Classics in Applied Mathematics(共90册),这套丛书还有 《Nonlinear systems analysis》《Nonlinear Programming》《Asymptotic Approximation of Integrals》《Convex Analysis and Variational Problems》《Multiple Decision Procedures Theory and Methodology of Selecting and Ranking Populations》等。 我来说两句 短评 ·...
Solving Least Squares Problems (Classics in Applied Mathematics, No 15)豆瓣评分:0.0 简介:An accessible text for the study of numerical methods for solving least squares problems remains an essential part of a scientific software foundation. This book h
Solving Box-Constrained Integer Least Squares Problems A box-constrained integer least squares problem (BILS) arises from several wireless communications applications. Solving a BILS problem usually has two sta... XW Chang,Q Han - 《Wireless Communications IEEE Transactions on》...
An accessible text for the study of numerical methods for solving least squares problems remains an essential part of a scientific software foundation. Feedback that we have received from practicing engineers and scientists, as well as from educators and students in numerical analysis, indicates that...
(1988) Solving large and sparse linear least-squares problems by conjugate gradient algorithms. Comput. Math. Applic. 15: pp. 185-202Z. Zlatev and H. B. Nielsen, Solving large and sparse linear least-squares problems by con- jugate gradient algorithms, Comput. Math. Appl., 15 (1988), ...
I'm performing an iterative routine, where at each iteration I am solving a least squares problem using ?gels. At each iteration step I update a column of the matrix A, which will ulitmately converge, as will the solution vector b. My question is this: Because at each iterat...
I am trying to solve a weighted least squares problem with both linear inequality and linear equality constraints. Which Matlab function should I use? 댓글 수: 0 댓글을 달려면 로그인하십시오. 태그 fmincon ...
Solving Least Squares Problems || 2. Analysis of the Least Squares Problem Objectives Little is known about the effect of lifetime history of depression on ischemic stroke outcomes. This study compared a measure of current symptom... CL Lawson,RJ Hanson 被引量: 0发表: 1995年 Solving Least Sq...
A new approach to variable selection in least squares problems. Homotopy method wherein the constraint bound becomes the homotopy parameter; Algorithm implementation using a modified Gram-Schmidt orthogonalization of an augment... Osborne,MR,R M.,... - 《Ima Journal of Numerical Analysis》 被引量...
Linear Least Squares (LLS) problems are particularly difficult to solve because they are frequently ill-conditioned, and involve large quantities of data. Ill-conditioned LLS problems are commonly seen in mathematics and geosciences, where regularization algorithms are employed to seek optimal solutions....