How deeply does Data for All cover optimization solver?

Describes large-scale inputs and recommendations, while noting that building and operating these systems remains difficult and deployment uncommon.

Optimization solver

As explained in Data for All

Optimization software is software that searches for solutions that best satisfy specified objectives under varying conditions or constraints.

An optimization solver weighs many possible outcomes against stated objectives and recommends a course of action. It can use outputs from simulations to help decision-makers look further ahead. section 7.3.6

In data markets, optimization software can aggregate offers, prices, and data integrations to serve objectives such as maximizing revenue. It may also suggest changes to those objectives. section 8.6.2

Revenue objective

A data intermediary could use its catalog and market prices to recommend which data offers or integrations support a revenue-maximizing objective. section 8.6.2

These systems are difficult to build and operate, and remain uncommon in everyday corporate use, though they hold promise. section 7.3.6

How Data for All covers it

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Also explained in

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The Creative ProgrammerA solver is a procedure or computational system that determines a solution to a specified problem.

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Related concepts

cvxpyused by · CVXPY is a Python library for modeling and solving convex optimization problems with a declarative mathematical syntax.
data intermediaryused by · A data intermediary is an institution or framework that enables people or organizations to control, aggregate, share, and otherwise manage data on their behalf or under their direction.
PuLPused by · PuLP is an open-source Python library for modeling and solving linear and mixed-integer linear programming problems through solver interfaces.

This explainer was generated by Manning's knowledge graph from the text of Data for All. The section links point to the parts of the book it draws on.