Imaging-based versus threshold assessment-based deep brain stimulation programming in Parkinson's disease: study protocol for a randomized controlled trial {1a}. [PDF]
van der Weide A +6 more
europepmc +1 more source
Design, implementation and validation of a web-based dynamic simulation platform for pumped storage hydropower plant control systems. [PDF]
Zhang C, Liang T, Li Y, Zhang W, Wang Y.
europepmc +1 more source
T-rex: standardized analysis of germline variants in whole-exome sequencing trios. [PDF]
Reh SL +6 more
europepmc +1 more source
Ferroelectric Hafnium Oxide for In-Memory Computing: Advancing Devices, Circuit Architectures, and System-Level Integration. [PDF]
He C, Li W, Li J, Li Q, Xie Z, Du T.
europepmc +1 more source
Weight gain, not birth size: Rethinking what really shapes a child's growing heart. [PDF]
Kamal M.
europepmc +1 more source
ASP-assisted symbolic regression for interpretable modelling of 3D laminar channel flow. [PDF]
Aravanis T +4 more
europepmc +1 more source
Related searches:
Non-Linear Programming with Randomization
Management Science, 1965This paper considers non-linear programming models in which randomized solutions are allowed. That is, we consider the minimization of the expected value of a non-linear function subject to constraints on the expectation of nonlinear functions, where the expectations are taken with respect to randomized decision strategies.
openaire +1 more source
This chapter begins by introducing non-linear programming. Next, it proposes the formulation of a series of non-linear programming problems with their corresponding solutions. Specifically, multi-modal and multi-variable problems with inequality constraints are modelled. The solution is done by applying the Kuhn-Tucker conditions. It sets out different
Raúl Poler +2 more
openaire +1 more source
A non-linear estimation program
Preprints of papers presented at the 14th national meeting of the Association for Computing Machinery on - ACM '59, 1959A program for non-linear estimation has been written for the IBM 704, based on metholology developed by G. E. P. Box, Director of the Statistical Techniques Research Group, Department of Mathematics, Princeton University. The program represents a cooperative effort between that group and the Mathematics and Applications Department, Data Processing ...
openaire +1 more source

