optimization software package (Mosek ApS)
90
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Mosek ApS
optimization software package
Optimization Software Package, supplied by Mosek ApS, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/optimization+software+package/optimization+software+package/pmc12121641-89-8-13
Average 90 stars, based on 1 article reviews
Optimization Software Package, supplied by Mosek ApS, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/optimization+software+package/optimization+software+package/pmc12121641-89-8-13
Average 90 stars, based on 1 article reviews
optimization software package - by Bioz Stars,
2026-09
90/100 stars
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CRAfT Assay:Article Title: Robust fluence map optimization via alternating direction method of multipliers with empirical parameter optimization. Article Snippet: For the treatment planning during intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT), beam fluence maps can be first optimized via fluence map optimization (FMO) under the given dose prescriptions and constraints to conformally deliver the radiation dose to the targets while sparing the organs-at-risk, and then segmented into deliverable MLC apertures via leaf or arc sequencing algorithms.. This work is to develop an efficient algorithm for FMO based on alternating direction method of multipliers (ADMM).. Here we consider FMO with the least-square cost function and nonnegative fluence constraints, and its solution algorithm is based on ADMM, which is efficient and simple-to-implement. Comparison:Article Title: Robust fluence map optimization via alternating direction method of multipliers with empirical parameter optimization. Article Snippet: For the treatment planning during intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT), beam fluence maps can be first optimized via fluence map optimization (FMO) under the given dose prescriptions and constraints to conformally deliver the radiation dose to the targets while sparing the organs-at-risk, and then segmented into deliverable MLC apertures via leaf or arc sequencing algorithms.. This work is to develop an efficient algorithm for FMO based on alternating direction method of multipliers (ADMM).. Here we consider FMO with the least-square cost function and nonnegative fluence constraints, and its solution algorithm is based on ADMM, which is efficient and simple-to-implement. Software:Article Title: Robust fluence map optimization via alternating direction method of multipliers with empirical parameter optimization. Article Snippet: For the treatment planning during intensity modulated radiation therapy (IMRT) or volumetric modulated arc therapy (VMAT), beam fluence maps can be first optimized via fluence map optimization (FMO) under the given dose prescriptions and constraints to conformally deliver the radiation dose to the targets while sparing the organs-at-risk, and then segmented into deliverable MLC apertures via leaf or arc sequencing algorithms.. This work is to develop an efficient algorithm for FMO based on alternating direction method of multipliers (ADMM).. Here we consider FMO with the least-square cost function and nonnegative fluence constraints, and its solution algorithm is based on ADMM, which is efficient and simple-to-implement. Article Title: Analysis of 100% renewable energy for Iran in 2030: integrating solar PV, wind energy and storage Article Snippet: The devastating effects of fossil fuels on the environment, limited natural sources and increasing demand for energy across the world make renewable energy sources more important than in the past.. The 2015 United Nations Climate Change Conference resulted in a global agreement on net zero CO2 emissions shortly after the middle of the twenty-first century, which will lead to a collapse of fossil fuel demand.. The focus of the study is to define a cost optimal 100% renewable energy system in Iran by 2030 using an hourly resolution model. Article Title: An objective function exploiting suboptimal solutions in metabolic networks Article Snippet: .. All convex programming was implemented in MATLAB and solved using Article Title: Using total-variation regularization for intensity modulated radiation therapy inverse planning with field-specific numbers of segments Article Snippet: .. The algorithm was implemented in Matlab, using the Article Title: A variational-based non-smooth contact dynamics approach for the seismic analysis of historical masonry structures Article Snippet: .. It is noticed that the former CPU times could be improved by optimizing the programming of the collision detection lgorithm, whereas the latter time is fully ascribable to Article Title: Total-variation regularization based inverse planning for intensity modulated arc therapy. Article Snippet: .. The proposed algorithm was implemented in C, using the Article Title: Two Recurrent Neural Networks With Reduced Model Complexity for Constrained <i>l</i>₁-Norm Optimization Article Snippet: Because of the robustness and sparsity performance of least absolute deviation (LAD or l1) optimization, developing effective solution methods becomes an important topic.. Recurrent neural networks (RNNs) are reported to be capable of effectively solving constrained l1-norm optimization problems, but their convergence speed is limited.. To accelerate the convergence, this article introduces two RNNs, in form of continuousand discrete-time systems, for solving l1-norm optimization problems with linear equality and inequality constraints. Article Title: A unified framework for 3D radiation therapy and IMRT planning: plan optimization in the beamlet domain by constraining or regularizing the fluence map variations Article Snippet: .. The algorithm was implemented in Matlab, using the |