Last Friday March 25th I attended the Princeton University Conference on Quant Trading.
One of the most interesting talks was the analysis of the role of computers in trading
Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market
The conclusion is that computers are becoming more and more prevalent and actually dominate the Forex market already.
Tuesday, March 29, 2011
Friday, March 25, 2011
Inverse Matrix by the Exchange Method
After some time off, here I am again.
Here is an interesting implementation of the inverse of a matrix that I found useful when I was developing a CUDA program. This is the most efficient method to implement the inverse of a matrix in terms of memory usage, which is handy when we want to put everything in the fast but limited shared memory.
The Mathematica code is here
InverseExchange.cdf
The cuda code is next
InverseExchange.cu
Here is an interesting implementation of the inverse of a matrix that I found useful when I was developing a CUDA program. This is the most efficient method to implement the inverse of a matrix in terms of memory usage, which is handy when we want to put everything in the fast but limited shared memory.
The Mathematica code is here
InverseExchange.cdf
The cuda code is next
InverseExchange.cu
Sunday, January 30, 2011
J. Math. Phys Most Downloaded Articles in August 2010
My paper about the connection between the Householder decomposition of unitary matrices and the canonical coset representation of unitary groups was the second most downloaded paper in August 2010
http://jmp.aip.org/features/most_downloaded?month=8&year=2010
http://jmp.aip.org/features/most_downloaded?month=8&year=2010
Monday, December 6, 2010
Ito Calculus with Tensorial
Here is a short example on how to use the Tensorial package for Ito calculus (stochastic calculus)
ito.pdf
ito.pdf
Sunday, December 5, 2010
MathLink example 4: Trace of a complex matrix
In this example, I introduce the ability to treat complex numbers.
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myTrace.c
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myTrace.tm
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Makefile
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myTrace.nb
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myTrace.c
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#include<stdio.h> #include<string.h> #include "mathlink.h" extern void myTrace( void ); void myTrace( void ) { int i,j,n; double *matrix; int *dims; char **heads; int rank; if( !MLGetReal64Array(stdlink,&matrix,&dims,&heads,&rank) ){ // unable to read data printf(" MLGetReal64Array error reading data \n"); }; n = dims[0]; double resum=0.; double imsum=0.; double sum[2]; int outdims[1]; char **outheads; int outrank = 1; for(i=0;i<n;i++){ resum = resum + matrix[2*i*n + 2*i]; imsum = imsum + matrix[2*i*n + 2*i + 1]; } MLReleaseReal64Array(stdlink,matrix,dims,heads,rank); MLPutFunction(stdlink,"Complex",2); MLPutFloat(stdlink,resum); MLPutFloat(stdlink,imsum); } #if WINDOWS_MATHLINK #if __BORLANDC__ #pragma argsused #endif int PASCAL WinMain( HINSTANCE hinstCurrent, HINSTANCE hinstPrevious, LPSTR lpszCmdLine, int nCmdShow) { char buff[512]; char FAR * buff_start = buff; char FAR * argv[32]; char FAR * FAR * argv_end = argv + 32; hinstPrevious = hinstPrevious; /* suppress warning */ if( !MLInitializeIcon( hinstCurrent, nCmdShow)) return 1; MLScanString( argv, &argv_end, &lpszCmdLine, &buff_start); return MLMain( (int)(argv_end - argv), argv); } #else int main(int argc, char* argv[]) { return MLMain(argc, argv); } #endif
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myTrace.tm
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:Begin: :Function: myTrace :Pattern: myTrace[ L_List] :Arguments: { L } :ArgumentTypes: { Manual } :ReturnType: Manual :End: :Evaluate: myTrace::usage = "myTrace[M] gives the trace of complex matrix M"
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Makefile
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MPREP = /usr/bin/mprep CXX = /usr/bin/c++ myTrace : myTracetm.c myTrace.c ${CXX} myTracetm.c myTrace.c -o myTrace -lML64i3 -lm -lpthread -lrt -lstdc++ myTracetm.c : myTrace.tm ${MPREP} myTrace.tm -o $@
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myTrace.nb
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link = Install["./myTrace"] (m = {{1., 2., 1.}, {2., 2., 2.}, {3., 3., 3.}} + I) // MatrixForm myTrace[m]
Saturday, December 4, 2010
MathLink example 3: Trace of a real matrix
In this example we calculate the trace of a matrix of floating point numbers (double type in C)
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myTrace.c
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myTrace.tm
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Makefile
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myTrace.c
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#include "mathlink.h" extern double myTrace( void ); double myTrace( void ) { int i,j,n; double *matrix; int *dims; char **heads; int rank; if( !MLGetReal64Array(stdlink,&matrix,&dims,&heads,&rank) ){ // unable to read data return 0.; }; n = dims[0]; double sum=0; for(i=0;i<n;i++) sum = sum + matrix[i*n+i]; MLReleaseReal64Array(stdlink,matrix,dims,heads,rank); return sum; } #if WINDOWS_MATHLINK #if __BORLANDC__ #pragma argsused #endif int PASCAL WinMain( HINSTANCE hinstCurrent, HINSTANCE hinstPrevious, LPSTR lpszCmdLine, int nCmdShow) { char buff[512]; char FAR * buff_start = buff; char FAR * argv[32]; char FAR * FAR * argv_end = argv + 32; hinstPrevious = hinstPrevious; /* suppress warning */ if( !MLInitializeIcon( hinstCurrent, nCmdShow)) return 1; MLScanString( argv, &argv_end, &lpszCmdLine, &buff_start); return MLMain( (int)(argv_end - argv), argv); } #else int main(int argc, char* argv[]) { return MLMain(argc, argv); } #endif
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myTrace.tm
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:Begin: :Function: myTrace :Pattern: myTrace[ L_List] :Arguments: { L } :ArgumentTypes: { Manual } :ReturnType: Real :End: :Evaluate: myTrace::usage = "myTrace[M] gives the trace of matrix M"
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Makefile
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MPREP = /usr/bin/mprep CXX = /usr/bin/c++ myTrace : myTracetm.c myTrace.c ${CXX} myTracetm.c myTrace.c -o myTrace -lML64i3 -lm -lpthread -lrt -lstdc++ myTracetm.c : myTrace.tm ${MPREP} myTrace.tm -o $@
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