Search Results for "delphi inverse matrix"
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Showing 13 open source projects for "delphi inverse matrix"
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Delphi : VRCalc++ OOSL (Script) and more
Delphi : VRCalc++ OOSL & + (Paged List, TextEditor, VRAstroVision ...)
Vincent Radio {Adrix.NT} Sources Library & Applications : Delphi C++ Java VRCalc++ C# VRCalc++ Object Oriented Scripting Language - Engine Source Pascal Code - Delphi Packages Build Prjs - VRCalc++ Scripted System Std RT Library - Guides & Docs (CHM, PDF, DOCX) - VCL & FMX (FireMonkey) Support - Script Test Code (Lang RTL VCL FMX) - Visual Stage Project : VCL & FMX Paged Lists & Iterators : Delphi C++ Java C# Multi-Dim Arrays & Direct Graph Classes : Delphi C++ Java VRCalc++... -
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Pascal libraries and components. Library for: Matrix, Matrix Math, Math & statistic, CSV, URL, Counters, dir/file scanning, file/string/… utils, progress bar, … Components: DataList, Line oriented reports, Gauge, Syllable (Italian), …
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MatrixMath
A simple matrix library for delphi/pascal
A simple matrix library implementation. It allows an user to do basic stuff and also matrix based cryptography (viz Hill Cipher) implementations. -
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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matrix.h
Some basic matrix algorithms implemented in C
This is a collection of some matrix algorithms like matrix inverse, LU decomposition, Gauss elimination, matrix multiplication, matrix pow, matrix add, matrix subtract etc. This package also contains debugging information for the above algorithms -
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analyzematrix
Command line tool for reporting details on a given matrix
analyzematrix is a command line tool for learning detailed information about a matrix including its inverse, determinant, eigenvalues, eigenvectors, and singular value decomposition. -
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
...Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... And some auxiliary features like random number generators, equation solution, numerical integration, permutation/combination and gcd/lcm etc. It is aimed to be a convenient and handy toolkit to check out your ideas. -
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HASEM
Matrix c++ library solving any linear algebra problems
...With over 200 member functions and over 40 none member functions HASEM is almost able to solve any linear algebra problems. HASEM support multidimensional as well, you can mix up your multidimensional matrix with other matrices with different size, and apply all operations on them as well.It's possible to save the computed matrix into files, and when required read it from files and load the data into matrices. It is also very easy to add your extension to HASEM. -
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IceTagCloud
IceTagCloud is a tag-cloud component for Delphi
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VMatrixLib is a little, handy, Java matrix library which implements a set of utility functions (such as calculus of the determinant of a matrix, calculus of the rank, inverse matrix, and many others..) that anyone who have to use matrices needs.
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OneOMath is a C# library, for Mathematical Calculations. At this time, it can be used for working with matrices.
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VcorpLCD deriva dalla versione di LCDSmartie 5.3.2, ovviamente in italiano e come molte migliorie aggiunte e bug corretti. Supporto SSL, gestione dei plugin, Controller HD44780(Parallelo), KS0073(Parallelo), Matrix Orbital(seriale), CrystalFontz(seriale)
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Slate++ is a vector/matrix package for C++. Based on templates, Slate++ facilitates basic linear algebra (+, -, *, /, inverse, determinant, ...) on many data types (int, float, double, complex...). Simple to use and thoroughly documented.
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