Linear And Nonlinear Programming Essentials

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Linear And Nonlinear Programming Essentials

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Author : Tanushri Kaniyar
language : en
Publisher: Educohack Press
Release Date : 2025-02-20

Linear And Nonlinear Programming Essentials written by Tanushri Kaniyar and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.

"Linear and Nonlinear Programming Essentials" is a comprehensive textbook crafted for undergraduate students, providing an in-depth exploration of optimization theory and practice. Designed to be both accessible and rigorous, this book is an essential resource for students in mathematics, computer science, engineering, economics, and related fields. We begin with an introduction to linear programming, covering fundamental concepts such as linear programming models, the simplex method, duality theory, and sensitivity analysis. Building upon this foundation, we delve into nonlinear programming, exploring convex optimization, gradient-based methods, and algorithms for solving nonlinear optimization problems. Our emphasis on bridging theory with practice is a distinguishing feature. Real-world examples and case studies from fields like logistics, finance, and machine learning illustrate the practical relevance of optimization techniques, providing tangible insights into their applications. With clear explanations, illustrative examples, and engaging exercises, we make the content suitable for students at all levels of expertise. Whether you're encountering optimization for the first time or seeking to deepen your understanding of advanced techniques, "Linear and Nonlinear Programming Essentials" offers a comprehensive and engaging journey into the world of optimization. This book equips you with the tools to tackle optimization problems confidently and proficiently.

Optimization Essentials

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Author : Faiz Hamid
language : en
Publisher: Springer Nature
Release Date : 2024-12-28

Optimization Essentials written by Faiz Hamid and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-28 with Business & Economics categories.

This book explores recent developments and exciting challenges in operations research and mathematical optimization. It provides the following in a unified and carefully developed presentation: (a) novel problems that have arisen in the real-life optimization domain, highlighting the challenges in each problem; (b) significant methodological advances for solving existing optimization problems, with a special emphasis on large scale problems. The book assumes a decent understanding of matrix algebra, linear and integer programming, non-linear programming, computational complexity, and graph theory. Each chapter in this book starts with an introduction to the underlying optimization technique. It then explores a real-life case study to which the technique will be applied. The objective is to demonstrate how the underlying technique can be utilized to solve a challenging problem. The chapters offer details on how to formulate a research problem into a formal optimization model, reformulate or transform it (if required) to improve computational tractability, and apply necessary customizations to the optimization technique specific to the underlying problem to derive an optimal or near-optimal solution. The book covers various state-of-the-art methods (both exact and heuristics) and modelling approaches in sync with the current research trends, which are still not discussed in typical graduate-level textbooks. Applications covered in the book span the realms of resource planning, telecommunications, scheduling, logistics, education, environmental conservation, and many others. It is thus a valuable resource for post-graduate students of operations research and mathematical optimization. It also serves as a valuable reference for researchers who wish to explore various optimization techniques as part of their research methodologies. The learning from the book should enable the professionals to apply optimization theory and algorithms to their particular field of interest.

Linear And Nonlinear Programming

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Author : David G. Luenberger
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-06-20

Linear And Nonlinear Programming written by David G. Luenberger and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-20 with Business & Economics categories.

This third edition of the classic textbook in Optimization has been fully revised and updated. It comprehensively covers modern theoretical insights in this crucial computing area, and will be required reading for analysts and operations researchers in a variety of fields. The book connects the purely analytical character of an optimization problem, and the behavior of algorithms used to solve it. Now, the third edition has been completely updated with recent Optimization Methods. The book also has a new co-author, Yinyu Ye of California’s Stanford University, who has written lots of extra material including some on Interior Point Methods.

Optimization

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Author : H. Ronald Miller
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-29

Optimization written by H. Ronald Miller and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-29 with Mathematics categories.

A thorough and highly accessible resource for analysts in a broadrange of social sciences. Optimization: Foundations and Applications presents a series ofapproaches to the challenges faced by analysts who must find thebest way to accomplish particular objectives, usually with theadded complication of constraints on the available choices.Award-winning educator Ronald E. Miller provides detailed coverageof both classical, calculus-based approaches and newer,computer-based iterative methods. Dr. Miller lays a solid foundation for both linear and nonlinearmodels and quickly moves on to discuss applications, includingiterative methods for root-finding and for unconstrainedmaximization, approaches to the inequality constrained linearprogramming problem, and the complexities of inequality constrainedmaximization and minimization in nonlinear problems. Otherimportant features include: More than 200 geometric interpretations of algebraic results,emphasizing the intuitive appeal of mathematics Classic results mixed with modern numerical methods to aidusers of computer programs Extensive appendices containing mathematical details importantfor a thorough understanding of the topic With special emphasis on questions most frequently asked by thoseencountering this material for the first time, Optimization:Foundations and Applications is an extremely useful resource forprofessionals in such areas as mathematics, engineering, economicsand business, regional science, geography, sociology, politicalscience, management and decision sciences, public policy analysis,and numerous other social sciences. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available upon request from the Wileyeditorial department.

Linear And Nonlinear Optimization

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Author : Richard W. Cottle
language : en
Publisher: Springer
Release Date : 2017-06-11

Linear And Nonlinear Optimization written by Richard W. Cottle and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-11 with Business & Economics categories.

​This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields. It is both literate and mathematically strong, yet requires no prior course in optimization. As suggested by its title, the book is divided into two parts covering in their individual chapters LP Models and Applications; Linear Equations and Inequalities; The Simplex Algorithm; Simplex Algorithm Continued; Duality and the Dual Simplex Algorithm; Postoptimality Analyses; Computational Considerations; Nonlinear (NLP) Models and Applications; Unconstrained Optimization; Descent Methods; Optimality Conditions; Problems with Linear Constraints; Problems with Nonlinear Constraints; Interior-Point Methods; and an Appendix covering Mathematical Concepts. Each chapter ends with a set of exercises. The book is based on lecture notes the authors have used in numerous optimization courses the authors have taught at Stanford University. It emphasizes modeling and numerical algorithms for optimization with continuous (not integer) variables. The discussion presents the underlying theory without always focusing on formal mathematical proofs (which can be found in cited references). Another feature of this book is its inclusion of cultural and historical matters, most often appearing among the footnotes. "This book is a real gem. The authors do a masterful job of rigorously presenting all of the relevant theory clearly and concisely while managing to avoid unnecessary tedious mathematical details. This is an ideal book for teaching a one or two semester masters-level course in optimization – it broadly covers linear and nonlinear programming effectively balancing modeling, algorithmic theory, computation, implementation, illuminating historical facts, and numerous interesting examples and exercises. Due to the clarity of the exposition, this book also serves as a valuable reference for self-study." Professor Ilan Adler, IEOR Department, UC Berkeley "A carefully crafted introduction to the main elements and applications of mathematical optimization. This volume presents the essential concepts of linear and nonlinear programming in an accessible format filled with anecdotes, examples, and exercises that bring the topic to life. The authors plumb their decades of experience in optimization to provide an enriching layer of historical context. Suitable for advanced undergraduates and masters students in management science, operations research, and related fields." Michael P. Friedlander, IBM Professor of Computer Science, Professor of Mathematics, University of British Columbia

Comptia Datax Study Guide

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Author : Fred Nwanganga
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-19

Comptia Datax Study Guide written by Fred Nwanganga and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Computers categories.

Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a data science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of machine learning; data science operations and processes; and specialized applications of data science. This up-to-date Study Guide walks you through the new, advanced-level data science certification offered by CompTIA and includes hundreds of practice questions and electronic flashcards that help you to retain and remember the knowledge you need to succeed on the exam and at your next (or current) professional data science role. You'll find: Chapter review questions that validate and measure your readiness for the challenging certification exam Complimentary access to the intuitive Sybex online learning environment, complete with practice questions and a glossary of frequently used industry terminology Material you need to learn and shore up job-critical skills, like data processing and cleaning, machine learning model-selection, and foundational math and modeling concepts Perfect for aspiring and current data science professionals, CompTIA DataX Study Guide is a must-have resource for anyone preparing for the DataX certification exam (DY0-001) and seeking a better, more reliable, and faster way to succeed on the test.

Nonlinear Programming Extensions To Rational Function Approximation Methods For Unsteady Aerodynamic Forces

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Author : Sherwood H. Tiffany
language : en
Publisher:
Release Date : 1988

Nonlinear Programming Extensions To Rational Function Approximation Methods For Unsteady Aerodynamic Forces written by Sherwood H. Tiffany and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Approximation theory categories.

Operations Research

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Author :
language : en
Publisher:
Release Date : 1962

Operations Research written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962 with Operations research categories.

Bibliography For The Management Analyst

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Author : United States. Navy Department. Bureau of Supplies and Accounts. Library
language : en
Publisher:
Release Date : 1961

Bibliography For The Management Analyst written by United States. Navy Department. Bureau of Supplies and Accounts. Library and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1961 with Industrial management categories.

Environment Planning

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Author :
language : en
Publisher:
Release Date : 1982

Environment Planning written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with City planning categories.