Search Results for "notes"

...It acts as a centralized archive where learners can access high-quality past solutions as references, borrow formatting for their own reports, and study algorithmic strategies that performed well in contests. The repository is structured by topic and resource type so that users can more easily find templates, solved problems, and methodological notes. It also includes auxiliary educational materials like references, recommended textbooks, and guidebooks on mathematical modeling theory.

...The repository is organized by year, with per-year folders that collect the top-ranked reports and, in later years, additional materials such as problem statements or problem notes when available. It has evolved from a single-maintainer project into a collaborative effort, with different contributors stewarding successive year ranges so the collection stays current. The contents skew toward MATLAB and LaTeX, reflecting the tools most winning teams use to build models and typeset their reports; you’ll typically see complete write-ups alongside code that implements optimization, simulation, statistical analysis, or other modeling pipelines.

...The GMAT development team is pleased to announce the release of GMAT version R2026a. For a complete list of new features, compatibility changes, and bug fixes, see the R2026a Release Notes in the Users Guide.

The Coding-Guide repository is a personal repository of coding guidelines, developer notes, learning resources, and documentation spanning topics from front-end to full-stack, coding practices, and software development tips. The repository appears to be maintained by “ecmadao” and intended as a reference/knowledge base of best practices, notes, style conventions, and reminders. The content is typically documentation, markdown files, code snippets, and tutorials, rather than a coherent, packaged software tool. ...

Mathematics is a comprehensive collection of notes, resources, and references spanning a wide range of mathematical topics. The repository organizes material across pure and applied mathematics, including calculus, linear algebra, probability, statistics, and optimization. It also extends into computational and algorithmic applications of mathematics, making it a useful reference for both academic study and practical problem-solving.

CourseraMachineLearning is a personal collection of resources, notes, and programming exercises from Andrew Ng’s popular Machine Learning course on Coursera. It consolidates lecture references, programming tutorials, test cases, and supporting materials into one repository for easier review and practice. The project highlights fundamental machine learning concepts such as hypothesis functions, cost functions, gradient descent, bias-variance tradeoffs, and regression models.

The collection MICROMECHANICS (micromechanics.zip) includes: (1) lecture notes (microbook.pdf) on the analysis of heterogeneous materials and homogenization, and (2) source codes (microcode.tar.bz2) that accompany the computational exercises in Part II of the notes. Instructions on using the codes are given in the README file of each exercise. Further instructions can be found in the file microcode.tar.bz2.