[Springer Series in Computational Mathematics] Tensor Spaces and Numerical Tensor Calculus Volume 42 || Tensor Subspace Approximation

[Springer Series in Computational Mathem

[Springer Series in Computational Mathematics] Tensor Spaces and Numerical Tensor Calculus Volume 42 || Tensor Subspace Representation

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 441 KB

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

[Springer Series in Computational Mathem

[Springer Series in Computational Mathematics] Tensor Spaces and Numerical Tensor Calculus Volume 42 || Banach Tensor Spaces

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 786 KB

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

[Springer Series in Computational Mathem

[Springer Series in Computational Mathematics] Tensor Spaces and Numerical Tensor Calculus Volume 42 || Tensor Operations

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 432 KB

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

[Springer Series in Computational Mathem

[Springer Series in Computational Mathematics] Tensor Spaces and Numerical Tensor Calculus Volume 42 || Minimal Subspaces

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 360 KB

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

[Springer Series in Computational Mathem

[Springer Series in Computational Mathematics] Tensor Spaces and Numerical Tensor Calculus Volume 42 || Generalised Cross Approximation

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 295 KB

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

[Springer Series in Computational Mathem

[Springer Series in Computational Mathematics] Tensor Spaces and Numerical Tensor Calculus Volume 42 || r-Term Approximation

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 451 KB

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