BOOKS - PROGRAMMING - Optimization Modelling Using R
Optimization Modelling Using R - Timothy R. Anderson 2022 PDF CRC Press BOOKS PROGRAMMING
ECO~15 kg CO²

1 TON

Views
55431

Telegram
 
Optimization Modelling Using R
Author: Timothy R. Anderson
Year: 2022
Pages: 299
Format: PDF
File size: 10 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Advanced Optimization Applications in Engineering
Nonlinear Optimization Models and Applications
Numerical Methods and Optimization in Finance
Nature-Inspired Optimization Algorithms
Statistical Inference via Convex Optimization
Advances in Optimization and Linear Programming
Search Engine Optimization Bible
Fundamentals of Optimization Techniques with Algorithms
Machine Design with CAD and Optimization
Experiments Planning, Analysis, and Optimization
Optimization of natural communication systems
Ant Colony Optimization and Constraint Programming
Bayesian Optimization in Action (MEAP v12)
Web Performance Optimization A Practical Approach
Modeling, Assessment, and Optimization of Energy Systems
Relaxation in Optimization Theory and Variational Calculus
Fixed Point Optimization Algorithms and Their Applications
Intelligent Optimization Principles, Algorithms and Applications
Advanced Computing Techniques for Optimization in Cloud
Interplant Resource Integration Optimization and Allocation
Artificial Intelligence Assisted Structural Optimization
Radar Array Design using Optimization Theory
Design and Optimization of Biogas Energy Systems
Computational Intelligence-based Optimization Algorithms
Optimal Illusions: The False Promise of Optimization
Optimization Modeling For Supply Chain Applications
Linear and Convex Optimization A Mathematical Approach
Advances on Mathematical Modeling and Optimization with Its Applications
Tuning Up From A/B testing to Bayesian optimization (MEAP)
Control of Underactuated Manipulators: Design and Optimization
Advanced Computing Techniques for Optimization in Cloud
Intelligent Optimization Principles, Algorithms and Applications
Machine Learning A Bayesian and Optimization Perspective
Machine Learning and Optimization for Engineering Design
Machine Learning and Optimization for Engineering Design
Evolutionary Optimization of Material Removal Processes
Engineering Design and Optimization of Thermofluid Systems
Bayesian Optimization in Action (Final Release)
Efficient Go: Data-Driven Performance Optimization
Advances on Mathematical Modeling and Optimization with Its Applications