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The IEEE Standard for Floating-Point Arithmetic (IEEE 754) is a technical standard for floating-point computation. Read more.BSD 3 Clause. Copyright (c) 2008, Fair Oaks Labs, Inc.

https://github.com/feross/ieee754Tags | ieee-754 buffer convert floating-point ieee754 |

Implementation | Javascript |

License | Public |

Platform | OS-Independent |

A Long class for representing a 64 bit two's-complement integer value derived from the Closure Library for stand-alone use and extended with unsigned support. As of ECMA-262 5th Edition, "all the positive and negative integers whose magnitude is no greater than 253 are representable in the Number type", which is "representing the doubleprecision 64-bit format IEEE 754 values as specified in the IEEE Standard for Binary Floating-Point Arithmetic". The maximum safe integer in JavaScript is 253-1.

math long int64This is an ESLint configuration which aims to restrict you to a subset of JavaScript which would be as close to an idealised pure functional language as possible. The idea is to see if it's possible to banish all the Bad Parts (well, except for the single numeric type being IEEE 754 floating point) and leave a language without the design flaws which have plagued JS from the start, and which aren't easy to design out of the language without becoming a subset of itself. Please note that this rule set is meant for use only with ES6 or higher (and the ES7 object rest spread proposal helps a lot).

eslintDecimal floating point library in Java. Provides decimal floating point math for Java via a clean, easy to understand implementation. Much easier to use than Big Decimal, nearly IEEE-854 compliant. Compatible with J2ME, so it can be used on PDAs/phon

Your language isn't broken, it's doing floating point math. Computers can only natively store integers, so they need some way of representing decimal numbers. This representation comes with some degree of inaccuracy. That's why, more often than not, .1 + .2 != .3. Why does this happen? It's actually pretty simple. When you have a base 10 system (like ours), it can only express fractions that use a prime factor of the base. The prime factors of 10 are 2 and 5. So 1/2, 1/4, 1/5, 1/8, and 1/10 can all be expressed cleanly because the denominators all use prime factors of 10. In contrast, 1/3, 1/6, and 1/7 are all repeating decimals because their denominators use a prime factor of 3 or 7. In binary (or base 2), the only prime factor is 2. So you can only express fractions cleanly which only contain 2 as a prime factor. In binary, 1/2, 1/4, 1/8 would all be expressed cleanly as decimals. While, 1/5 or 1/10 would be repeating decimals. So 0.1 and 0.2 (1/10 and 1/5) while clean decimals in a base 10 system, are repeating decimals in the base 2 system the computer is operating in. When you do math on these repeating decimals, you end up with leftovers which carry over when you convert the computer's base 2 (binary) number into a more human readable base 10 number.

Web pages with an introduction to floating point quot;arithmeticquot;. FAQ's on floating point. Code for handling floating point exceptions on 80x86 machines. Info on a few aspects of floating point, the Linux 80x86 FPU emulator, etc.

The GNU Scientific Library (GSL) is a numerical library for C and C++ programmers. The library provides a wide range of mathematical routines such as random number generators, special functions and least-squares fitting. There are over 1000 functions in total with an extensive test suite.

math mathematics numerical scientific algorithms random-number[1] Raúl Mur-Artal, J. M. M. Montiel and Juan D. Tardós. ORB-SLAM: A Versatile and Accurate Monocular SLAM System. IEEE > Transactions on Robotics, vol. 31, no. 5, pp. 1147-1163, 2015. (2015 IEEE Transactions on Robotics Best Paper Award). PDF. [2] Dorian Gálvez-López and Juan D. Tardós. Bags of Binary Words for Fast Place Recognition in Image Sequences. IEEE > Transactions on Robotics, vol. 28, no. 5, pp. 1188-1197, 2012. PDF. D. Nister, “An efficient solution to the five-point relative pose problem,” Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 26, no. 6, pp. 756–770, 2004.

slam ros computervision reconstruction point-cloud learning booksHerbie synthesizes floating-point programs from real-number programs, automatically handling simple numerical instabilities. Visit our website for tutorials, documentation, and an online demo.Herbie can improve the accuracy of many real-world programs, and is used by scientists in many disciplines. It has lead to two patches (for complex square roots and trigonometric functions), in math.js an open-source mathematics library. Herbie has semi-regular releases twice a year, maintains backwards compatibility, and uses standardized formats.

herbie racket floating-point numerical-methods developer-tools synthesisCUTLASS 1.0 is a collection of CUDA C++ template abstractions for implementing high-performance matrix-multiplication (GEMM) at all levels and scales within CUDA. It incorporates strategies for hierarchical decomposition and data movement similar to those used to implement cuBLAS. CUTLASS decomposes these "moving parts" into reusable, modular software components abstracted by C++ template classes. These thread-wide, warp-wide, block-wide, and device-wide primitives can be specialized and tuned via custom tiling sizes, data types, and other algorithmic policy. The resulting flexibility simplifies their use as building blocks within custom kernels and applications. To support a wide variety of applications, CUTLASS provides extensive support for mixed-precision computations, providing specialized data-movement and multiply-accumulate abstractions for 8-bit integer, half-precision floating point (FP16), single-precision floating point (FP32), and double-precision floating point (FP64) types. Furthermore, CUTLASS demonstrates CUDA's WMMA API for targeting the programmable, high-throughput Tensor Cores provided by NVIDIA's Volta architecture and beyond.

A Python library for arbitrary-precision floating-point arithmetic. Numerous other people have contributed by reporting bugs, requesting new features, or suggesting improvements to the documentation.

arbitrary-precision multiprecision floating-point special-functions numerical-integration numerical-methods plotting complex-numbers ordinary-differential-equations numerical-optimizationA simple rating view for iOS written in Swift! Supports whole, half or floating point values. I couldn't find anything that easily set floating point ratings, so I made this control based on a Ray Wenderlich tutorial. Some of the best iOS tutorials that I've come across. Initialize from a nib/xib or programmatically. Set the empty and full image, then you're pretty much good to go! Check out the demo app to see how it can be used.

See WebAssembly.js.org for more information. Some packages rely on Node's Buffer which isn't available in other environments. We recommend you to add https://github.com/feross/buffer in your building process.

webassembly interpreter ast compiler parser polyfill wasm wastProvides functions to convert quantity strings into appropriately scaled floating point numbers. Useful to Tcl/SWIG/C/C++ application developers who wish to permit users to enter quantities with units, such as quot;20 miles/hourquot; or quot;200pFquot;.

libhdlfltp is a VHDL library of floating point operators, all of which are parametrized, synthesizable to FPGAs and cover a number of the core operators in math.h.

It is generally not wise to compare two floating-point values for exact equality, for example using the C == operator. The fcmp package implements Knuth's suggestions for safer floating-point comparison operators as a C function.

CRAFT for HPC (High-Performance Computing) uses binary instrumentation to perform runtime analysis of floating-point code, detecting cancellations and making precision level recommendations.

128-bit floating point library with 64 effective bits of precision (vs. 53 for the built-in Double type) and a 64 bit exponent (vs. 11 for Doubles). Greater range avoids under/overflows and makes log arithmetic unnecessary.

Comparison of floating point values in SQL Server not always gives the expected result. With this function, comparison is only done on the first 15 significant digits. Since SQL Server only garantees a precision of 15 digits for float datatypes, this is expected to be se...

compare comparing comparison database float function sqlPex Custom Arithmetic Solver contains a collection of meta-heuristic search algorithms. The goal is to improve Pex's code coverage for code involving floating point variables. The project is based on the PexArithmeticSolverAttributeBase. The project has been evaluated in a ...

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