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Showing 23 open source projects for "complex"
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Pythonic Data Structures and Algorithms
Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on... -
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Dlib is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.
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PythagorasTheoremGeneralizer
Pythagoras Theorem Generalizer
...Pythagoras Theorem when a < 0.0 and b >= 0.0 : c^2 = a^2 + b^2 * (((a*a + b*b)^0.5 - b)^2.0/(b - (a*a + b*b)^0.5)^2.0) c^2 = a^2 + b^2 * (((a*a + b*b)^0.5 - b)^2.0/(b - (a*a + b*b)^0.5)^2.0) * 1.0 c^2 = a^2 + b^2 * (((a*a + b*b)^0.5 - b)^2.0/(b - (a*a + b*b)^0.5)^2.0) * (-1.0 / -1.0) c^2 = a^2 + b^2 * (((((a*a + b*b)^0.5)*i - b*i)^2.0)/(b*i - (((a*a + b*b)^0.5)^2.0)*i)) Pythagoras's Theorem with negative numbers : For a < 0 and b >= 0 : c^2 = a^2 + b^2 * (((((a*a + b*b)^0.5)*i - b*i)^2.0)/(b*i - (((a*a + b*b)^0.5)^2.0)*i)) for a >= 0 and b < 0 : c^2 = b^2 + a^2 * (((((a*a + b*b)^0.5)*i - a*i)^2.0)/(a*i - (((a*a + b*b)^0.5)^2.0)*i)) for a < 0 and b < 0 : c^2 = a^2 + b^2 for a >= 0 and b >= 0 : c^2 = a^2 + b^2 There is Pythagoras's Theorem on Complex Plane numbers. -
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DecisionTree.jl
Julia implementation of Decision Tree (CART) Random Forest algorithm
Julia implementation of Decision Tree (CART) and Random Forest algorithms. -
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PLP_Solvers
Library of solvers for work in Science, Engineering & Education
Portable library of solvers for work in Science, Engineering & Education. Library Contents: High Precision Computation, Numerical Calculus, Complex Analysis, Geometry, Linear Algebra, Special Functions, Differential Equations, Transformations, Optimization & Interpolation, Statistics, Physics ... (12,538 functions in v23.06 package) Knowledge of any programming language is not required. Only Windows port is available. -
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GoDS
Implementation of various data structures and algorithms in Go
GoDS, which means "Go Data Structures", is an implementation of various data structures and algorithms in Go. It provides a wide variety of containers (Sets, Lists, Stacks, Maps, Trees), sets (HashSet, TreeSet, LinkedHashSet), lists (ArrayList, SinglyLinkedList, DoublyLinkedList), stacks (LinkedListStack, ArrayStack), maps (HashMap, TreeMap, HashBidiMap, TreeBidiMap, LinkedHashMap), trees (RedBlackTree, AVLTree, BTree, BinaryHeap), comparators, and iterators. Containers are either ordered or... -
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detectMITE
Detection of Miniature Inverted Repeat Transposable Elements
...Rep. 6, 19688. http://www.nature.com/articles/srep19688 Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113349 [3] detectMITE user manual Please visit the Wiki page of this website. [4] detectMITE Q&A For Q&A, please visit the Blog page of this website. [5] Update history To see the update history, go to https://sourceforge.net/p/detectmite/wiki/UpdateHistory/ -
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React Fiber Architecture
A description of React's new core algorithm, React Fiber
...The document explores how Fiber replaces the older stack-based reconciliation algorithm with a more flexible system that breaks rendering work into incremental units. This enables advanced features such as interruptible rendering, prioritization of updates, and smoother user interfaces during complex operations. It also introduces the concept of fibers as data structures representing units of work that can be paused, resumed, or reused. The project is especially valuable for developers who want to understand React’s performance model and concurrency features at a low level. -
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tracking.js
A modern approach for Computer Vision on the web
...While you're working, you'll need a basic HTTP server to serve your pages. Test out the web server by loading the finished version of the project. The main goal of tracking.js is to provide those complex techniques in a simple and intuitive way on the web. We believe computer vision is important to improve people's life, bringing it to the web will make this future a reality a lot faster. -
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...From the user's perspective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network architectures. From the scientific developer's perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily increasing and includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others.
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detectIR
Detection of Perfect and Imperfect Inverted Repeats
...Please visit website: http://bioinfolab.miamioh.edu [2] How to cite detectIR? Ye C, Ji G, Li L, Liang C (2014) detectIR: A Novel Program for Detecting Perfect and Imperfect Inverted Repeats Using Complex Numbers and Vector Calculation. PLoS ONE 9(11): e113349. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0113349 [3] detectIR user manual Please visit the Wiki page of this website. [4] detectIR Q&A For Q&A, please visit the Blog page of this website. [5] detectIR bug report You can report a bug as a Ticket request, or start a topic session in the Discussion webpage of this website... -
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msp
mathSuite Speed & Matrix Stream Processor
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. -
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PdfPageCounter
C++ code to count the number pages in a given PDF file.
This C++ library contains the 'PdfPageCount' class that performs the single task of finding the number of pages in a given PDF document. While the PdfPageCount class is very simple to use, the contained code is complex because the page count can be hidden in any number of places, quite often within compressed data. -
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Math tools in Python to tackle down problems in Operational Research fields. Comes with a Django based web interface to allow remote access to complex simulation means.
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This is a Java-based project for complex event extraction from text and co-reference resolution. Currently the code can read BioNLP shared task format (http://2011.bionlp-st.org/) and i2b2 Natural Language Processing for Clinical Data shared task format (https://www.i2b2.org/NLP/DataSets/Main.php). Event extraction includes finding events and the parameters for an event in a text.
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Korat is a tool for constraint-based generation of structurally complex test inputs for Java programs.
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Headrand is a static library wrote in c that contains functions to simulate complex systems or make statistical analysis with a new approach called "random function computing"
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Generic toolbox of Particle Swarm Optimization developed in Scilab (PSOTS). It is developed for a variety of complex problems, including single and multi-objective optimization problems, continuous and discrete problems, and mixed integer problems.
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Are Plain Old Java Objects (POJOs) to complex? The aim of this framework is, to convert JavaBeans (complex Java-Object graphs) in a simplified representation (JSON, XML, CSV or other object structures) or handle and control access to JavaBean properties.
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Complex list management with an extremely versatile interface. Built-in sorting (with abstract variants), finding, iteration, and element manipulation. Supports const-interface elements. Transparent 'virtual array storage' (VAS) for large element types
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A simple image utility in C++. Although the boost::gil library is a great one, I can not understand the complex c++ template syntax in it. So i write a simple one( also limited functional )
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Math4J is a java library with an object-oriented design of some mathematical ideas: functions, primality, complex numbers, etc. It also consists of some utility methods and classes for mathematical constructions.
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Procedural content generation of deterministic and complex entities, with properties and other entities inside, defined by an editable XML file, along with a framework to simulate actions, compositions, and interactions of entities.
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