Tag: OPTIMIZATION

Free Download Reliability-Based Optimization of Floating Wind Turbine Support Structures (Springer Theses) by Mareike Leimeister
English | January 2, 2023 | ISBN: 303096888X | 343 pages | MOBI | 27 Mb
This book pursues the ambitious goal of combining floating wind turbine design optimization and reliability assessment, which has in fact not been done before. The topic is organized into a series of very ambitious objectives, which start with an initial state-of-the-art review, followed by the development of high-fidelity frameworks for a disruptive way to design next generation floating offshore wind turbine (FOWT) support structures. The development of a verified aero-hydro-servo-elastic coupled numerical model of dynamics for FOWTs and a holistic framework for automated simulation and optimization of FOWT systems, which is later used for the coupling of design optimization with reliability assessment of FOWT systems in a computationally and time-efficient manner, has been an aim of many groups internationally towards implementing a performance-based/goal-setting approach in the design of complex engineering systems. The outcomes of this work quantify the benefits of an optimal design with a lower mass while fulfilling design constraints. Illustrating that comprehensive design methods can be combined with reliability analysis and optimization algorithms towards an integrated reliability-based design optimization (RBDO) can benefit not only the offshore wind energy industry but also other applications such as, among others, civil infrastructure, aerospace, and automotive engineering.

Free Download Optimization Algorithms (MEAP V07)
English | 2023 | ISBN: 9781633438835 | 584 pages | MOBI | 17 Mb
Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems. Inside you’ll find a wide range of optimization methods, from deterministic and stochastic derivative-free optimization to nature-inspired search algorithms and machine learning methods. Don’t worry-there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world.

Free Download Simulation and Optimization of Internal Combustion Engines
by Zhiyu Han
English | 2021 | ISBN: 1468604007 | 372 Pages | True ePUB/PDF | 46 MB

Free Download Bio-Inspired Optimization in Fog and Edge Computing Environments : Principles, Algorithms, and Systems
by Punit Gupta, Dinesh Kumar Saini
English | 2023 | ISBN: 1032262907 | 268 Pages | True ePUB | 10.3 MB

Free Download PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries
English | 2024 | ASIN : B0CNVK2P8L | 459 Pages | PDF EPUB (True) | 19 MB
Write optimized queries. This book helps you write queries that perform fast and deliver results on time. You will learn that query optimization is not a dark art practiced by a small, secretive cabal of sorcerers. Any motivated professional can learn to write efficient queries from the get-go and capably optimize existing queries. You will learn to look at the process of writing a query from the database engine’s point of view, and know how to think like the database optimizer.

Free Download Inventory Management and Optimization in SAP ERP by Elke Roettig
English | March 30, 2016 | ISBN: 1493213105 | True PDF | 525 pages | 32.6 MB
Oversee your stock with this guide to inventory management and optimization with SAP ERP! Manage the inventory you have through replenishment, goods issue, goods receipt, and internal transfers; then optimize future stock by avoiding bottlenecks, setting lead times, using simulations, and more. Finally, evaluate your operations using standard reports, the MRP Monitor, and KPIs. Keep your stock levels just right!

Free Download Bayesian Optimization in Action (MEAP V12) by Quan Nguyen
English | November 14, 2023 | ISBN: 1633439070 | 424 pages | MOBI | 12 Mb
Bayesian optimization helps pinpoint the best configuration for your machine learning models with speed and accuracy. Put its advanced techniques into practice with this hands-on guide.

Free Download Optimization Algorithms (MEAP V08) by
English | 2023 | ISBN: 9781633438835 | 666 pages | MOBI | 19 Mb
Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems. Inside you’ll find a wide range of optimization methods, from deterministic and stochastic derivative-free optimization to nature-inspired search algorithms and machine learning methods. Don’t worry-there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world.

Free Download Optimal Illusions: The False Promise of Optimization by Coco Krumme
English | September 12, 2023 | ISBN: 0593331117 | 256 pages | PDF | 2.79 Mb
How optimization took over the world and the urgent case for a new approach

Free Download The Linearization Method for Constrained Optimization by Boris N. Pshenichnyj
English | PDF | 1994 | 156 Pages | ISBN : 3540570373 | 11.2 MB
Techniques of optimization are applied in many problems in economics, automatic control, engineering, etc. and a wealth of literature is devoted to this subject. The first computer applications involved linear programming problems with simp- le structure and comparatively uncomplicated nonlinear pro- blems: These could be solved readily with the computational power of existing machines, more than 20 years ago. Problems of increasing size and nonlinear complexity made it necessa- ry to develop a complete new arsenal of methods for obtai- ning numerical results in a reasonable time. The lineariza- tion method is one of the fruits of this research of the last 20 years. It is closely related to Newton’s method for solving systems of linear equations, to penalty function me- thods and to methods of nondifferentiable optimization. It requires the efficient solution of quadratic programming problems and this leads to a connection with conjugate gra- dient methods and variable metrics. This book, written by one of the leading specialists of optimization theory, sets out to provide – for a wide readership including engineers, economists and optimization specialists, from graduate student level on – a brief yet quite complete exposition of this most effective method of solution of optimization problems.