Showing 7 open source projects for "numerical"

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  • 1
    LakshmiDROP

    LakshmiDROP

    Fixed Income Analytics, Portfolio Construction, Asset Backed Cost

    DROP implements the model libraries and provides systems for fixed income valuation and adjustments, asset allocation and transaction cost analytics, and supporting libraries in numerical optimization and statistical learning. DROP is composed of four main libraries: [Asset Allocation] (https://lakshmidrip.github.io/DROP/AssetAllocationModule.html) [Fixed Income Analytics] (https://lakshmidrip.github.io/DROP/FixedIncomeModule.html) [Numerical Optimization] (https://lakshmidrip.github.io/DROP/NumericalOptimizerModule.html) [Statistical Learning] (https://lakshmidrip.github.io/DROP/StatisticalLearningModule.html)
    Downloads: 4 This Week
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  • 2
    Advanced Trigonometry Calculator

    Advanced Trigonometry Calculator

    Open-source C/C++ math engine for advanced scientific computing

    Advanced Trigonometry Calculator (ATC) is an open-source mathematical computing engine written mainly in C/C++. Created in 2011 and maintained by Renato Alexandre dos Santos Freitas, ATC is designed as a practical Windows desktop application for advanced calculations, automation, and technical problem solving. ATC supports equation solving, polynomial tools, complex numbers, matrix calculations, statistics, physics, geometry, unit conversions, DSP/FFT operations, and scripting. It can...
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    Downloads: 12 This Week
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  • 3
    Abscom

    Abscom

    A C11 library of reusable data structures and platform utilities.

    ...A data science layer adds NumPy-style reshaping and generators, Pandas-style numeric CSV, functional utils, and SciKit-Learn-style preprocessing (one-hot encoding, train/test split). An AI/ML layer adds activations, softmax, MSE loss, and numerical gradients for neural-network forward passes. An ultimate layer tops the scientific stack off with computational backend selection (CPU / AVX SIMD / GPU stub), a Micrograd-style scalar autograd engine.
    Downloads: 3 This Week
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  • 4
    basic_numerical_methods

    basic_numerical_methods

    Didactic application to aid students in learning Numerical Methods;

    A practical tool (for students and engineers) to foresee the result of calculus exercises. Calculation and visualization numerical methods for nonlinear equation, ODE, integration, linear system, polynomial fitting,.....
    Downloads: 0 This Week
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  • 5
    Kotlingrad

    Kotlingrad

    Shape-Safe Symbolic Differentiation with Algebraic Data Types

    Kotlin∇ is a type-safe automatic differentiation framework written in Kotlin. It allows users to express differentiable programs with higher-dimensional data structures and operators. We attempt to restrict syntactically valid constructions to those which are algebraically valid and can be checked at compile-time. By enforcing these constraints in the type system, it eliminates certain classes of runtime errors that may occur during the execution of a differentiable program. Due to...
    Downloads: 2 This Week
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  • 6

    fields.awk

    A flat-file database program written in bash shell and awk scripts.

    Fields.awk allows users to create and work with small-to-medium databases on their home computers or a mobile device with bash shell terminal emulator. It runs on any OS compatible with bash shell, including Linux, FreeBSD, MacOSX, and Android. Certain optional features (printing/encryption) are dependent on external utilities such as lp or ccrypt.
    Downloads: 0 This Week
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  • 7
    Math.NET aims to provide a self contained clean framework for symbolic mathematical (Computer Algebra System) and numerical/scientific computations, including a parser and support for linear algebra, complex differential analysis, system solving and more
    Downloads: 0 This Week
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