem as a Ward Identity, JHEP 10 (2019) 287 [arXiv:1903.09133] [INSPIRE]. Article ADS MathSciNet Google Scholar S. Atul Bhatkar, Ward identity for loop level soft photon theorem for massless QED coupled to gravity, JHEP 10 (2020) 110 [arXiv:...
Optimal linear gate complexity The complexity of matrix with 2 × 2 ibmlopclkems ceonrtrinesgpUoFnRdQiInigs determined to the pixel by the complexity of the circuit for UR , a block diagonal values. In this section, we derive an alternative circuit implementation for UR that requires ...
whereby the matrix Q is an orthogonal matrix such that QQT =I, where I is the identity matrix, said output signals being taken from the matrix multiplier means, where each multiplier constant of said matrix multiplier means is controlled by a matrix multiplication means so that matrix operator...
# 需要导入模块: from blocks.bricks import NDimensionalSoftmax [as 别名]# 或者: from blocks.bricks.NDimensionalSoftmax importapply[as 别名]defcreate_rnn(hidden_dim, vocab_dim,mode="rnn"):# inputx = tensor.imatrix('inchar') y = tensor.imatrix('outchar')#W = LookupTable( ...
matrix A = (a ij ) of real entries a ij ’s corresponds to an R n → R m linear transformation (opera- tor). Its transpose, A T , is an n×m matrix. An n×n matrix is called quadratic and it maps R n into itself. The identity matrix is denoted by I or I n if we ...