Results 101 to 105 of about 1,159 (105)

Numerical performance of a descent conjugate gradient algorithm

, 2020
We present a modification of the conjugate gradient (CG) algorithm. The proposed method is based on adapting the approach of a three-term CG hybridized linearly with a spectral-scaling memoryless BFGS update.
I. Osinuga, Y. N. Nwodo
semanticscholar   +1 more source

Mixed-integer Nonlinear Optimization: A Hatchery for Modern Mathematics

Oberwolfach Reports
. The aim of this workshop was fostering the growth of new mathematical ideas arising from mixed-integer nonlinear optimization. In this regard, the workshop has been a resounding success.
Leo Liberti, S. Sager, Angelika Wiegele
semanticscholar   +1 more source

Real Algebraic Geometry With a View Toward Moment Problems and Optimization

, 2018
Continuing the tradition initiated in MFOworkshop held in 2014, the aim of this workshop was to foster the interaction between real algebraic geometry, operator theory, optimization, and algorithms for systems control.
D. Henrion, M. Infusino, S. Kuhlmann, V. Vinnikov   +3 more
semanticscholar   +1 more source

Introduction to max-linear programming

, 2009
Let ab = max(a;b) and ab = a+b for a;b 2 R: Extend this pair of operations to matrices and vectors in the same way as in linear algebra. Being motivated by scheduling of multiprocessor interactive systems we introduce max-linear programs of the form f T ...
P. Butkovic, A. Aminu
semanticscholar   +1 more source

An ℓq- Seminorm Variational Model for Impulse Noise Reduction

East Asian Journal on Applied Mathematics, 2018
A variational lq-seminorm model to reduce the impulse noise is proposed. For 0 < q < 1, it captures sparsity better than the l1-norm model. Numerical experiments show that for small q this model is more efficient than TVl1 model if the noise level is low.
Y. Jung
semanticscholar   +1 more source