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Minimum Total Loss Rounding in Python

Minimum Total Loss Rounding algorithms are quite useful for distribution problems if you need whole numbers after the distribution, as the final result of distribution. Download Python script/module MinLossRounding_v1_Feb2019.py (version-1) For example, you want to distribute a certain number of … Continue reading

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Empowering Excel with Table Valued Functions

We are currently working on an Excel add-in named Finaquant in Excel that will make all the Matrix, Vector and most importantly, Table Valued Functions of finaquant libraries available for Excel users and programmers (macro, VBA). Table Valued Functions will … Continue reading

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Optimizing Marketing Investment

Table Functions of our .NET libraries finaquant® protos (non-commercial) or finaquant® calcs (commercial) can be used to formulate evaluation function (also known as objective or fitness function) and constraints in any optimization scenario quite easily without cumbersome database programming; following … Continue reading

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Reporting with ReportViewer in Visual Studio

With finaquant® protos (non-commercial) or finaquant® calcs (commercial) a .NET developer has everything she needs for analytical table computations and database connection (i.e. storing and reading complete data tables). Sometimes, tables need to be broken down into matrices for detail … Continue reading

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