Special numerical techniques are already needed to deal with nxn matrices for large n.Tensor data are of size nxnx...xn=n^d, where n^d exceeds the computer memory by far. They appear for problems of high spatial dimensions. Since standard methods fail, a particular tensor calculus is needed to treat such problems. The monograph describes the methods how tensors can be practically treated and how numerical operations can be performed. Applications are problems from quantum chemistry, approximation of multivariate functions, solution of pde, e.g., with stochastic coefficients, etc.?
Series: Springer Series in Computational Mathematics
Number Of Pages: 524
Published: 24th February 2012
Dimensions (cm): 23.368 x 16.002 x 3.302
Weight (kg): 0.839