F♯ for scientists /

"Developed in consultation with Don Syme of Microsoft Research Ltd.--who wrote the language--F♯ for Scientists explains and demonstrates the powerful features of this important new programming language. The book assumes no prior experience and guides the reader from the basics of computer progr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Harrop, Jon D.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, N.J. : John Wiley, ©2008.
Temas:
F♯ (Computer program language)
Functional programming (Computer science)
Science > Data processing.
Programmation fonctionnelle.
Sciences > Informatique.
COMPUTERS > Programming > Open Source.
COMPUTERS > Software Development & Engineering > Tools.
COMPUTERS > Software Development & Engineering > General.
Science > Data processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Introduction. Programming guidelines
  • A brief history of F♯
  • Benefits of F♯
  • Introducing F♯
  • Imperative programming
  • Functional programming
  • Program structure. Nesting
  • Factoring
  • Modules. Objects
  • Functional design patterns
  • F♯ development
  • Data structures. Algorithmic complexity
  • Arrays
  • Lists
  • Sets
  • Hash tables
  • Maps
  • Choosing a data structure
  • Sequences
  • Heterogeneous containers
  • Trees
  • Numerical Analysis. Number
  • Algebra
  • Interpolation
  • Quadratic solutions
  • Mean and variance
  • Other forms of arithmetic
  • Input and Output. Printing
  • Generic printing
  • Reading from and writing to files
  • Serialization
  • Lexing and parsing
  • Simple Examples. Functional
  • Numerical
  • String related
  • List related
  • Array related
  • Higher order functions
  • Visualization. Windows forms
  • Managed directX
  • Tesselating objects into triangles
  • Optimization. Timing
  • Profiling
  • Algorithmic optimizations
  • Lower level optimizations
  • Libraries. Loading .NET libraries
  • Charting and graphing
  • Threads
  • Random numbers
  • Regular expressions
  • Vectors and matrices
  • Downloading from the Web
  • Compression
  • Handling XML
  • Calling native libraries
  • Fourier transform
  • Metaprogramming
  • Databases. Protein data bank
  • Web services
  • Relational databases
  • Interoperability. Excel interoperability
  • MATLAB interoperability
  • Mathematica interoperability
  • Complete examples. Fast Fourier transform
  • Semicircle law
  • Finding nth nearest neighbors
  • Logistic map
  • Real time particle dynamics
  • Appendix A: Troubleshooting.

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