Numerical Methods for Solving Least Squares Problems.

Abstract

We have studied a number of computational problems in numerical linear algebra. Most of these problems arise in statistical computations. They include the following: (1) Application of the conjugate gradient method to nonorthogonal analysis of variance; (2) Use of orthogonalization procedures in geodetic problems; (3) Algorithms for computing sample variance; (4) Truncated Newton methods; and (5) Imposing Curvature Restrictions on Flexible Functional Forms. (Author).

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1982
Accession Number
ADA122945

Entities

People

  • Gene H. Golub

Organizations

  • Stanford University

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algebra
  • Algorithms
  • Analysis Of Variance
  • Computational Science
  • Computations
  • Computer Science
  • Computers
  • Curvature
  • Data Management
  • Data Sets
  • Differential Equations
  • Eigenvalues
  • Equations
  • Linear Algebra
  • Scientists
  • Universities

Fields of Study

  • Mathematics

Readers

  • Linear Algebra
  • Operations Research
  • Regression Analysis.