Сбор средств 15 Сентября 2024 – 1 Октября 2024 О сборе средств

Practical optimization methods: with Mathematica...

Main
Mathematics
Practical optimization methods: with...

Practical optimization methods: with Mathematica applications

M. Asghar Bhatti

0 / 0

Насколько вам понравилась эта книга?

Какого качества скаченный файл?

Скачайте книгу, чтобы оценить ее качество

Какого качества скаченные файлы?

Textbook presenting basic optimization theory in a concise manner suitable for students in all branches of engineering, operations research, and management information systems. Approaches the subject from both a theoretical and mathematical style.

Категории:

Год:

2000

Издание:

1

Издательство:

Springer

Язык:

english

Страницы:

729

ISBN 10:

0387986316

ISBN 13:

9780387986319

Файл:

DJVU, 6.06 MB

IPFS:

,

english, 2000

Читать Онлайн

Выполняется конвертация в

Конвертация в не удалась

Вас может заинтересовать

Stephen Boyd, Lieven Vandenberghe — Additional Exercises for Convex Optimization (with Solutions)

Nayfeh A.H., Chin C.-M. — Perturbation methods with Mathematica, source code

Frederick S. Hillier, Gerald J. Lieberman — Introduction to operations research

Frederick S. Hillier, Gerald J. Lieberman — Introduction to Operations Research

Karl Dieter Moeller — Optics: Learning by Computing, with Examples Using Mathcad, Matlab, Mathematica, and Maple

James F. Feagin — Quantum Methods with Mathematica

Kevin R. Coombes, Ronald L. Lipsman, Jonathan M. Rosenberg (auth.) — Multivariable Calculus and Mathematica®: With Applications to Geometry and Physics

M. Asghar Bhatti — Practical optimization methods with Mathematica applications

Daniel Dubin — Numerical and Analytical Methods for Scientists and Engineers Using Mathematica

P. Venkataraman — Applied Optimization with MATLAB Programming

Leonard D. Berkovitz — Convexity and Optimization in R-n

Roger Fletcher — Practical Methods of Optimization, Second Edition

A. Ravindran, K. M. Ragsdell, G. V. Reklaitis — Engineering optimization: methods and applications

M. Asghar Bhatti — Fundamental Finite Element Analysis and Applications: with Mathematica and MATLAB Computations

Erwin Kreyszig — Advanced Engineering Mathematics 9th Edition (Solution Manual)

Ross Baldick — Applied Optimization - Formulation and Algorithms for Engineering Systems.

Sal Mangano — Mathematica Cookbook

Prem K. Kythe, Pratap Puri, Michael R. Schäferkotter — Partial differential equations and Mathematica

Edward B. Magrab — Advanced Engineering Mathematics with Mathematica (Solution manual)

Paul Wellin — Programming with Mathematica®

Paul Wellin — Essentials of Programming in Mathematica

B. Guenin, J. Könemann, L. Tunçel — A Gentle Introduction to Optimization

Bruce F. Torrence, Eve A. Torrence — The Student’s Introduction to Mathematica and the Wolfram Language

Edward B. Magrab — An Engineer's Guide to Mathematica

David McMahon, Dan M. Topa — A Beginner's Guide To Mathematica

Michael Trott (auth.) — The Mathematica GuideBook for Graphics

Adzievski, Kuzman; Siddiqi, A. H — Introduction to partial differential equations for scientists and engineers using Mathematica

Pardalos, Panos M.; Butenko, Sergiy — Numerical Methods and Optimization: An Introduction

Arangala, Crista — Exploring Linear Algebra: Labs and Projects with Mathematica ®

Von Seggern, David Henry — CRC standard curves and surfaces with Mathematica

Rajesh Kumar Arora — Optimization: Algorithms and Applications

Arangala, Crista; Yokley, Karen A — Exploring calculus: labs and projects with mathematica

Michael W. Carter, Camille C. Price, Ghaith Rabadi — Operations Research: A Practical Approach

Sánchez León, José Guillermo — Mathematica beyond mathematics : the Wolfram language in the real world

Ancău, Mircea — Practical Optimization with MATLAB

Cliff Hastings, Kelvin Mischo, Michael Morrison — Hands-On Start to Wolfram Mathematica: And Programming with the Wolfram Language

Stephen Wolfram — The Mathematica Book

Elsa Abbena, Simon Salamon, Alfred Gray — Modern Differential Geometry of Curves and Surfaces with Mathematica

Dimitris Bertsimas, John N. Tsitsiklis — Introduction to Linear Optimization (low quality scanned )( 60 Mb pdf file is the good one)

Dimitri Bertsekas, Angelia Nedic — Convex Analysis and Optimization

Xin-She Yang — Introduction to Mathematical Optimization: From Linear Programming to Metaheuristics

Joseph Awange, Béla Paláncz, Lajos Völgyesi — Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Ключевые слова

Связанные Подборки