A5071938321- Advanced Control Systems Optimization
- Simulation Techniques and Applications
- Process Optimization and Integration
- Advanced Optimization Algorithms Research
- Fault Detection and Control Systems
- Numerical methods for differential equations
- Computational Physics and Python Applications
- Metaheuristic Optimization Algorithms Research
- Scientific Computing and Data Management
- Reservoir Engineering and Simulation Methods
- Smart Grid Security and Resilience
- Air Quality Monitoring and Forecasting
- Distributed and Parallel Computing Systems
- Semantic Web and Ontologies
- Model-Driven Software Engineering Techniques
- Optimization and Mathematical Programming
- Microbial Metabolic Engineering and Bioproduction
- Optical Network Technologies
- Power System Optimization and Stability
- Complex Systems and Decision Making
- Economic theories and models
- Matrix Theory and Algorithms
- Logic, Reasoning, and Knowledge
- Smart Grid Energy Management
- Integrated Energy Systems Optimization
Sandia National Laboratories
2017-2024
Sandia National Laboratories California
2017-2023
University of Waterloo
2021
Carnegie Mellon University
2013-2018
We describe PyNumero, an open-source, object-oriented programming framework in Python that supports rapid development of performant parallel algorithms for structured nonlinear problems (NLP’s) using the Message Passing Interface (MPI). PyNumero provides three fundamental building blocks developing NLP algorithms: a fast interface calculating first and second derivatives with AMPL Solver Library (ASL), number interfaces to efficient linear solvers, block-structured vectors matrices based on...
Abstract Background Community health worker (CHW) programs are an important resource in the implementation of universal coverage (UHC) many low- and middle-income countries (LMICs). However, with decentralized systems like Philippines, quality effectiveness CHW may differ across settings due to variations allocation local politics. In context system decentralization push toward UHC objective this study was explore how experiences CHWs different were shaped by governance administration...
Equation-Oriented (EO) modeling techniques have been gaining popularity as an alternative for simulating and optimizing process systems due to their flexibility ability leverage state-of-the-art solvers inaccessible many procedural approaches. Despite these advantages, adopting EO tools remains challenging the significant learning curve effort required build solve models. Many are available help diagnose problems with models reduce create use them. However, still need be integrated into...
Nonlinear modeling and optimization is a valuable tool for aiding decisions by engineering practitioners, but programming an problem based on complex electrical, mechanical, or chemical process time-consuming error-prone activity. Therefore, there need model analysis debugging tools that can detect diagnose errors. One such the Dulmage-Mendelsohn decomposition, which identifies structurally under- over-determined subsets in systems of equations variables partitioning bipartite graph system....
Advances in sensor technology have increased our ability to monitor a wide range of environments. However, even as the cost sensors decline, only limited number can be installed at any given site. The physical placement sensors, along with and operating conditions, large impact on adequately environmental change. This paper introduces new open-source Python package, called Chama, that determines optimal improve network's detection capabilities. methods are demonstrated using site-specific...