Code-It-Yourself 3D Graphics Engine - Triangles and Projection - Part 1
Learn to build a 3D graphics engine from scratch, covering triangles, projection matrices, and basic rotation. Gain hands-on experience in creating a rotating cube using fundamental 3D graphics concepts.
Everything You Need to Know About Tensors in Deep Learning With PyTorch
Comprehensive guide to PyTorch tensors: creation, operations, data types, and GPU usage. Hands-on examples cover essential concepts for deep learning beginners.
Secure Outsourced Matrix Computation and Application to Neural Networks
Explore practical solutions for encrypted matrix operations in homomorphic encryption, including novel encoding methods and efficient evaluation strategies for basic matrix arithmetic and neural networks.
Faster Parallel Algorithms for Basic Linear Algebra Problems
Explore advanced parallel algorithms for fundamental linear algebra, enhancing computational efficiency in mathematical problem-solving.
Introduction to Unity.Mathematics
Explore Unity.Mathematics for game development: efficient matrix operations, rotations, and DOTS integration. Learn to solve common math problems and optimize performance.
Building Finite-Element Matrix Expressions with Boost Proto and the Eigen Library
Learn to integrate Eigen with Boost Proto for finite-element matrix expressions, including user-defined functions and external libraries in domain-specific languages.
Linear Algebra for the Standard C++ Library
Exploring a proposal to add linear algebra components to the C++ standard library, covering design, rationale, and implementation details for matrices, vectors, and related operations.
How to Read Code
Discover techniques for effectively reading and understanding code, enhancing your ability to write better software and become a more proficient programmer.
Animating Angular
Explore Angular animation techniques, from basic CSS transitions to advanced JavaScript sequences, enhancing your web applications with dynamic and engaging user interfaces.
2D Sprite Affine Transformations - Rotation, Translation, Scaling, and Shearing
Learn to transform 2D sprites using matrices for rotation, translation, scaling, and shearing. Implement these techniques in a practical programming context.
Physics Python Warm Up Questions Using Numpy
Master Python for physics: import libraries, create arrays, plot data, manipulate matrices, calculate eigenvalues, and handle complex data structures.
Julia Community Reshapes Computation in Geosciences
Explore Julia's impact on geosciences: ecosystem tools, hardware acceleration, and collaborative initiatives revolutionizing Earth observation and software development in the field.
Code-It-Yourself 3D Graphics Engine - Cameras and Clipping - Part 3
Explore 3D graphics engine development, focusing on camera implementation, clipping planes, and matrix operations. Learn to create immersive visual experiences through practical coding techniques.
Vectorization Techniques for 1000x Python Speedups - No C or Spark Required
Discover techniques for achieving 1000x speedups in Python through vectorization, matrix operations, and creative optimization strategies. Learn to apply these methods to complex financial and ESG computations.
Solving the Square Well with a Bump Using Python and NumPy - Eigenvalue Problem
Solve the infinite square well with a bump potential using Python and NumPy. Learn finite difference method, matrix construction, and eigenvalue problem solving for quantum mechanics.
Is C++23 std::mdspan a Zero-overhead Abstraction? - Lecture
Explore C++23 std::mdspan's efficiency as a zero-overhead abstraction for multi-dimensional arrays through matrix and image operations, comparing assembly output to low-level implementations.
Linear Algebra Coming to Standard C++ - std::linalg
Explore std::linalg, a new C++ library for efficient linear algebra computations using modern C++ idioms. Learn its benefits, implementation, and potential impact on C++ development.
Compile-Time Sparse Matrices - Optimizing Memory and Performance
Explore compile-time sparse matrices for efficient memory use and performance in C++ linear algebra. Learn to incorporate sparseness information, reduce storage, and optimize operations automatically.
Facilitating Electronic Structure Computations on GPU-based Exascale Platforms
Explore GPU-based electronic structure computations for exascale platforms using PROGRESS and BML libraries. Learn implementation strategies, performance optimization, and scaling techniques.
Number of Islands - LeetCode Problem Solution
Master the Number of Islands algorithm using C++ through a detailed graph-based solution approach to this popular LeetCode programming challenge.
Solving 50 Python NumPy Problems - From Easy to Difficult
Master NumPy fundamentals through 50 hands-on coding exercises, progressing from basic array operations to advanced matrix manipulations, data types, and mathematical computations.