Y Yuan - Mathematical Programming, 2015 - Springer
Trust region methods are a class of numerical methods for optimization. Unlike line search type methods where a line search is carried out in each iteration, trust region methods …
A comprehensive and unified account of the neural computations underlying speech production, offering a theoretical framework bridging the behavioral and the neurological …
P Hennig, CJ Schuler - Journal of Machine Learning Research, 2012 - jmlr.org
Contemporary global optimization algorithms are based on local measures of utility, rather than a probability measure over location and value of the optimum. They thus attempt to …
The time it takes a bound electron to respond to the electromagnetic force of light sets a fundamental speed limit on the dynamic control of matter and electromagnetic signal …
Optogenetics is the genetic approach for controlling cellular processes with light. It provides spatiotemporal, quantitative and reversible control over biological signaling and metabolic …
PK Mandal, S Saharan, M Tripathi, G Murari - Biological psychiatry, 2015 - Elsevier
Background Extant data from in vivo animal models and postmortem studies indicate that Alzheimer's disease (AD) pathology is associated with reduction of the brain antioxidant …
RH Byrd, ME Hribar, J Nocedal - SIAM Journal on Optimization, 1999 - SIAM
The design and implementation of a new algorithm for solving large nonlinear programming problems is described. It follows a barrier approach that employs sequential quadratic …
The field of inverse problems has experienced explosive growth in the last few decades. This is due in part to the importance of applications, like biomedical and seismic imaging …
An algorithm for minimizing a nonlinear function subject to nonlinear inequality constraints is described. It applies sequential quadratic programming techniques to a sequence of barrier …