Symbolic computation of Caudrey–Dodd–Gibbon equation subject to periodic trigonometric and hyperbolic symmetriesThe nonlinear evolution equations have been being continuously traced out to have remarkable progress and innovative applications by mathematicians and physicists. In this context, the comparison of...
For example, in symbolic computation, AI, and machine learning, generalized lists are used to store and process complex mathematical expressions and data structures. 正如《深入理解计算机系统》中所说:“一个好的数据结构能够高效地支持多种操作。”广义表正是这样一种灵活、高效的数据结构。 As stated in ...
---以上的这个思路归在计算机代数 (computer algebra)[6]又叫符号计算 (symbolic computation) 这个领域...
A Numerical Library in C for Scientists and Engineers (Symbolic & Numeric Computation) This extensive library of computer programs-written in C language-allows readers to solve numerical problems in areas of linear algebra, ordinary and partial differential equations, optimization, parameter estimation, ...
Higher Order & Symbolic ComputationContinuation-passing C, compiling threads to events through continuations - Kerneis, Chroboczek - 2011 () Citation Context ...er, event-loop programming splits the flow of control of a program into small pieces, which leads to code that is difficult to write...
The symbol has hidden linker scoping. Hidden linker scoping is more restrictive than symbolic and global linker scoping. All references within a dynamic module bind to a definition within that module. The symbol will not be visible outside of the module. An...
Themainideaistoshowtheapplicationofsymboliccomputationsinanalysisofengineeringsystems withrandomparameters.Thegeneralcomputationalmethodologyisbasedonthestochasticsecond orderperturbationmethodanditsimplementationinthemathematicalpackageMAPLE6.Theentire approachisdisplayedontheexampleofsimplesingledegreeoffreedomdynamicalsystemwith...
Most C preprocessor features are inactive unless you give specific commands to request their use. (Preprocessor commands are lines starting with`#'; see sectionPreprocessor Commands). But there are three transformations that the preprocessor always makes on all the input it receives, even in the ab...
Evolving Objects - A template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. [LGPL] frugally-deep - Header-only library for using Keras models in C++. [MIT] Genann - Simple neural network library in C. [zlib...
In particular, a floating-point computation cannot be replaced by one that produces different results with rounding modes held constant at runtime. -fsimple=2 Includes all the functionality of -fsimple=1 and also enables use of SIMD instructions to compute reductions when -xvector=simd is in...