دانلود کتاب Julia: A Fresh Approach to Numerical Computing

فهرست مطالب :

1 Scientific computing languages: The Julia innovation 1.1 Computing transcends communities 1.2 Julia architecture and language design philosophy 2 A taste of Julia 2.1 A brief tour 2.2 An invaluable tool for numerical integrity 2.3 The Julia community 3 Writing programs with and without types 3.1 The balance between human and the computer 3.2 Julia's recognizable types 3.3 User's own types are first class too 3.4 Vectorization: Key Strengths and Serious Weaknesses 3.5 Type inference rescues ``for loops" and so much more 4 Code selection: Run the right code at the right time 4.1 Multiple Dispatch 4.2 Code selection from bits to matrices 4.2.1 Summing Numbers: Floats and Ints 4.2.2 Summing Matrices: Dense and Sparse 4.3 The many levels of code selection 4.4 Is ``code selection" just traditional object oriented programming? 4.5 Quantifying the use of multiple dispatch 4.6 Case Study for Numerical Computing 4.6.1 Determinant: Simple Single Dispatch 4.6.2 A Symmetric Arrow Matrix Type 5 Leveraging language design for high performance libraries 5.1 Integer arithmetic 5.2 A powerful approach to linear algebra 5.2.1 Matrix factorizations 5.2.2 User-extensible wrappers for BLAS and LAPACK 5.3 High Performance Polynomials and Special Functions with Macros 5.4 Easy and flexible parallelism 5.5 Performance Recap 6 Conclusion and Acknowledgments