×







We sell 100% Genuine & New Books only!

Engineering Optimization: Applications Methods And Analysis at Meripustak

Engineering Optimization: Applications Methods And Analysis by R. Russell Rhinehart, John Wiley

Books from same Author: R. Russell Rhinehart

Books from same Publisher: John Wiley

Related Category: Author List / Publisher List


  • Price: ₹ 11219.00/- [ 12.00% off ]

    Seller Price: ₹ 9873.00

Estimated Delivery Time : 4-5 Business Days

Sold By: Meripustak      Click for Bulk Order

Free Shipping (for orders above ₹ 499) *T&C apply.

In Stock

We deliver across all postal codes in India

Orders Outside India


Add To Cart


Outside India Order Estimated Delivery Time
7-10 Business Days


  • We Deliver Across 100+ Countries

  • MeriPustak’s Books are 100% New & Original
  • General Information  
    Author(s)R. Russell Rhinehart
    PublisherJohn Wiley
    EditionEdition Statement 1. Auflage
    ISBN9781118936337
    Pages776
    BindingHard Binding
    LanguageEnglish
    Publish YearMay 2018

    Description

    John Wiley Engineering Optimization: Applications Methods And Analysis by R. Russell Rhinehart

    An Application-Oriented Introduction To Essential Optimization Concepts And Best Practicesoptimization Is An Inherent Human Tendency That Gained New Life After The Advent Of Calculus; Now As The World Grows Increasingly Reliant On Complex Systems Optimization Has Become Both More Important And More Challenging Than Ever Before. Engineering Optimization Provides A Practically-Focused Introduction To Modern Engineering Optimization Best Practices Covering Fundamental Analytical And Numerical Techniques Throughout Each Stage Of The Optimization Process.Although Essential Algorithms Are Explained In Detail The Focus Lies More In The Human Function: How To Create An Appropriate Objective Function Choose Decision Variables Identify And Incorporate Constraints Define Convergence And Other Critical Issues That Define The Success Or Failure Of An Optimization Project.Examples Exercises And Homework Throughout Reinforce The AuthorS Do Not Study Approach To Learning Underscoring The Application-Oriented Discussion That Provides A Deep Generic Understanding Of The Optimization Process That Can Be Applied To Any Field.Providing Excellent Reference For Students Or Professionals Engineering Optimization:Describes And Develops A Variety Of Algorithms Including Gradient Based (Such As NewtonS And Levenberg-Marquardt) Direct Search (Such As Hooke-Jeeves Leapfrogging And Particle Swarm) Along With Surrogate Functions For Surface Characterizationprovides Guidance On Optimizer Choice By Application And Explains How To Determine Appropriate Optimizer Parameter Valuesdetails Current Best Practices For Critical Stages Of Specifying An Optimization Procedure Including Decision Variables Defining Constraints And Relationship Modelingprovides Access To Software And Visual Basic Macros For Excel On The Companion Website Along With Solutions To Examples Presented In The Bookclear Explanations Explicit Equation Derivations And Practical Examples Make This Book Ideal For Use As Part Of A Class Or Self-Study Assuming A Basic Understanding Of Statistics Calculus Computer Programming And Engineering Models. Anyone Seeking Best Practices For Making The Best Choices Will Find Value In This Introductory Resource.Show More



    Book Successfully Added To Your Cart