PENLAB: A MATLAB solver for nonlinear semidefinite optimization
PENLAB is an open source software package for nonlinear optimization, linear and
nonlinear semidefinite optimization and any combination of these. It is written entirely in …
nonlinear semidefinite optimization and any combination of these. It is written entirely in …
Sufficient optimality conditions hold for almost all nonlinear semidefinite programs
D Dorsch, W Gómez, V Shikhman - Mathematical Programming, 2016 - Springer
We derive a new genericity result for nonlinear semidefinite programming (NLSDP). Namely,
almost all linear perturbations of a given NLSDP are shown to be nondegenerate. Here …
almost all linear perturbations of a given NLSDP are shown to be nondegenerate. Here …
Multi-start approach for an integer determinant maximization problem
In this article, we present a multi-start approach to solve a determinant maximization
problem of an integer matrix variable that has a constant trace. In order to enforce that …
problem of an integer matrix variable that has a constant trace. In order to enforce that …
Optimized sampling patterns for multidimensional T2 experiments
CK Anand, AD Bain, A Sharma - Journal of Magnetic Resonance, 2009 - Elsevier
Non-uniform sampling in multidimensional NMR shows great promise to significantly
decrease experimental acquisition times, especially for relaxation experiments for which …
decrease experimental acquisition times, especially for relaxation experiments for which …
A self-concordance property for nonconvex semidefinite programming
The paper considers nonconvex quadratic semidefinite problems. This class arises, for
instance, as subproblems in the sequential semidefinite programming algorithm for solving …
instance, as subproblems in the sequential semidefinite programming algorithm for solving …
MRI pulse sequence design with first-order gradient moment nulling in arbitrary directions by solving a polynomial program
K Majewski, O Heid, T Kluge - IEEE Transactions on Medical …, 2010 - ieeexplore.ieee.org
We suggest a polynomial program for the calculation of optimized gradient waveforms for
magnetic resonance tomography pulse sequences. Such non-linear mathematical programs …
magnetic resonance tomography pulse sequences. Such non-linear mathematical programs …
Linear and nonlinear semidefinite programming
WG Bofill, JA Gómez - Pesquisa Operacional, 2014 - SciELO Brasil
This paper provides a short introduction to optimization problems with semidefinite
constraints. Basic duality and optimality conditions are presented. For linear semidefinite …
constraints. Basic duality and optimality conditions are presented. For linear semidefinite …
[PDF][PDF] Optimal fourier transform sampling patterns
CK Anand, A Sharma - 2007 - Citeseer
A model for optimizing the sampling of the Fourier Transform of a function is presented,
together with a sequential semi-definite trust region strategy, and an implementation using …
together with a sequential semi-definite trust region strategy, and an implementation using …
[PDF][PDF] Steady State Spectroscopy-CW NMR Lives!
CK Anand, AD Bain, Z Nie - spin - academia.edu
Christopher Kumar Anand , Alex D. Bain , Zhenghua Nie Page 1 Steady State Spectroscopy -
CW NMR Lives! Christopher Kumar Anand 1 , Alex D. Bain 2 , Zhenghua Nie 3 1 Department of …
CW NMR Lives! Christopher Kumar Anand 1 , Alex D. Bain 2 , Zhenghua Nie 3 1 Department of …