Search Results for "matlab optimization toolbox"
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Showing 2 open source projects for "matlab optimization toolbox"
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Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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All-in-One Behavioral Health EHR SoftwareOpus is a comprehensive EHR, CRM, and RCM platform designed to streamline operations for behavioral health treatment centers, including addiction, mental health, and SUD (substance use disorder) clinics. The platform provides integrated tools for patient management, billing, scheduling, and telehealth services. Opus enhances efficiency with features like intelligent lead routing, insurance verification, automated tasks, and customizable forms. It also includes advanced reporting, AI-driven progress note generation, and seamless lab integrations. With a focus on flexibility and scalability, Opus is ideal for small to large multi-center organizations in the behavioral health space.
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ACADO Toolkit
Toolkit for Automatic Control and Dynamic Optimization
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization. ACADO Toolkit is implemented as self-contained C++ code and comes along with user-friendly MATLAB interface. The object-oriented design allows for convenient coupling of existing optimization packages and for extending it with user-written optimization routines. -
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T3S Tool
Learning Stochastic Discrete Event Systems
Stochastic discrete event system analysis and verification are essential in order to ensure reliability in such systems. However, models that cannot be constructed with an hand-made process need to be learned. Thus, the SDES toolbox proposes an automated solution that is embedded in Matlab to learning and analisis generalized semi-Markov processes.
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