Combinatorial, linear, integer and nonlinear optimization apps : COLINA Grande / J. MacGregor Smith.

Format:

Book

Author/Creator:

MacGregor Smith, J., author.

Series:

Springer optimization and its applications ; Volume 175.

Springer optimization and its applications ; Volume 175

Language:

English

Subjects (All):

Mathematical optimization--Data processing.

Mathematical optimization.

Physical Description:

1 online resource (275 pages)

Place of Publication:

Cham, Switzerland : Springer, [2021]

Summary:

This textbook provides an introduction to the use and understanding of optimization and modeling for upper-level undergraduate students in engineering and mathematics. The formulation of optimization problems is founded through concepts and techniques from operations research: Combinatorial Optimization, Linear Programming, and Integer and Nonlinear Programming (COLIN). Computer Science (CS) is also relevant and important given the applications of algorithms and Apps/algorithms (A) in solving optimization problems. Each chapter provides an overview of the main concepts of optimization according to COLINA, providing examples through App Inventor and AMPL software applications. All apps developed through the text are available for download. Additionally, the text includes links to the University of Wisconsin NEOS server, designed to handle more computing-intensive problems in complex optimization. Readers are encouraged to have some background in calculus, linear algebra, and relatedmathematics.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

3-030-75801-X

OCLC:

1277179959