menu
{ "item_title" : "Combinatorial, Linear, Integer and Nonlinear Optimization Apps", "item_author" : [" J. MacGregor Smith "], "item_description" : "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.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/075/803/3030758036_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Combinatorial, Linear, Integer and Nonlinear Optimization Apps|J. MacGregor Smith

Combinatorial, Linear, Integer and Nonlinear Optimization Apps : Colina Grande

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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.

This item is Non-Returnable

Details

  • ISBN-13: 9783030758035
  • ISBN-10: 3030758036
  • Publisher: Springer
  • Publish Date: October 2022
  • Dimensions: 11 x 8.25 x 0.6 inches
  • Shipping Weight: 1.42 pounds
  • Page Count: 259

Related Categories

You May Also Like...

    1

BAM Customer Reviews