Optimization
Finite-dimensional optimization problems occur throughout the mathematical sciences. The majority of these problems cannot be solved analytically. This introduction to optimization attempts to strike a balance between presentation of mathematical theory a
- PDF / 21,055,187 Bytes
- 260 Pages / 439.37 x 666.142 pts Page_size
- 47 Downloads / 193 Views
George Casella Stephen Fienberg Ingram Olkin
Springer Science+Business Media, LLC
Springer Texts in Statistics Alfred: Elements of Statistics for the Life and Social Sciences Berger: An Introduction to Probability and Stochastic Processes Bilodeau and Brenner: Theory of Multivariate Statistics Blom: Probability and Statistics: Theory and Applications Brockwell and Davis: Introduction to Times Series and Forecasting, Second Edition Carmona: Statistical Analysis of Financial Data in S-Plus Chow and Teicher: Probability Theory: Independence, Interchangeability, Martingales, Third Edition Christensen: Advanced Linear Modeling: Multivariate, Time Series, and Spatial Data; Nonparametric Regression and Response Surface Maximization, Second Edition Christensen: Log-Linear Models and Logistic Regression, Second Edition Christensen: Plane Answers to Complex Questions: The Theory of Linear Models, Third Edition Creighton: A First Course in Probability Models and Statistical Inference Davis: Statistical Methods for the Analysis of Repeated Measurements Dean and Voss: Design and Analysis of Experiments du Toif, Steyn, and Stumpf Graphical Exploratory Data Analysis Durrett: Essentials of Stochastic Processes Edwards: Introduction to Graphical Modelling, Second Edition Finkelstein and Levin: Statistics for Lawyers Flury: A First Course in Multivariate Statistics Jobson: Applied Multivariate Data Analysis, Volume I: Regression and Experimental Design Jobson: Applied Multivariate Data Analysis, Volume II: Categorical and Multivariate Methods Kalbfleisch: Probability and Statistical Inference, Volume I: Probability, Second Edition Kalbfleisch: Probability and Statistical Inference, Volume II: Statistical Inference, Second Edition Karr: Probability Keyjitz: Applied Mathematical Demography, Second Edition Kiefer: Introduction to Statistical Inference Kokoska and Nevison: Statistical Tables and Formulae Kulkarni: Modeling, Analysis, Design, and Control of Stochastic Systems Lange: Applied Probability Lange: Optimization Lehmann: Elements of Large-Sample Theory Lehmann: Testing Statistical Hypotheses, Second Edition
(continued after index)
Kenneth Lange
Optimization
Springer
Kenneth Lange Department of Biomathematics and Human Genetics UCLA School of Medicine Box 951766 Los Angeles, CA 90095-1766 USA
Editorial Board
George Casella Department of Statistics University of Florida Gainesville, FL 32611-8545 USA
Stephen Fienberg Department of Statistics Carnegie Mellon University Pittsburgh, PA 15213-3890 USA
Ingram Olkin Department of Statistics Stanford University Stanford, CA 94305 USA
Library of Congress Cataloging in Publication Data Lange, Kenneth. Optimization 1 Kenneth Lange. p. cm. --(Springer Texts in Statistics) Includes bibliographical references and index. ISBN 978-1-4419-1910-6 ISBN 978-1-4757-4182-7 (eBook) DOI 10.1007/978-1-4757-4182-7
[on file] ISBN 978-1-4419-1910-6
Printed on acid-free paper.
©2004 Springer Science+Business Media New York Originally published by Springer-Verlag New York, LLC in 2004 Softc
