An environment for MODular construction of OPTimization algorithms
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Updated
Jun 12, 2024 - Python
An environment for MODular construction of OPTimization algorithms
Portfolio optimization and back-testing.
A next-gen solver for optimization with nonconvex objective and constraints. Reimplements filterSQP and IPOPT (barrier) in a modern and generic way, and unlocks a variety of novel methods. Competitive against filterSQP, IPOPT, SNOPT, MINOS and CONOPT.
Blockwise Direct Search
Making your benchmark of optimization algorithms simple and open
💎A site, that contains systematic optimization methods and theory review
Code of ICLR'24 paper NeuralCGMM: Neural Control System for Continuous Glucose Monitoring and Maintenance
Here you find my custom profile. Believe me I am a M.Sc. Mechanical Engineer
Slides, exercises and resources for the 2023-2024 course "High Performance Computing" under the "Scientific and Data-Intensive Computing" Naster Program at University of Trieste
Scalable Computation of Hessian Diagonals
This configuration file includes some common settings to optimize MySQL or MariaDB performance, such as the innodb_buffer_pool_size, query_cache_size, and wait_timeout parameters.
Python trust-region subproblem solvers for nonlinear optimization
Multidimensional optimization methods with using derivative of the objective function
Explore Optimization
Slides, exercises and resources for the 2023-2024 course "Advanced High Performance Computing" under the at "Scientific and Data-Intensive Computing" Master Program at University of Trieste
A solver for mixed-integer nonlinear optimization problems
Методы оптимизации для нахождения минимума функции
ET is a Batch/PowerShell GUI script to improve performance, debloat, optimize and enhance privacy for Windows 10/11.
Vector Embeddings for Quantum Mechanics
JUlia augMENted ε-consTraint Optimisation (Jumento) - A package with AUGMECON and AUGMECON 2
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