Results 131 to 140 of about 7,185 (222)
ADMM for Structured Fractional Minimization
This paper considers a class of structured fractional minimization problems. The numerator consists of a differentiable function, a simple nonconvex nonsmooth function, a concave nonsmooth function, and a convex nonsmooth function composed with a linear operator.
openaire +3 more sources
On the (linear) convergence of Generalized Newton Inexact ADMM
This paper presents GeNI-ADMM, a framework for large-scale composite convex optimization, that facilitates theoretical analysis of both existing and new approximate ADMM schemes.
Diamandis, Theo +4 more
core
SuperADMM:Solving Quadratic Programs Faster with Dynamic Weighting ADMM
In this paper we develop an accelerated Alternating Direction Method of Multipliers (ADMM) algorithm for solving quadratic programs called superADMM. Unlike standard ADMM QP solvers, superADMM uses a novel dynamic weighting method that penalizes each ...
Verheijen, P.C.N. +2 more
core +1 more source
Deep Cardiac MRI Reconstruction with ADMM
Cardiac magnetic resonance imaging is a valuable non-invasive tool for identifying cardiovascular diseases. For instance, Cine MRI is the benchmark modality for assessing the cardiac function and anatomy. On the other hand, multi-contrast (T1 and T2) mapping has the potential to assess pathologies and abnormalities in the myocardium and interstitium ...
George Yiasemis +3 more
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A parallel algorithm for generating Pareto-optimal radiosurgery treatment plans. [PDF]
da Silva J +4 more
europepmc +1 more source
Mixed-Integer ADMM Decoding for LDPC codes
In this thesis, we present a new algorithm for linear programming (LP) decoding of low-density parity-check (LDPC) codes based on alternating direction method of multipliers (ADMM) decoding. We propose the Mixed-Integer ADMM (MI-ADMM) decoding algorithm,
Ho, Anthony
core
An ADMM-LSTM framework for short-term load forecasting
Accurate short-term load forecasting (STLF) is crucial for maintaining reliable and efficient operations within power systems. With the continuous increase in the volume and variety of energy data provided by renewables, electric vehicles, and other ...
Xiang, Wei +4 more
core +1 more source
Resilient distributed model predictive control for cooperative microgrids under communication loss with demand response integration. [PDF]
Alghamdi B.
europepmc +1 more source
Penalized Estimation in Finite Mixtures of Multivariate Regression Models via the EM-PGM Algorithm. [PDF]
Kang H, Shin S.
europepmc +1 more source
Understanding the ADMM Algorithm via High-Resolution Differential Equations
In the fields of statistics, machine learning, image science, and related areas, there is an increasing demand for decentralized collection or storage of large-scale datasets, as well as distributed solution methods.
Li, Bowen, Shi, Bin
core

