Results 51 to 60 of about 9,886,421 (293)

APPLICATION OF THE TABLECTIVE PROCESSOR WHILE SOLVING THE OPTIMIZATION PROBLEMS [PDF]

Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2017
The article discusses methods for solving optimization problems with the use of table processor tools — «Solution search»and «Script manager». Solutions of several examples of linear and integer optimization are presented.
Kudrinskaya O. V.
doaj   +1 more source

Saturation in Linear Optimization [PDF]

Journal of Optimization Theory and Applications, 2003
In a solvable linear optimization problem, a constraint is saturated if it is binding at a certain optimal solution and it is weakly saturated if it is binding at a proper subset of the optimal set. Nonsaturation and weak saturation can be seen as redundancy phenomena in the sense that the elimination of a finite number of these constraints preserves ...
Goberna, Miguel A., Jornet Pla, Valentín, Molina Vila, Mariola D.   +2 more
openaire   +2 more sources

Stereotactic Body Radiation Therapy for Pediatric, Adolescent, and Young Adult Patients With Osteosarcoma: Local Control Outcomes With Dosimetric Analysis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis, Shauna R. Campbell, Jonathan Jang, Eashwar Somasundaram, Chandana A. Reddy, Jacob G. Scott, Lilyana Angelov, Peter M. Anderson, Matteo Trucco, Zachary Burke, Lukas Nystrom, Nathan Mesko, Anthony Magnelli, Erin S. Murphy   +13 more
wiley   +1 more source

A Linear Optimization for Slope Leveling of Ground-Mounted Centralized Photovoltaic Sites

Buildings
Slope leveling is essential for the successful implementation of ground-mounted centralized photovoltaic (PV) plants, but currently, there is a lack of optimization methods available. To address this issue, a linear programming approach has been proposed
Yanli Tao, Nan Zheng, Yuanzhe Cheng, Jianfeng Zhu, Weibin Zhong, Yasong Sun, Jianyong Zhao, Baoshun Dong, Yongming Wang, Jinming Ren   +9 more
doaj   +1 more source

Calibration of Mine Ventilation Network Models using the Non-Linear Optimization Algorithm

, 2017
Effective ventilation planning is vital to underground mining. To ensure stable operation of the ventilation system and to avoid airflow disorder, mine ventilation network (MVN) models have been widely used in simulating and optimizing the mine ...
Guang Xu, Jinxin Huang, B. Nie, Duncan Chalmers, Zhuo-ming Yang   +4 more
semanticscholar   +1 more source

Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li, Raquel Revuelta Iniesta, Alan R. Barker, Dimitris Vlachopoulos, Tomáš Sláma, Christina Schindera, Fabiën N. Belle   +6 more
wiley   +1 more source

A linear optimization technique for graph pebbling [PDF]

, 2011
Graph pebbling is a network model for studying whether or not a given supply of discrete pebbles can satisfy a given demand via pebbling moves. A pebbling move across an edge of a graph takes two pebbles from one endpoint and places one pebble at the ...
Hurlbert, Glenn
core  

Computationally Efficient Trajectory Optimization for Linear Control Systems with Input and State Constraints

, 2012
This paper presents a trajectory generation method that optimizes a quadratic cost functional with respect to linear system dynamics and to linear input and state constraints.
Kennel, Ralph, Stumper, Jean-Francois
core   +1 more source

Scale-Free Algorithms for Online Linear Optimization [PDF]

International Conference on Algorithmic Learning Theory, 2015
We design algorithms for online linear optimization that have optimal regret and at the same time do not need to know any upper or lower bounds on the norm of the loss vectors.
Francesco Orabona, D. Pál
semanticscholar   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source