MiningMath

MiningMath

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Math Optimization models that integrate multiple business’ areas

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Floating-point numbers

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Same scenario, different results?

Is it possible to find different results for the same scenario running in different computers. Algorithms based on Mixed Integer Linear Programming (MILP) depend on third-party solvers and their results may differ in terms of floating-point precision from hardware to hardware.
 
Given that MILP is based on multiple LP executions, precision differences may accumulate over the sequence of operations performed with floating-point numbers. It’s expected that results may differ, but they should be equivalent in terms of NPV. If the physical results are too different, this means this mine has the flexibility to operate in both ways without big impacts in NPV.

For an in-depth explanation on floating-point arithmetic from a computer science perspective please see here.
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CONTENTS

Reblocking

Reblocking is a method used to decrease the number of blocks in a block model by...

Floating-point numbers

Same scenario, different results? Is it possible to find different results for t...

Translations

MiningMath supports and encourages the translation of its knowledge base to mult...

Imperial System

For importing databases, MiningMath uses the metric system exclusively. In case ...

In-Depth MiningMath

This tutorial provides a detailed guidance to the pages in the knowledge base fo...

Theory Validation

MiningMath’s results are only possible due to its proprietary Math Program...

Guaranteed Solutions

Multiple, complex constraints increase the likelihood of not finding or not exis...

MiningMath Uniqueness

MiningMath allows mining managers to improve their strategic analysis through ri...

Time Limit

It is possible to indicate a time limit in hours before running a scenario in th...

Must-Read Articles

In order to take the maximum of MiningMath’s Optimization we recommend this fl...

Tutorials

Geometry

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