Nonlinear Parameter Optimization Using R Tools

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Nonlinear Parameter Optimization Using R Tools

John C. Nash

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Κατηγορίες:

Computers - Programming

Έτος:

2014

Γλώσσα:

english

Αρχείο:

PDF, 3.42 MB

IPFS:

,

english, 2014

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Ίσως σας ενδιαφέρει

John C. Nash — Nonlinear Parameter Optimization Using R Tools

— MATLAB. Optimization Toolbox. User’s Guide

— Matlab Optimization Toolbox documentation

The MathWorks, Inc. — MATLAB Optimization Toolbox™ User's Guide

— Iterative Methods for Optimization

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Di Pillo G., Roma M. (eds.) — Large-scale nonlinear optimization

Jorge Nocedal, Stephen Wright — Numerical Optimization

Hans-Paul Schwefel — Evolution and Optimum Seeking

Ashok D. Belegundu, Tirupathi R. Chandrupatla — Optimization Concepts and Applications in Engineering, Second Edition

Mays, Larry W — Optimal control of hydrosystems

Nash J.C., Walker-Smith M. — Nonlinear parameter estimation: an integrated system in BASIC

Jorge J. Moré, Stephen J. Wright — Optimization software guide

J. E. Dennis, Robert B. Schnabel — Numerical methods for unconstrained optimization and nonlinear equations

C. T. Kelley — Iterative Methods for Optimization

Andrew R. Conn, Nicholas I. M. Gould, Philippe L. Toint — Trust-region methods

John T. Betts — Practical methods for optimal control using nonlinear programming

Garret N. Vanderplaats — Numerical Optimization Techniques For Engineering Design

Vassilios S. Vassiliadis — Optimization for Chemical and Biochemical Engineering: Theory, Algorithms, Modeling and Applications

Belegundu, Ashok D.; Chandrupatla, Tirupathi R — Optimization concepts and applications in engineering

John C. Nash — Nonlinear Parameter Optimization Using R Tools

Gianni Pillo, Massimo Roma — Large-Scale Nonlinear Optimization

Wolfram Klein, Andreas Griewank, Andrea Walther (auth.), George Corliss, Christèle Faure, Andreas Griewank, Laurent Hascoët, Uwe Naumann (eds.) — Automatic Differentiation of Algorithms: From Simulation to Optimization

Gianni Di Pillo, Almerico Murli (eds.) — High Performance Algorithms and Software for Nonlinear Optimization

Adam J. Berger, John M. Mulvey, Andrzej Ruszczyński (auth.), W. W. Hager, D. W. Hearn, P. M. Pardalos (eds.) — Large Scale Optimization: State of the Art

Dan Gabriel Cacuci, Ionel Michael Navon, Mihaela Ionescu-Bujor — Computational Methods for Data Evaluation and Assimilation

Ernesto G. Birgin, José Mario Martínez — Practical augmented Lagrangian methods for constrained optimization

Guido Buzzi-Ferraris, Flavio Manenti — Nonlinear Systems and Optimization for the Chemical Engineer: Solving Numerical Problems

Nash J.C., Varadhan R. — Unifying Optimization Algorithms to Aid Software System Users: optimx for R + Code

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