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

[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 || Introduction

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 280 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 || Tensorisation

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 490 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 Subspace Approximation

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg ⚖ 455 KB

[Springer Series in Computational Mathem

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

✍ Hackbusch, Wolfgang 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 749 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