problems Vector - Moozonian

GitHub Repo https://github.com/The-Marcy-Lab-School/oo-review-vectors

The-Marcy-Lab-School/oo-review-vectors

OO Review Problem: Build a Vector type

GitHub Repo https://github.com/1robertslattery/GeometricTestLibrary

1robertslattery/GeometricTestLibrary

Solves 2D and 3D math problems, including, closest point, intersection, line of sight, and reflection vector:

GitHub Repo https://github.com/Darkziyu/Mathd

Darkziyu/Mathd

The double type version of the Unity struct Vector,Quaternion and Matrix.It can solve the problem that the float type may not be accurate enough.

GitHub Repo https://github.com/mgabay/Variable-Size-Vector-Bin-Packing

mgabay/Variable-Size-Vector-Bin-Packing

Heuristics and results for the variable size vector bin packing problem.

GitHub Repo https://github.com/minireference/sympy_tutorial

minireference/sympy_tutorial

A tutorial that shows the powerful capabilities of the computer algebra system SymPy for solving problems of high school math, calculus, mechanics, vectors, and linear algebra problems.

GitHub Repo https://github.com/mtanveer1/NeuroFuzzy-RVFL

mtanveer1/NeuroFuzzy-RVFL

Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems

GitHub Repo https://github.com/Jutho/KrylovKit.jl

Jutho/KrylovKit.jl

Krylov methods for linear problems, eigenvalues, singular values and matrix functions

GitHub Repo https://github.com/jingedawang/AlignmentExample

jingedawang/AlignmentExample

A series of examples showing how to solve the alignment problems in vectorization.

GitHub Repo https://github.com/zarathustr/FLAE

zarathustr/FLAE

Fast Linear Quaternion Attitude Estimator (FLAE) Using Vector Observations for Wahba's Problem

GitHub Repo https://github.com/JJJerome/mbt_gym

mbt_gym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-frequency trading problems such as market-making and optimal execution. The module is set up in an extensible way to allow the combination of different aspects of different models. It supports highly efficient implementations of vectorized environments to allow faster training of RL agents.