Data-driven decision making under uncertainty using matrices
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Updated
Nov 15, 2024 - Julia
Data-driven decision making under uncertainty using matrices
Decomposition Strategies for Vehicle Routing Heuristics
Triangulation and convex decomposition of polygonal meshes
Robot Motion Planning via Decomposition and Search
Eigenfaces is an approach to facial recognition based on the overall appearance of a face, not on its particular details. By means of technique that can intercept and reshape the variance present in the image, the reshaped information is treated like the DNA of a face, thus allowing recovery of similar faces (because they have similar variances)…
A Jupyter notebooks guide to handle optimization algorithms, for engineers & students
Heidari, A.A.; Akhoondzadeh, M.; Chen, H. A Wavelet PM2.5 Prediction System Using Optimized Kernel Extreme Learning with Boruta-XGBoost Feature Selection. Mathematics 2022, 10, 3566. https://doi.org/10.3390/math10193566
reading SMPS files in Python (A Python package for reading SMPS files using GUROBI optimizer objects)
Seto is a library for the decomposition of Transition Systems into subsets of Petri nets, in particular State Machines and Free-choice Petri nets.
C++ template project provides a flexible way to work with polynomials and calculate their real roots.
Unsupervised-ML---PCA-Data-Mining-Univ. Import Dataset, Converting data to numpy array, Normalizing the numerical data, Applying PCA Fit Transform to dataset, PCA Components matrix or covariance Matrix, Variance of each PCA, Final Dataframe, Visualization of PCAs, Eigen vector and eigen values for a given matrix.
Project : Polar Decomposition
Approach to decomposing monolithic applications into microservices
A simple exploration into why cache and vectorisation matter (more than just big O)
Seminar task from college subject SQL Practicum. App that finds primary key candidates and handles database normalization - decomposition to Third Normal Form and Boyce-Codd normal form. 🔑
Explore the phenome ✨🎆✨
Лабораторные и курсовые работы по дисциплине "Вычислительная математика. Численные методы алгебры."
Genomic decomposition and reconstruction of non-tumor diploid subclones
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