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This tutorial provides a systematic introduction to Gaussian process learning-based model predictive control (GP-MPC), an advanced approach integrating Gaussian process (GP) with model predictive control (MPC) for enhanced control in…

Robotics · Computer Science 2024-04-08 Jie Wang , Youmin Zhang

The MMT language has been developed as a scalable representation and interchange language for formal mathematical knowledge. It permits natural representations of the syntax and semantics of virtually all declarative languages while making…

Logic in Computer Science · Computer Science 2013-06-14 Florian Rabe

Wildlife conservation using continuous monitoring of environmental factors and biomedical classification, which generate a vast amount of sensor data, is a challenge due to limited bandwidth in the case of remote monitoring. It becomes…

Machine Learning · Computer Science 2023-04-25 Abhishek Ramdas Nair , Pallab Kumar Nath , Shantanu Chakrabartty , Chetan Singh Thakur

SI Toolbox is a package for estimating the isotropy violation in the CMB sky. It can be used for estimating the BipoSH coefficients, Dipole modulation, and Doppler boost parameters etc. Different Fortran subroutines, provided with this…

Instrumentation and Methods for Astrophysics · Physics 2019-02-19 Santanu Das

Formulations of the Image Decomposition Problem as a Multicut Problem (MP) w.r.t. a superpixel graph have received considerable attention. In contrast, instances of the MP w.r.t. a pixel grid graph have received little attention, firstly,…

Computer Vision and Pattern Recognition · Computer Science 2015-09-14 Margret Keuper , Evgeny Levinkov , Nicolas Bonneel , Guillaume Lavoué , Thomas Brox , Bjoern Andres

mlpy is a Python Open Source Machine Learning library built on top of NumPy/SciPy and the GNU Scientific Libraries. mlpy provides a wide range of state-of-the-art machine learning methods for supervised and unsupervised problems and it is…

Mathematical Software · Computer Science 2012-03-02 Davide Albanese , Roberto Visintainer , Stefano Merler , Samantha Riccadonna , Giuseppe Jurman , Cesare Furlanello

Active components, such as actuators, constitute a fundamental aspect of engineering systems, affording the freedom to shape system behavior as desired. However, this capability necessitates energy consumption, primarily in the form of…

Systems and Control · Electrical Eng. & Systems 2023-10-25 Saeid Bayat , James T. Allison

Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study of statistical and machine learning methods used for MMP…

Machine Learning · Computer Science 2023-04-18 Xiuli Zhu , Seshu Kumar Damarla , Biao Huang

The analytic integration and simplification of multi-loop Feynman integrals to special functions and constants plays an important role to perform higher order perturbative calculations in the Standard Model of elementary particles. In this…

High Energy Physics - Theory · Physics 2023-01-11 Johannes Blümlein , Carsten Schneider

Movement Primitives (MPs) are a well-established method for representing and generating modular robot trajectories. This work presents FA-ProDMP, a new approach which introduces force awareness to Probabilistic Dynamic Movement Primitives…

Robotics · Computer Science 2024-09-18 Paul Werner Lödige , Maximilian Xiling Li , Rudolf Lioutikov

Purpose: Magnetic polarizability tensors (MPTs) provide an economical characterisation of conducting magnetic metallic objects and their spectral signature can aid in the solution of metal detection inverse problems, such as scrap metal…

Numerical Analysis · Mathematics 2024-05-01 James Elgy , Paul D. Ledger

We report on an effort to develop methodologies for formal verification of parts of the Multi-Purpose Daemon (MPD) parallel process management system. MPD is a distributed collection of communicating processes. While the individual…

Logic in Computer Science · Computer Science 2007-05-23 Olga Shumsky Matlin , William McCune , Ewing Lusk

The measurement and correction of optics parameters has been a major concern since the advent of strong focusing synchrotron accelerators. A review of typical imperfections in accelerator optics together with measurement and correction…

Accelerator Physics · Physics 2020-06-19 R. Tomás , X. Buffat , J. Coello , E. Fol , L. Malina

Piecewise regression is a versatile approach used in various disciplines to approximate complex functions from limited, potentially noisy data points. In control, piecewise regression is, e.g., used to approximate the optimal control law of…

Optimization and Control · Mathematics 2024-07-10 Dieter Teichrib , Moritz Schulze Darup

We introduce milearn, a Python package for multi-instance learning (MIL) that follows the familiar scikit-learn fit/predict interface while providing a unified framework for both classical and neural-network-based MIL algorithms for…

Machine Learning · Computer Science 2025-12-02 Dmitry Zankov , Pavlo Polishchuk , Michal Sobieraj , Mario Barbatti

With the increasing diversity of heterogeneous architecture in the HPC industry, porting a legacy application to run on different architectures is a tough challenge. In this paper, we present OpenMP Advisor, a first of its kind compiler…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-11 Alok Mishra , Abid M. Malik , Meifeng Lin , Barbara Chapman

Objective: Radiation therapy treatment planning is a time-consuming process involving iterative adjustments of hyperparameters. To automate the treatment planning process, we propose a meta-optimization framework, called MetaPlanner (MP).…

Medical Physics · Physics 2022-02-22 Charles Huang , Yusuke Nomura , Yong Yang , Lei Xing

MATLAB is a numerical computing platform used by scientists, engineers, mathematicians, and students which contains many mathematical functions, including isprime. MATLAB's isprime function determines which elements of an input array are…

Mathematical Software · Computer Science 2021-08-11 Travis Near

In this paper, we present OMP2MPI a tool that generates automatically MPI source code from OpenMP. With this transformation the original program can be adapted to be able to exploit a larger number of processors by surpassing the limits of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-06-12 Albert Saa-Garriga , David Castells-Rufas , Jordi Carrabina

This paper provides a comprehensive tutorial for Bayesian practitioners in pharmacometrics using Pumas workflows. We start by giving a brief motivation of Bayesian inference for pharmacometrics highlighting limitations in existing software…

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