Cantitate/Preț
Produs
Total produse
Vezi coșul
Basics of Optimization Theory de Arthur David Snider

Basics of Optimization Theory: Synthesis Lectures on Mathematics & Statistics

Autor Arthur David Snider
en Limba Engleză Hardback – 11 aug 2023
This book presents a short introduction to the main tools of optimization methodology including linear programming, steepest descent, conjugate gradients, and the Karush-Kuhn-Tucker-John conditions. Each topic is developed in terms of a specific physical model, so that the strategy behind every step is motivated by a logical, concrete, easily visualized objective. A quick perusal of the Fibonacci search algorithm provides a simple and tantalizing first encounter with optimization theory, and a review of the max-min exposition of one-dimensional calculus prepares readers for the more sophisticated topics found later in the book. Notable features are the innovative perspectives on the simplex algorithm and Karush-Kuhn-Tucker-John conditions as well as a wealth of helpful diagrams. The author provides pointers to references for readers who would like to learn more about rigorous definitions, proofs, elegant reformulations and extensions, and case studies. However, the book is sufficiently self-contained to serve as a reliable resource for readers who wish to exploit commercially available optimization software without investing the time to develop expertise in its aspects.

This book also:
  • Features innovative perspectives on the simplex algorithm and Krushal-Kuhn-Tucker-John conditions
  • Serves as a resource for readers to use the tools of optimization without needing to acquire expertise in the theory
  • Features  plentiful resources that focus on rigorous definitions, proofs, and case studies
Citește tot Restrânge

Din seria Synthesis Lectures on Mathematics & Statistics

  • 17% Differential Equations and Data Analysis
    Preț: 36363 lei
  • An Introduction to Partial Differential Equations
    Preț: 28250 lei
  • Correlation in Engineering and the Applied Sciences: Applications in R
    Preț: 31772 lei
  • Dual Jet Geometrization for Time-Dependent Hamiltonians and Applications
    Preț: 40966 lei
  • 17% Introduction to Applications of Modular Forms: Computational Aspects
    Preț: 45898 lei
  • 17% Monte Carlo Simulations Using Microsoft EXCEL®
    Preț: 36122 lei
  • Dynamic Equations and Almost Periodic Fuzzy Functions on Time Scales
    Preț: 41719 lei
  • Fixed Point Theory in Generalized Metric Spaces
    Preț: 41061 lei
  • Boundary Value Problems: Essential Fractional Dynamic Equations on Time Scales
    Preț: 31397 lei
  • Fractional Differential Equations: New Advancements for Generalized Fractional Derivatives
    Preț: 28250 lei
  • Characters and Blocks of Solvable Groups: A User’s Guide to Large Orbit Theorems
    Preț: 31586 lei
  • Quantum Tools for Macroscopic Systems
    Preț: 41061 lei
  • Advanced Topics in Fractional Differential Equations: A Fixed Point Approach
    Preț: 31586 lei
  • 17% Geodesic Beams in Eigenfunction Analysis
    Preț: 36054 lei
  • Applied Stochastic Modeling
    Preț: 31491 lei
  • Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models
    Preț: 28304 lei
  • Probability and Statistics for STEM: A Course in One Semester
    Preț: 32620 lei
  • 15% Tensor-Based Dynamical Systems: Theory and Applications
    Preț: 51492 lei
  • Discrete Mathematics: A Concise Introduction
    Preț: 28442 lei
  • Completely Regular Semigroup Varieties: A Comprehensive Study with Modern Insights
    Preț: 32054 lei
  • Understanding Structural Equation Modeling: A Manual for Researchers
    Preț: 32150 lei
  • Multivariate Discrete q-Distributions
    Preț: 31302 lei
  • Descriptive Statistics for Scientists and Engineers: Applications in R
    Preț: 32017 lei
  • Computational Calculus: A Numerical Companion to Elementary Calculus
    Preț: 28088 lei
  • 15% Statistical Hypothesis Testing with Microsoft ® Office Excel ®
    Preț: 48568 lei
  • A Gyrovector Space Approach to Hyperbolic Geometry
    Preț: 31227 lei
  • Continuous Distributions in Engineering and the Applied Sciences -- Part I
    Preț: 40984 lei
  • Fast Start Integral Calculus
    Preț: 26268 lei
  • Fast Start Advanced Calculus
    Preț: 23673 lei
  • Aspects of Differential Geometry I
    Preț: 23487 lei
  • Monte Carlo Methods: A Hands-On Computational Introduction Utilizing Excel
    Preț: 40684 lei
  • Discrete Distributions in Engineering and the Applied Sciences
    Preț: 44463 lei
  • An Introduction to Proofs with Set Theory
    Preț: 47936 lei
  • The Geometry of Walker Manifolds
    Preț: 26037 lei
  • Fast Start Differential Calculus
    Preț: 26475 lei
  • Statistics is Easy! 2nd Edition
    Preț: 40854 lei
  • Matrices in Engineering Problems
    Preț: 31912 lei
  • Jordan Canonical Form: Application to Differential Equations
    Preț: 19130 lei
  • Numerical Integration of Space Fractional Partial Differential Equations: Vol 1 - Introduction to Algorithms and Computer Coding in R
    Preț: 44337 lei
  • Time-Fractional Order Biological Systems with Uncertain Parameters
    Preț: 37564 lei
  • Statistics is Easy: Case Studies on Real Scientific Datasets
    Preț: 15559 lei
  • Probability and Statistics for STEM: A Course in One Semester
    Preț: 44678 lei
  • Mathematical Problem Factories: Almost Endless Problem Generation
    Preț: 37668 lei
  • Aspects of Differential Geometry III
    Preț: 31912 lei
  • Crowd Dynamics by Kinetic Theory Modeling: Complexity, Modeling, Simulations, and Safety
    Preț: 25513 lei
  • A First Course in Complex Analysis
    Preț: 47792 lei
  • PDE Models for Atherosclerosis Computer Implementation in R
    Preț: 34676 lei
  • The de Sitter (dS) Group and its Representations: An Introduction to Elementary Systems and Modeling the Dark Energy Universe
    Preț: 29860 lei
  • The Fundamentals of Analysis for Talented Freshmen
    Preț: 25513 lei

Preț: 28812 lei

Nou

Puncte Express: 432
Preț estimativ în valută:
5514€ • 5728$ • 4580£

Carte tipărită la comandă

Livrare economică 29 ianuarie-04 februarie 25

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă
Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783031292187
ISBN-10: 3031292189
Pagini: 143
Ilustrații: VIII, 143 p. 180 illus., 59 illus. in color.
Dimensiuni: 168 x 240 mm
Greutate: 0.41 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Synthesis Lectures on Mathematics & Statistics

Locul publicării:Cham, Switzerland

Cuprins

A Preliminary Note.- Fibonnacci Search.- Linear Programming.- Nonlinear Programming in One Dimension.- Nonlinear Multidimensional Optimization.- Constrained Optimization.

Notă biografică

Arthur David Snider, PhD., is a Professor Emeritus in the Departments of Mathematics, Physics, and Electrical Engineering at the University of South Florida. He has 50+ years of experience in modeling physical systems in the areas of heat transfer, electromagnetics, microwave circuits, and orbital mechanics, as well as the mathematical areas of numerical analysis, signal processing, differential equations, and optimization.

Textul de pe ultima copertă

This book presents a short introduction to the main tools of optimization methodology including linear programming, steepest descent, conjugate gradients, and the Karush-Kuhn-Tucker-John conditions. Each topic is developed in terms of a specific physical model, so that the strategy behind every step is motivated by a logical, concrete, easily visualized objective. A quick perusal of the Fibonacci search algorithm provides a simple and tantalizing first encounter with optimization theory, and a review of the max-min exposition of one-dimensional calculus prepares readers for the more sophisticated topics found later in the book. Notable features are the innovative perspectives on the simplex algorithm and Karush-Kuhn-Tucker-John conditions as well as a wealth of helpful diagrams. The author provides pointers to references for readers who would like to learn more about rigorous definitions, proofs, elegant reformulations and extensions, and case studies. However, the book is sufficiently self-contained to serve as a reliable resource for readers who wish to exploit commercially available optimization software without investing the time to develop expertise in its aspects.

This book also:
  • Features innovative perspectives on the simplex algorithm and Krushal-Kuhn-Tucker-John conditions
  • Serves as a resource for readers to use the tools of optimization without needing to acquire expertise in the theory
  • Features  plentiful resources that focus on rigorous definitions, proofs, and case studies

Caracteristici

Features innovative perspectives on the simplex algorithm and Krushal-Kuhn-Tucker-John conditions Serves as a resource for readers to use the tools of optimization without needing to acquire expertise in the theory Features plentiful resources that focus on rigorous definitions, proofs, and case studies