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Overview "Algorithmic Task" (202 entries)
All Fields
Algorithms in Algebra (Lecture Notes, Summer Term 2017, Janko Böhm
Category: ConvexHull
Category: Eigenvalue Algorithms and Modifications
Classical Euclidean geometry algorithms and problems
Control Configuration Selection
Gaussian elimination AI generated category
General Algorithms
Inverse Scattering
Model Order Reduction
Model Order Reduction Benchmarks
Numerical Linear Algebra
Optimization (manual node)
Reconstruction Algorithms in Natterer-Wübbeling (2001)
Runge-Kutta methods
Some classes from Periodic Table of Finite Elements
Sorting algorithms (default category sorting)
Tomography
~Testing
➔ Problem Class: Inverse scattering with limited-aperture or limited-view data (stability and reconstruction)
➔ Problem Class: Inverse source scattering (recovering source support or strengths from radiated fields)
➔ Problem Class: Large-scale sparse eigenvalue problem
➔ Problem class: linear algebra problems over fields (solve linear systems, row echelon forms)
➔ Problem Class: Linear eigenvalue problem Ax = λx
➔ Problem Class: Linear least-squares problems and pseudoinverses
➔ Problem Class: Linear systems Ax = b (general dense or sparse)
➔ Problem Class: Linear systems with strong matrix structure
➔ Problem Class: Non-Hermitian / nonsymmetric eigenvalue problem
➔ Problem class: normalize affine algebras; compute conductor and non-normal locus
➔ Problem class: number theory computation problems on Z (gcd, primality, prime enumeration)
➔ Problem Class: Optical diffraction tomography (ODT) via Born/Rytov and beyond)
➔ Problem Class: Parallel and distributed sorting
➔ Problem Class: Partial spectrum (few extreme or interval) eigen-computation
➔ Problem Class: Phaseless or intensity-only inverse scattering (modulus-only data in near/far field)
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