Search Results for "stream"

Fibonacci search for functions! Given a real-valued function of a non-negative integer with one minimum at i in {0, 1, 2, ..., n} and no local minima, efficiently locate that minimum in log (n) time.

This program is fundamentally a short-sized version of my mathSuite program: https://sourceforge.net/projects/mathsuite/ It includes all the functionalities of MSCenv (mathSuite Calculus Environment), such as inline variables and functions (mainly thanks to ExprEval), which you can use to perform expensive complex computations and store their results into runtime variables. You can perform also every Linear Algebra Operations included in mathSuite with new optimizations.

...Library can: 1) Create fractions from or 2 "long long", or double, or "long long". 2) Round. 3) Methematic operators +, -, *, /, +=, -=, *=, /=. 4) Logic operators <, >, ==, !=, <=, >=. 5) Operator %. 6) Pow and fast pow. 7) Module: |-a| = a, |b| = b. 8) Input / output stream. 9) Convert in double and string. And other...

It is often necessary to smooth high frequency fluctuations out of data streams sequenced by time, position, etc. The 'smooth' utility applies such smoothing using the wavelet algorithm. This implementation of wavelet smoothing was optimized for use in a data stream. It was adapted from HMMSeg Wavelet.Java by Thomas E. Wilson, University of Michigan. HMMSeg Wavelet.Java was written by Andrew Hemmaplardh, University of Washington. http://noble.gs.washington.edu/proj/hmmseg/ Unsupervised segmentation of continuous genomic data, Bioinformatics 2007 23:1424-1426 See the above references for a more thorough description of the principles behind wavelet smoothing.

It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data.

The Vector Stream library and tools allow store/load vectors (C-language raw array, not in C++ STL) to a stream (file) in a text format with an information about the vectors. This information attached to the file greatly reduces loading cost of the file.

Python module to track the overall median of a stream of values "on-line" in reasonably efficient fashion.

Auxiliary tools for Boost uBLAS library. Has several strategy-driven functors for: 1) random-generating of vectors & matrices 2) Nice & suitable stream output of them 3) Equality-compare capacibility for vectors and matrices and approximate comparing.

The NHD Software Project is a collection of the utilities, scripts, APIs, standards, and application extensions used for the quality assurance of stream and river data, conflation/generalisation of hydrographic data, and other hydrologic data maintenance.

Java Randomness Test Suite is a gui application to run randomness tests on random stream resource (file or algorithm). Application can be run in command line. Includes general statistical tests, NIST and DIEHARD tests.

This application is designed to solve problems of transshipment. This problem of the graph theory consists in finding a negative stream on the arcs which minimizes the total cost of the transport in a network R(V,E,b,c) where : - V = vertex - E

An RPN calculator design to manage well with stdin stream of number and operations