8 Repos
Mathematical libraries for solving least-squares and nonlinear optimization problems.
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SciPy is a scientific computing library for Python that provides a comprehensive collection of mathematical algorithms and numerical tools for research and engineering. It functions as a high-performance numerical analysis framework, bridging high-level Python code with compiled C and Fortran routines to execute complex computations at hardware speeds. The library is built upon array-based data structures that utilize strided memory layouts to enable efficient data manipulation and slicing. By employing vectorized operation dispatch and linking to optimized hardware-specific linear algebra li
Python-based optimization functions for least-squares problems.
dlib is a C++ machine learning toolkit and data analysis framework. It provides a collection of algorithms and utilities for building predictive modeling applications and performing statistical analysis on large datasets within native C++ environments. The project functions as a binding library that wraps low-level C++ machine learning algorithms into high-level Python scripting interfaces. This allows for the integration of high-performance native implementations with Python for machine learning development. The framework covers the implementation of predictive models, the execution of mach
Toolkit providing functions for solving least-squares problems.
Ceres Solver ist eine C++-Bibliothek für numerische Optimierung, spezialisiert auf nichtlineare kleinste Quadrate und unbeschränkte Optimierungsprobleme. Sie dient als Framework für automatische Differenzierung und robuste Kurvenanpassung und bietet Tools zur Lösung mathematischer Modelle im großen Maßstab. Die Bibliothek zeichnet sich durch ihre Bundle-Adjustment-Funktionen aus, die spärliche Matrixstrukturen nutzen, um 3D-Szenenpunkte und Kameraparameter zu verfeinern. Sie verwendet dual-zahlbasierte automatische Differenzierung, um Ableitungen von Kostenfunktionen zu berechnen, wodurch die Notwendigkeit für manuelle Jacobian-Ableitung entfällt. Das Projekt deckt ein breites Spektrum an Optimierungsfunktionen ab, einschließlich Mannigfaltigkeits-Constraints für nicht-euklidische Räume, robuste Verlustfunktionen zur Minderung von Ausreißern sowie die Lösung dichter und spärlicher linearer Systeme. Es bietet zudem Dienstprogramme für die Konvertierung von Rotationsdarstellungen, tabellarische Dateninterpolation und Parameter-Kovarianzschätzung. Build-Konfigurationen sind für Android- und iOS-Ziele verfügbar, um die Optimierung mobiler Hardware zu unterstützen.
C++ library for large-scale nonlinear optimization problems.
Drake is a robotics simulation framework and control system modeling tool used for designing, simulating, and verifying the dynamics of complex robotic systems. It functions as a multibody dynamics simulator and a mathematical optimization library, providing a suite of algorithms for trajectory optimization and the simulation of articulated robots. The framework is distinguished by its block-diagram system for composing dynamical subsystems and its ability to formulate and solve diverse mathematical programs, including linear, quadratic, and nonconvex nonlinear problems. It supports specializ
Offers a toolkit for formulating and solving linear, quadratic, and nonlinear optimization problems for trajectory planning.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Library for factor graphs and optimization in robotics and vision.
g2o: A General Framework for Graph Optimization
Framework for optimizing graph-based nonlinear error functions.
Symbolic computation and nonlinear optimization for robotics.
LMfit-py
Python package extending optimization methods for least-squares.