Joseph M. Landsberg is affiliated with Texas A&M University in the United States. Their research primarily spans the fields of Mathematics and Computer Science, contributing substantially to several subfields including Computational Theory and Mathematics, Computational Mathematics, Algebra and Number Theory, Discrete Mathematics and Combinatorics, and Geometry and Topology.
Their work addresses a range of main topics such as Tensor decomposition and applications, Matrix Theory and Algorithms, Algebraic structures and combinatorial models, Finite Group Theory Research, Commutative Algebra and Its Applications, Advanced Topics in Algebra, and Digital Image Processing Techniques.
Landsberg's recent papers illustrate a focus on tensor theory and computational complexity. Notable publications include:
The frequent publication venues for their work include arXiv (Cornell University), Collectanea mathematica, Mathematische Annalen, Computational Complexity, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).
Landsberg has collaborated often with researchers such as Austin Conner, Fulvio Gesmundo, Emanuele Ventura, Han Huang, and Joachim Jelisiejew.
Their scholarly contributions also include a book published by the American Mathematical Society titled Quantum Computation and Quantum Information (2024), which has received citations within the academic community.
In recognition of their professional work, Landsberg was named a Fellow of the American Mathematical Society in 2017 for contributions encompassing differential geometry, geometry of projective varieties, representation theory, and complexity theory.
J. M. Landsberg
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Peter Bürgisser;J. M. Landsberg;Laurent Manivel;Jerzy Weyman
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French Institute for Research in Computer Science and Automation - INRIA
Publications: 14
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