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Jordan-Elimination und Ausgleichung nach kleinsten Quadraten
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/zamm.19600401041openalex-snapshot
M. Engeli — Th. Ginsburg — H. Rutishauser — E. Stiefel, Refined Iterative Methods for Computation of the Solution and the Eigenvalues of Self‐Adjoint Bondary Value Problems. (Mitteilungen aus dem Institut für angewandte Mathematik der ETH Zürich, Nr. 8.) 107 S. Basel/Stuttgart 1959. Birkhäuser…
inferredcites →https://doi.org/10.1007/978-3-0348-7224-9openalex-snapshot
Refined Iterative Methods for Computation of the Solution and the Eigenvalues of Self-Adjoint Boundary Value Problems
inferredcites →https://doi.org/10.1007/bf01386203openalex-snapshot
Note on Jordan elimination, linear programming and Tchebycheff approximation
inferredcites →https://doi.org/10.1007/bf01386369openalex-snapshot
�ber diskrete und lineare Tschebyscheff-Approximationen
inferredcites →https://doi.org/10.1007/bf01600606openalex-snapshot
Zur Matrizeninversion nach Gauss-Jordan
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The hypercircle in mathematical physics
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Numerical Determination of Fundamental Modes
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The Hypercircle in Mathematical Physics
inferredcites →https://doi.org/10.3929/ethz-a-000103799openalex-snapshot
Iterative Lösung und Fehlerabschätzung in der Ausgleichsrechnung
inferredcites →https://doi.org/10.6028/jres.049.044openalex-snapshot
Methods of conjugate gradients for solving linear systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Algorithms for Linear Least Squares Problems
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Numerics of Gram-Schmidt orthogonalization
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Numerical accuracy of statistical algorithms for microcomputers
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Test procedures and test problems for least squares algorithms
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FURTHER REFERENCES
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METHODS FOR SPARSE LINEAR LEAST SQUARES PROBLEMS
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Methods for Computing the Moorse-Penrose Generalized Inverse, and Related Matters
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Computer-Aided formulation design for pharmaceutical drug product development, part 01: Materials exploration through a visualization tool
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An efficient QR based method for the computation of Lyapunov exponents
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Numerical Analysis for Engineers and Scientists
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On the solution of certain overdetermined systems of linear equations that arise in geophysics
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Denoising applied to spectroscopies – part I: concept and limits
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Denoising applied to spectroscopies – Part II: Decreasing computation time
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Computationally efficient statistical face model in the feature space
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Design and Implementation of Compensated Gram-Schmidt Algorithm
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Augmented Implicitly Restarted Lanczos Bidiagonalization Methods
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Numerical Methods for Large Sparse Linear Least Squares Problems
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Preconditioned Iterative Methods for Solving Linear Least Squares Problems
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Preconditioning of Linear Least Squares by Robust Incomplete Factorization for Implicitly Held Normal Equations
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A Robust Preconditioner with Low Memory Requirements for Large Sparse Least Squares Problems
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More remarks on Scolnik's approach to linear programming
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THE NUMERICAL SOLUTION OF OBSERVATION EQUATIONS ARISING FROM THE LEAST SQUARES ADJUSTMENT AND STATISTICAL ERROR ANALYSIS OF GEODETIC NETWORKS
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Random Projection in Deep Neural Networks
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Identification des propriétés des matériaux et de la distribution des phases des matériaux hétérogènes par des méthodes data-driven : Vers un espace constitutif amélioré
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Increasing solid-state NMR sensitivity : instrumentation, fast acquisitions and signal processing
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