Optimizer_sovkov

by Vladimir Sovkov
Constructing and optimizing general mathematical models of various processes
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Updated 20 Nov 2025
Optimizer is a comprehensive package for constructing and optimizing general mathematical models of various processes. Written in MATLAB algorithmic language, it provides full functionality in MATLAB environment with partial support for GNU Octave.
KEY FEATURES: - Convenient visual interface with detailed documentation - Block-by-block construction of complex models - Library of elementary model blocks (published separately) - Modern optimization strategies for linear and non-linear models - Regularization methods and hypothesis testing - Parallel computing support
CAPABILITIES: - Flexible model construction at any complexity level - Reliable optimization algorithms - Extensive library of pre-built model components - Professional tools for model validation and analysis

Cite As

Sovkov, Vladimir, and Jie Ma. “Matlab Tool {QOptimizerq}: Construction and Optimization of Multi-Block Mathematical Models-Application to Spectroscopy Experiments with Ultracold Gases of Alkali Metals.” Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling, Atlantis Press, 2016, doi:10.2991/amsm-16.2016.83.

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MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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