國立虎尾科技大學 |

Interval linear programming and extensions

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Interval linear programming and extensions/ by Milan Hladík.
作者:	Hladík, Milan.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xx, 537 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Numerical Analysis. -
電子資源:	https://doi.org/10.1007/978-3-031-85096-7
ISBN:	9783031850967

Interval linear programming and extensions
Hladík, Milan.

Interval linear programming and extensions[electronic resource] /by Milan Hladík. - Cham :Springer Nature Switzerland :2025. - xx, 537 p. :ill. (some col.), digital ;24 cm. - Springer optimization and its applications,v. 2081931-6836 ;. - Springer optimization and its applications ;v. 16..

Preface -- Preliminaries -- Part I. Interval Computation -- Introduction -- Interval Systems of Linear Equations -- General Interval Linear Systems -- Part II. Interval Linear Programming -- Introduction to Interval Linear Programming -- Optimal Value Range -- Basis Stability -- Optimal Solution Set -- Other Issues -- Special Interval Cases -- Special LP Cases -- Applications -- Part III. Extensions -- Interval Multiobjective Linear Programming -- Nonlinear Programming Problems with Interval Data -- AE Interval Linear Programming -- General Parameter and Enclosing Sets -- References -- Index.

This book delves into the intricate world of interval programming, offering a comprehensive exploration of mathematical programming problems characterized by interval data. Interval data, often arising from uncertainties like measurement errors or estimations, are also pivotal in analyzing stability, sensitivity, and managing numerical issues. At the heart of this book is the principle of interval analysis, ensuring that all possible realizations of interval data are accounted for. Readers will uncover a wealth of knowledge as the author meticulously examines how variations in input coefficients affect optimal solutions and values in linear programming. The chapters are organized into three parts: foundational concepts of interval analysis, linear programming with interval data, and advanced extensions into multiobjective and nonlinear problems. This book invites readers to explore critical questions about stability, duality, and practical applications across diverse fields. With contributions from eminent scholars, it provides a unique blend of theoretical insights and practical case studies. Designed for both researchers and students with a basic understanding of mathematics, this book serves as an essential resource for anyone interested in mathematical programming. Whether used as a monograph or a lecture textbook, it offers clear explanations and comprehensive proofs to make complex concepts accessible. Scholars in operations research, applied mathematics, and related disciplines will find this volume invaluable for advancing their understanding of interval programming.

ISBN: 9783031850967

Standard No.: 10.1007/978-3-031-85096-7doiSubjects--Topical Terms:

671433
Numerical Analysis.

LC Class. No.: QA297.75

Dewey Class. No.: 511.42

Interval linear programming and extensions
LDR:03254nam a2200337 a 4500 001 1162551
003 DE-He213
005 20250601130249.0
006 m d
007 cr nn 008maaau
008 251029s2025 sz s 0 eng d
020 $a 9783031850967 $q (electronic bk.)
020 $a 9783031850950 $q (paper)
024 7 $a 10.1007/978-3-031-85096-7 $2 doi
035 $a 978-3-031-85096-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA297.75
072 7 $a PBU $2 bicssc
072 7 $a MAT042000 $2 bisacsh
072 7 $a PBU $2 thema
082 0 4 $a 511.42 $2 23
090 $a QA297.75 $b .H677 2025
100 1 $a Hladík, Milan. $3 1489354
245 1 0 $a Interval linear programming and extensions $h [electronic resource] / $c by Milan Hladík.
260 $a Cham : $c 2025. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xx, 537 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer optimization and its applications, $x 1931-6836 ; $v v. 208
505 0 $a Preface -- Preliminaries -- Part I. Interval Computation -- Introduction -- Interval Systems of Linear Equations -- General Interval Linear Systems -- Part II. Interval Linear Programming -- Introduction to Interval Linear Programming -- Optimal Value Range -- Basis Stability -- Optimal Solution Set -- Other Issues -- Special Interval Cases -- Special LP Cases -- Applications -- Part III. Extensions -- Interval Multiobjective Linear Programming -- Nonlinear Programming Problems with Interval Data -- AE Interval Linear Programming -- General Parameter and Enclosing Sets -- References -- Index.
520 $a This book delves into the intricate world of interval programming, offering a comprehensive exploration of mathematical programming problems characterized by interval data. Interval data, often arising from uncertainties like measurement errors or estimations, are also pivotal in analyzing stability, sensitivity, and managing numerical issues. At the heart of this book is the principle of interval analysis, ensuring that all possible realizations of interval data are accounted for. Readers will uncover a wealth of knowledge as the author meticulously examines how variations in input coefficients affect optimal solutions and values in linear programming. The chapters are organized into three parts: foundational concepts of interval analysis, linear programming with interval data, and advanced extensions into multiobjective and nonlinear problems. This book invites readers to explore critical questions about stability, duality, and practical applications across diverse fields. With contributions from eminent scholars, it provides a unique blend of theoretical insights and practical case studies. Designed for both researchers and students with a basic understanding of mathematics, this book serves as an essential resource for anyone interested in mathematical programming. Whether used as a monograph or a lecture textbook, it offers clear explanations and comprehensive proofs to make complex concepts accessible. Scholars in operations research, applied mathematics, and related disciplines will find this volume invaluable for advancing their understanding of interval programming.
650 2 4 $a Numerical Analysis. $3 671433
650 2 4 $a Linear Models and Regression. $3 1366135
650 2 4 $a Linear Algebra. $3 1207620
650 1 4 $a Optimization. $3 669174
650 0 $a Linear programming. $3 528157
650 0 $a Interval analysis (Mathematics) $3 527787
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
830 0 $a Springer optimization and its applications ; $v v. 16. $3 791775
856 4 0 $u https://doi.org/10.1007/978-3-031-85096-7
950 $a Mathematics and Statistics (SpringerNature-11649)