Yair Censor mainly focuses on Mathematical optimization, Algorithm, Iterative method, Applied mathematics and Iterative reconstruction. Yair Censor studies Dykstra's projection algorithm, a branch of Mathematical optimization. His studies deal with areas such as Solution point and Inverse problem as well as Algorithm.
His Iterative method research integrates issues from Image quality, Image resolution, Optical transfer function, Image noise and Tomography. His studies in Applied mathematics integrate themes in fields like Orthographic projection, Subgradient method and Mathematical analysis. His study in Iterative reconstruction is interdisciplinary in nature, drawing from both Discretization, Hyperplane, Bayesian probability and Calculus.
His primary areas of study are Mathematical optimization, Algorithm, Iterative reconstruction, Applied mathematics and Iterative method. His study focuses on the intersection of Mathematical optimization and fields such as Convex optimization with connections in the field of Optimization problem. His study looks at the relationship between Algorithm and topics such as Inverse problem, which overlap with Discretization.
The various areas that Yair Censor examines in his Iterative reconstruction study include Image resolution, Finite set, Partial derivative and System of linear equations. His Applied mathematics research includes elements of Fixed point, Hyperplane and Hilbert space. The Hilbert space study combines topics in areas such as Discrete mathematics, Projection, Algebra and Weak convergence.
His primary areas of study are Mathematical optimization, Algorithm, Hilbert space, Point and Iterative reconstruction. The Mathematical optimization study combines topics in areas such as Function and Projection. His Algorithm research integrates issues from Image, Inverse problem and Expectation–maximization algorithm.
His work deals with themes such as Discrete mathematics, Fixed point, Algebra and Variational inequality, Applied mathematics, which intersect with Hilbert space. His research in Iterative reconstruction intersects with topics in Proton computed tomography, Theory of computation, Partial derivative and System of linear equations. Yair Censor combines subjects such as Projection method, Optimization problem, Convex function and Convex optimization with his study of Subgradient method.
His main research concerns Mathematical optimization, Algorithm, Minification, Hilbert space and Variational inequality. Yair Censor has researched Mathematical optimization in several fields, including Parallel projection, Projection and Relaxation. His Algorithm research includes themes of Projection, Imaging phantom, Inverse problem and System of linear equations.
His work in Minification addresses subjects such as Subgradient method, which are connected to disciplines such as Projection method. His Variational inequality research includes elements of Image and Euclidean space. While the research belongs to areas of Applied mathematics, Yair Censor spends his time largely on the problem of Mathematical analysis, intersecting his research to questions surrounding Newton's method and Proximal Gradient Methods.
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Parallel Optimization: Theory, Algorithms, and Applications
Yair Al Censor;Stavros A. Zenios.
A multiprojection algorithm using Bregman projections in a product space
Yair Censor;Tommy Elfving.
Numerical Algorithms (1994)
Finite series-expansion reconstruction methods
Proceedings of the IEEE (1983)
A unified approach for inversion problems in intensity-modulated radiation therapy
Yair Censor;Thomas Bortfeld;Benjamin Martin;Alexei Trofimov.
Physics in Medicine and Biology (2006)
Row-Action Methods for Huge and Sparse Systems and Their Applications
Siam Review (1981)
The Multiple-Sets Split Feasibility Problem and Its Applications for Inverse Problems
Yair Censor;Tommy Elfving;Nirit Kopf;Thomas Bortfeld.
Inverse Problems (2005)
An iterative row-action method for interval convex programming
Y. Censor;A. Lent.
Journal of Optimization Theory and Applications (1981)
Pareto optimality in multiobjective problems
Applied Mathematics and Optimization (1977)
The Subgradient Extragradient Method for Solving Variational Inequalities in Hilbert Space.
Yair Censor;Aviv Gibali;Simeon Reich.
Journal of Optimization Theory and Applications (2011)
Algorithms for the Split Variational Inequality Problem
Yair Censor;Aviv Gibali;Simeon Reich.
Numerical Algorithms (2012)
Profile was last updated on December 6th, 2021.
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