Iterative Optimization Using Normalized Transmission Map for IMRT With Arbitrary Beam ProfilesUltrasound wave irradiationMicrobubblePromoterSuicide geneBreast cancerSuicide gene therapy has become an effective
The obtained strain LL006 was used as a test strain for further enzyme design and optimization to increase PN production. Protein engineering of key enzymes The efficiency of biosynthetic enzymes directly determines the rates of metabolic reactions and thus controls the flux distribution, which is ...
Code Issues Pull requests An iterative computing framework for both Hadoop MapReduce and Hadoop YARN. machine-learning yarn hadoop in-memory iterative Updated May 20, 2022 Java cylondata / twister2 Star 57 Code Issues Pull requests A composable framework for fast and scalable data analytics ...
We consider a minimax problem motivated by distributionally robust optimization (DRO) when the worst-case distribution is continuous, leading to significant computational challenges due to the infinite-dimensional nature of the optimization problem. Recent research has explored learning the worst-case ...
Fig. 7. Solutions types/algorithms for optimization in CRAN. Iterative: Iterative algorithms compute a sequence of points for an optimal solution starting from an initial guess. In (Qi et al., 2014), an iterative method was used to solve rate optimization problem while reducing the distributed ...
In this paper, we report progress on the group sparsity approach to beam orientation optimization, wherein beam angles are selected by solving a large scale fluence map optimization problem with an...doi:10.1002/mp.12916Med PhysMedical Physics...
convex optimizationsubgradient projectionheavy ball dynamical systemThis paper deals with a general formalism which consists in approximating a point in a nonempty set $S$ , in a real Hilbert space $H$ , by a sequence $(x_n) subset H$ such that $x_{{n + 1}} : = {user1{mathcal{T...
Iterative Linear Quadratic Regulator (iLQR)is an optimal control algorithm commonly used to solve trajectory optimization problems for nonlinear systems. This repository offers a pure C++ implementation that prioritizes speed, minimal dependencies, and straightforward integration. The corresponding optimal cont...
For a linear matrix functionfinX \in {\mathbb {R}}^{m\times n}we consider inhomogeneous linear matrix equationsf(X) = EforE \ne 0that have or do not have solutions. For such systems we compute optimal norm constrained solutions iteratively using the Conjugate Gradient and Lanczos’ methods...
Gene selection for cancer identification: a decision tree model empowered by particle swarm optimization algorithm. BMC Bioinforma. 2014;15(1):49. 6. Bolón-Canedo V, Sánchez-Maroño N, Alonso-Betanzos A, Benítez JM, Herrera F. A review of microarray datasets and applied feature selection ...