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“…Providing excellent reference for students or professionals, Engineering Optimization : Describes and develops a variety of algorithms, including gradient based (such as Newton’s, and Levenberg-Marquardt), direct search (such as Hooke-Jeeves, Leapfrogging, and Particle Swarm), along with surrogate functions for surface characterization Provides guidance on optimizer choice by application, and explains how to determine appropriate optimizer parameter values Details current best practices for critical stages of specifying an optimization procedure, including decision variables, defining constraints, and relationship modeling Provides access to software and Visual Basic macros for Excel on the companion website, along with solutions to examples presented in the book Clear explanations, explicit equation derivations, and practical examples make this book ideal for use as part of a class or self-study, assuming a basic understanding of statistics, calculus, computer programming, and engineering models. Anyone seeking best practices for “making the best choices” will find value in this introductory resource…”

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“…By the end of this book, you’ll have learned how to install and update an application on Kubernetes, view its logs, and inspect clusters effectively.What you will learnGet to grips with the basic kubectl commandsDelve into different cluster nodes and their resource usagesUnderstand the most essential features of kubectlDiscover how to patch Kubernetes deployments with KustomizeFind out ways to extend kubectl tools with their own pluginsExplore how to use Helm as an advanced tool for deploying appsWho this book is forThis book is for developers, system administrators, and anyone who wants to use the kubectl command-line tool to perform Kubernetes functionalities. …”

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