The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 03, 2020

Filed:

Jul. 01, 2019
Applicant:

The Nielsen Company (Us), Llc, New York, NY (US);

Inventors:

Michael Sheppard, Brooklyn, NY (US);

Jonathan Sullivan, Hurricane, UT (US);

Peter Lipa, Tuscon, AZ (US);

Alejandro Terrazas, Santa Cruz, CA (US);

Matt Reid, Alameda, CA (US);

Paul Donato, New York, NY (US);

Assignee:

The Nielsen Company (US), LLC, New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06Q 10/00 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/02 (2013.01); G06Q 10/00 (2013.01);
Abstract

Methods and apparatus to solve for a minimum variance solution for a constrained weight problem in a scalable and memory efficient manner are disclosed. An example method includes storing a constraint matrix and a population matrix into a memory, the constraint matrix representing demographics associated with a plurality of panelists in a population, the population matrix representing second demographics of the population; determining, by executing an instruction with a processor, a linear system based on a set of constraints including the constraint matrix and the population matrix; determining, by executing an instruction with the processor, a solution to the linear system by determining an inverse of a first matrix of the linear system, the determination of the inverse including breaking down the first matrix into blocks, dimensions of the blocks being no larger than dimensions of the constraint matrix and outputting a set of weights based on the inverse of the linear system, the set of weights satisfying the set of constraints.


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