AdamWhite
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- 54,353 total downloads
- last updated 9/15/2023
- Latest version: 2023.1000.1.258
An arbitrary precision decimal (base 10) floating point number type using a mantissa and exponent. Supports nth roots, trigonometric functions, logarithms, natural e, pi, etc. -
- 9,919 total downloads
- last updated 9/12/2023
- Latest version: 2023.1000.1.255
Arbitrary precision rational number class. Stores the numerator and denominator. -
- 6,092 total downloads
- last updated 6/1/2022
- Latest version: 2022.152.744
A univariate, sparse, symbolic, BigInteger polynomial arithmetic class. -
- 2,516 total downloads
- last updated 5/2/2023
- Latest version: 2023.121.2022
A symbolic, multivariate integer polynomial arithmetic library. -
- 2,118 total downloads
- last updated 5/2/2023
- Latest version: 2023.122.1339
Library to perform symbolic polynomial arithmetic on generic numeric types. -
- 1,821 total downloads
- last updated 5/2/2023
- Latest version: 2023.122.420
Arbitrary precision complex (imaginary) numbers. -
- 911 total downloads
- last updated 7/12/2020
- Latest version: 1.0.0.1
A complex polynomial arithmetic class.. -
- 819 total downloads
- last updated 9/6/2023
- Latest version: 2023.200.0.249
A symbolic, multivariate integer polynomial arithmetic library. -
- 792 total downloads
- last updated 5/2/2023
- Latest version: 2023.122.900
A generic arithmetic library. Allows you to perform arithmetic on any numeric type. All .NET numeric value types are supported, as is any custom numeric type--just implement the numeric operator overloads. -
- 639 total downloads
- last updated 11/24/2019
- Latest version: 1.0.0
Data first or code first ORM. Entity-object-class-poco to SQL repository mapping, and vice versa. Data to C-Sharp class code or emit assembly. Can dynamically generate assemblies, C-Sharp code, and SQL scripts... More information -
- 584 total downloads
- last updated 5/8/2023
- Latest version: 2023.127.2336
A generic Vector numeric type. Supports: Scalar arithmetic, vector arithmetic, square root, dot product, normal, reflection, distance, lerp, sum of squares and cosine similarity.