Harrop, Jon D. <br/><br/>
F# for scientists / 
Jon Harrop ; foreword by Don Syme. 
 - Hoboken, N.J. :  John Wiley,  c2008 
 - xxxiv, 334 p. :  ill. ;  25 cm. 
<br/><br/> Includes bibliographical references (p. 325-327) and index 
<br/><br/>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 
<br/><br/><label>ISBN: </label>0470242116 (cloth) 9780470242117 (cloth) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>FÄ (Computer program language)<br/>Functional programming (Computer science)<br/>Science--Data processing