文件列表:

celp (0, 2007-02-14)
celp\cpapply.m (263, 2007-02-14)
celp\cpbind.m (758, 2007-02-14)
celp\cpeval.m (576, 2007-02-14)
celp\cpfilter.m (613, 2007-01-31)
celp\cpif.m (1036, 2007-01-28)
celp\cpmap.c (1416, 2007-01-31)
celp\cpmap.dll (6656, 2007-02-14)
celp\cpmap.m (1062, 2007-02-14)
celp\cpreduce.c (595, 2006-02-08)
celp\cpreduce.dll (6144, 2007-02-14)
celp\cpreduce.m (609, 2007-02-14)

CELP 1.1, Jan 2007 by Yuri Gribov (Moscow, Russia) Requires: Matlab 7.1 Feature requests, bug reports and comments are welcomed at tetra2005@mail.ru Description ----------- CELP (CELl Processing) is a functional programming package for Matlab. It is often better to use FP instead of loops: - it's more compact; - it's more clear. Matlab has all prerequisites to implement a Lisp-like FP: - anonymous functions, @'s <-> lambdas; - FEVAL <-> FUNCALL, EVAL, APPLY; - cell arrays <-> lists. Matlab has also several peculiarities: - cell arrays may have arbitrary dimensions (not only 1d); - functions may have several outputs (btw you can use builtin DEAL to implement it in @'s); - vectors can be converted to cells and back using NUM2CELL and CELL2MAT. Currently the package includes CPAPPLY Analogue of Lisp's APPLY CPBIND Substitution of argument CPEVAL Evaluate multioutput function and return outputs in one cell array CPFILTER Analogue of Lisp's FILTER CPIF Conditional composition of functions CPMAP Analogue of Lisp's MAPCAR CPREDUCE Analogue of Lisp's REDUCE (use 'help *' for more info and examples). CPFILTER, CPMAP, CPREDUCE are equivalents of Lisp's routines. The latter two are implemented in MEXs for speed. CPIF and CPBIND are used for construction of new functions from defined. They are implemented with the help of nested functions. CPAPPLY, CPEVAL deal with multioutput functions. One general limitation of M-language is that when you write f(g(x)) only one output of g(x) is substituted into f. Thus you need to use [y,z] = g(x); f(y,z) to substitute all outputs. Using CELP's functions you may code it as cpapply(@f,cpeval(2,@g,x)) The main disadvantage of CELP is speed - evaluation of anonymous functions can be quite slow. Thus I do not recommend to use CELP with @'s in intensive calculations (probably Nathan Thern's TMP_HANDLE may be of help here - search for it on FEX). Changelog --------- Ver. 1.1, Jan 2007 Corrections in help Removed CPREP (see 'help cpmap'), CPCOMP Changed signature of CPBIND Extended CPBIND to allow function substitution Extended CPIF to allow non-function arguments

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