Search Results for "compile"

...It supports reverse-mode differentiation (a.k.a. backpropagation) via grad as well as forward-mode differentiation, and the two can be composed arbitrarily to any order. What’s new is that JAX uses XLA to compile and run your NumPy programs on GPUs and TPUs. Compilation happens under the hood by default, with library calls getting just-in-time compiled and executed. But JAX also lets you just-in-time compile your own Python functions into XLA-optimized kernels using a one-function API, jit. Compilation and automatic differentiation can be composed arbitrarily, so you can express sophisticated algorithms and get maximal performance without leaving Python.

...Get Gonum if you want code to be fully transparent, and want the ability to read the source code you use. It is useful if you’d like a compiler to catch mistakes early, but hate fighting linker and unintelligible compile errors.

...The coverage spans undergraduate and early graduate topics, designed to show how different areas of math fit together—linear algebra, analysis, topology, number theory, and more—without going deeply into every subtopic. Because it is written in LaTeX (with supporting Asymptote or other tools), readers can compile their own version, and the repository integrates diagrams, flowcharts, and supplementary files.

...Automatic differentiation means the user does not need to define the analytic expressions for all the various partial derivatives. It also means that those complex expressions are essentially calculated at compile time, and merely evaluated at runtime. First order derivatives only, forward accumulation. Choose "files" and either the "initial_submission" directory for the Ada version, or the other directory "cpp_AD" for the C++ version.

...Both implementations are SparsePOP which does not use MATLAB, but only C++. In particular, SparsePOPC++-windows contains a binary file which works on Windows, and does not require to compile.

...Implementations are carefully tuned to leverage SIMD instruction sets such as SSE and NEON while preserving a clean fallback path for portability. Because types are fixed at compile time, the compiler can aggressively inline and unroll code, producing predictable performance and tiny binaries. The design emphasizes minimal dependencies and clear ownership so the library can be embedded into engines without dragging in heavyweight frameworks. It fits equally well in rendering math, physics helpers, animation blending, and camera control logic where determinism and speed matter.

...To this moment, only signed-integer and unsigned-integer are completed for little-endain architecture. Any compiler that support c++03 or c++11 can successfully compile MathX. Refer to README for more information.

...The library is smaller than 57 Kbytes, suitable for hand held devices. The size is only 3.7% of the size of the BPC library. Maximum supported group size is 911 bits. It is easy to compile the library for Android, ARM or x86 CPU. The API of the library is compatible with the PBC library. It is easy for the PBC library users to port their programs to this library, only with little modification.

ViennaMath provides a symbolic math kernel which can be used either for compile-time processing, or for run-time evaluation. Unlike other symbolic math implementations, ViennaMath aims at providing a fast math layer for use with numerical methods such as the finite element method (cf. ViennaFEM)

PortableLatex is LaTeX without installation; you download and use it straight away, without changing a byte of your system. Plus a complete suite of apps to comfortably edit, view, compile and handle latex or tex projects, glued by some scripting.

Experimental C++ library for performing optimized fixed-point operations using types of differing sizes and precisions. Requires C++0x extensions.

EngLab is a cross-compile mathematical platform with a C like syntax to be used by both engineers and users with small programming knowledge. It also enables the user and community to easily compile their own functions as shared objects.

A quick and simple solver for 2x2 equation's system using Gauss-Jordan algorithm. Written in C++.

The aim of this project is to create a series of User Defined Functions, for MySQL servers. (Formerly known as MySQL/Scientific)

Provides a C++ type-safe mechanism to deal with various units of measure. It prevents many units-related run-time errors (such as mistakenly mixing feet and meters) by catching them at compile time. The library includes scalar, 2D, and 3D vectors.

This Tiny Vector and Matrix template library uses Meta and Expression Templates to evaluate results at compile time, thus making it fast for low-end systems. Temporaries are avoided because of this. The dimensions are static and bounded at compile time.

Psi is a library of arbitrary dimensional C++ arrays. Easily customised without rewriting or copying. Dimensions can be specified at compile time or at run time. Psi arrays are proper objects and include arithmetic operations etc. Boost License.

Console based application which should compile on any system supporting c++. Includes calculations like blood alcohol content, 1/4 mile run, liter conversion, etc.