Search Results for "least squares plane"
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Showing 15 open source projects for "least squares plane"
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statsmodels
Statsmodels, statistical modeling and econometrics in Python
statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration. An extensive list of result statistics are available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open source Modified BSD (3-clause) license. Generalized linear models with support for all... -
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Deckhouse
Kubernetes platform from Flant
...It manages system software on the nodes (kernel, CRI, kubelet), basic Kubernetes components (control plane, etc, certificates, etc.). -
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DCV Color Primitives
DCV Color Primitives Library
DCV Color Primitives is a library to perform image color model conversion. Aware of the underlying hardware and supplemental cpu extension sets (up to avx2). Support data coming from a single buffer or coming from multiple image planes. Support non-tightly packed data. Support images greater than 4GB (64 bit). Convert an image from bgra to nv12 (single plane) format containing yuv in BT601. You might want to propagate errors to the caller function or mix with some other error types. So far,... -
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Java·Applied·Geodesy·3D
Least-Squares Adjustment Software for Geodetic Sciences
JAG3D is no longer developed at source-forge, and has moved to GitHub. Please visit https://github.com/applied-geodesy/jag3d or https://software.applied-geodesy.org to get the latest version. -
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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libRSF
A robust sensor fusion library for online localization
...The general idea of factor graphs is to describe the state estimation problem as a graph of nodes (the state variables) that are connected by factors (measurements). The resulting graph optimization problem can be solved by applying non-linear least squares optimization. -
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Skalli
IVS & ILRS Reference Point Determination
Skalli is a simple tool to estimate the IVS (International VLBI Service for Geodesy and Astrometry) and ILRS (International Laser Ranging Service) reference point of a radio or laser telescope. -
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FilterPy
Python Kalman filtering and optimal estimation library
FilterPy is a Python library for Kalman filtering and related state-estimation methods. It implements standard, extended, and unscented Kalman filters, along with Kalman smoothers. The package also includes particle filters, least-squares filters, fading-memory filters, g-h filters, discrete Bayes methods, and H-infinity tools. Its code favors readability and close correspondence with the underlying equations. NumPy and SciPy handle the numerical work, with Matplotlib commonly used for visualization. The library accompanies the book Kalman and Bayesian Filters in Python and is useful for learning, prototyping, tracking, navigation, and estimation experiments. -
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PALMA-leafmov
Command-line leaf movement analysis tool for Arabidopsis thaliana
...PALMA consists of two components: PALMA1 extracts leaf and cotyledon tip positions from time-lapse photography studies and parses them into .csv-files which are read by PALMA2. PALMA2 performs Fast-Fourier transformation and non-linear least squares fitting to determine the periods, amplitudes and phases of rhythmic leaf movements. -
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Logi (Local Observations to Global Integration) transforms several local coordinate systems (composed of polar measurements) into a global spatial uniform network with respect to the Guide to the Expression of Uncertainty in Measurement (GUM).
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pure python polyfit
python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries
python2/3: compute polyfit (1D, 2D, N-D) without any thirdparty library like numpy, scipy etc. also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI -
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HEIMDALL
High-End Interface for Monitoring & spatial Data Analysis using L2Norm
...To observe objects (in general spatial points) continuous, HEIMDALL’s programmable logic arrays can be used to design monitoring systems. For data analysis an interface to the least-squares program JAG3D can be provided. The serial communication with e.g. inclination sensors, meteorological stations or total stations is handled by the library RXTX. If only a proprietary communication via dynamic-link library (dll are not shared by the project) is supported by the devices, JNA is resorted. Notice, HEIMDALL is not a stand-alone monitoring application. ... -
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Water Retention on Magic Squares Solver
Water Retention on Magic Squares with Constraint-Based Local Search
A Constraint-Based Local Search solver for the Water Retention on Magic Squares-problem. The problem is a very hard combinatorial optimisation problem, invented by Craig Knecht. More can be read about it at: http://en.wikipedia.org/wiki/Water_retention_on_mathematical_surfaces Craig's website for the problem: http://www.knechtmagicsquare.paulscomputing.com/ The solver is mainly based on the theory and ideas from my bachelor thesis, which I wrote at Uppsala University, Sweden, for the Astra Group which does research about Constraint Programming and related technologies: Water Retention on Magic Squares with Constraint-Based Local Search http://urn.kb.se/resolve?... -
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Currently, this is an development version of our C++ template-based implementation of Levenberg-Marquardt minimizer.
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Sake is a PHP implementation of Polynomial Least Squares Regression. The algorithm takes data points as input and returns the resulting polynomial. Graphs can be made using any plotting package. Sake provides the polynomial and will compute as many point
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