Products related to Optimization:
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Additive Manufacturing Technology : Design, Optimization, and Modeling
Additive Manufacturing Technology Highly comprehensive resource covering all key aspects of the current developments of additive manufacturing Additive Manufacturing Technology: Design, Optimization, and Modeling provides comprehensive and in-depth knowledge of the latest advances in various additive manufacturing technologies for polymeric materials, metals, multi-materials, functionally graded materials, and cell-laden bio-inks.It also details the application of numerical modeling in facilitating the design and optimization of materials, processes, and printed parts in additive manufacturing. The topics covered in this book include: Fundamentals and applications of 4D printing, 3D bioprinting of cell-laden bio-inks, and multi-material additive manufacturing Alloy design for metal additive manufacturing, mechanisms of metallurgical defect formation, and the mechanical properties of printed alloys Modified inherent strain method for the rapid prediction of residual stress and distortion within parts fabricated by additive manufacturing Modeling of the different stages in polymer and metal additive manufacturing processes, including powder spreading, melting, and thermal stress evolution By providing extensive coverage of highly relevant concepts and important topics in the field of additive manufacturing, this book highlights its essential role in Industry 4.0 and serves as a valuable resource for scientists, engineers, and students in materials science, engineering, and biomedicine.
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Optimization Algorithms
Solve design, planning, and control problems using modern machine learning and AI techniques. In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn: Machine learning methods for search and optimization problemsThe core concepts of search and optimizationDeterministic and stochastic optimization techniquesGraph search algorithmsNature-inspired search and optimization algorithmsEfficient trade-offs between search space exploration and exploitationState-of-the-art Python libraries for search and optimization About the technology: Search and optimization algorithms are powerful tools that can help practitioners find optimal or near-optimal solutions to a wide range of design, planning and control problems.When you open a route planning app, call for a rideshare, or schedule a hospital appointment, an AI algorithm works behind the scenes to make sure you get an optimized result.This guide reveals the classical and modern algorithms behind these services.
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Numerical Optimization
Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization.It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. For this new edition the book has been thoroughly updated throughout.There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience.It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business.It also serves as a handbook for researchers and practitioners in the field.The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side. There is a selected solutions manual for instructors for the new edition.
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Robust Optimization
Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology.Written by the principal developers of robust optimization, and describing the main achievements of a decade of research, this is the first book to provide a comprehensive and up-to-date account of the subject.Robust optimization is designed to meet some major challenges associated with uncertainty-affected optimization problems: to operate under lack of full information on the nature of uncertainty; to model the problem in a form that can be solved efficiently; and to provide guarantees about the performance of the solution.The book starts with a relatively simple treatment of uncertain linear programming, proceeding with a deep analysis of the interconnections between the construction of appropriate uncertainty sets and the classical chance constraints (probabilistic) approach. It then develops the robust optimization theory for uncertain conic quadratic and semidefinite optimization problems and dynamic (multistage) problems.The theory is supported by numerous examples and computational illustrations.An essential book for anyone working on optimization and decision making under uncertainty, Robust Optimization also makes an ideal graduate textbook on the subject.
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If you are looking for good YouTubers for beauty, fashion, and lifestyle content, some popular and highly recommended creators include Zoella, Tanya Burr, and Ingrid Nilsen. These creators consistently produce high-quality videos on makeup tutorials, fashion hauls, and lifestyle tips. Additionally, channels like Jackie Aina, Patricia Bright, and Jenn Im offer diverse perspectives and content within the beauty, fashion, and lifestyle genres.
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What is price optimization?
Price optimization is the process of using data and analytics to determine the most effective pricing strategy for a product or service. It involves analyzing factors such as market demand, competitor pricing, and customer behavior to set prices that maximize revenue and profit. By continuously adjusting prices based on these insights, businesses can find the optimal balance between attracting customers and maximizing profitability. Price optimization helps businesses stay competitive in the market and adapt to changing conditions to achieve their financial goals.
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What is linear optimization?
Linear optimization, also known as linear programming, is a mathematical method for determining the best outcome in a given mathematical model for a given set of requirements. It involves maximizing or minimizing a linear objective function, subject to a set of linear equality and inequality constraints. Linear optimization is widely used in various fields such as economics, engineering, and business to optimize resource allocation, production planning, and decision-making processes. It provides a systematic and efficient approach to solving complex problems with multiple variables and constraints.
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What is upstream optimization?
Upstream optimization refers to the process of identifying and addressing issues at the beginning of a production or supply chain to improve overall efficiency and effectiveness. By focusing on optimizing processes, materials, and resources at the upstream stage, companies can prevent problems from occurring downstream, leading to cost savings, improved quality, and increased productivity. This proactive approach helps organizations streamline their operations and enhance their competitive advantage in the market.
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Bayesian Optimization
Bayesian optimization is a methodology for optimizing expensive objective functions that has proven success in the sciences, engineering, and beyond.This timely text provides a self-contained and comprehensive introduction to the subject, starting from scratch and carefully developing all the key ideas along the way.This bottom-up approach illuminates unifying themes in the design of Bayesian optimization algorithms and builds a solid theoretical foundation for approaching novel situations.The core of the book is divided into three main parts, covering theoretical and practical aspects of Gaussian process modeling, the Bayesian approach to sequential decision making, and the realization and computation of practical and effective optimization policies.Following this foundational material, the book provides an overview of theoretical convergence results, a survey of notable extensions, a comprehensive history of Bayesian optimization, and an extensive annotated bibliography of applications.
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Health & Fitness Career Course
Course Description Do you have a passion for a healthy lifestyle, incorporating diet and exercise into your daily routine that you now want to share with others? This diploma will teach you everything you need to know about being an effective fitness instructor/personal trainer and helping your clients achieve their fitness goals on a daily basis. 32 comprehensive modules The Health andamp; Fitness Career Course is broken into comprehensive modules which will teach you everything you need to know to become a successful fitness instructor or personal trainer. The course is set in manageable modules which you can study at your own pace and in your own time while still having the benefit of a full time position. End of course certification On completion of the course you will be required to pass a test, which is made up of multiple choice questions based on the modules you have studied. Once you pass, you will be able to download and print your certificate and start using your new diploma to enjoy a successful career within the fitness industry. What You Will Learn This course is designed to provide you with a complete overview of what you need to become a successful fitness instructor or personal trainer. During the course you can expect to learn the following: Learn what you will need to begin your career in fitness, from the skills you will need to the role you will be expected to perform on a daily basis. Understand the human anatomy of the bones, their function and how exercise can impact the bones. You will also learn about how bones are affected as part of the ageing process. Learn more about the cardiovascular system from the heart's function to respiratory function and how these are impacted by exercise, along with the benefits. Get an understanding of muscles and how they work and the different muscle types. Understand joints and nervous system, as well as injury prevention. Learn more about obesity and diabetes and how the two are linked. Obesity has become a serious issue in the United Kingdom with more people being diagnosed with diabetes on a daily basis. Get a good understanding of a healthy and well-balanced diet and why this is so important in conjunction with exercise. Learn the five main food groups, types of food and how to set nutritional goals. Learn how to encourage your clients to embrace an active lifestyle and how it can benefit them in the long run. Identify how exercise impacts the body as a whole. Learn how to safely monitor your clients' exercise intensity. Learn how to set fitness plans in place, how to plan, difficulties you may face and standards you must adhere to. Get a good understanding of the importance of stretching, working with disabled customers and outdoor exercise routines. Learn how to work with children, from exercise to diet. Identify if yoga or pilates may be something you will want to specialise in. Know how to deal with emergencies in the fitness industry. Benefits of taking the Fitness Diploma The Health andamp; Fitness Career Course will provide you with a wide number of benefits to help you enjoy a successful career as a fitness instructor or personal trainer. Fast track your career. Improve your career prospects. Improve your knowledge and skill when it comes to the human anatomy. Understand the link between exercise and diet. Know how to work with your client, encourage them and support them to achieve their goals. Use any device to access the modules online, enabling you to study from anywhere at any time. Study at your own pace with no schedules or deadlines to adhere to. Be rewarded with an industry recognised certification on successful completion. Take advantage of online support during your studies. Be confident in your abilities and knowledge as a fitness instructor or personal trainer. Who can take the course?Anyone who has an interest in learning more about this subject matter is encouraged to take the course. There are no entry requirements to take the course. What is the structure of the course?The course is broken down into 32 individual modules. Each module takes between 20 and 90 minutes on average to study. Although you are free to spend as much or as little time as you feel necessary on each module, simply log in and out of the course at your convenience. Where / when can I study the course?You can study the course any time you like. Simply log in and out of the web based course as often as you require. The course is compatible with all computers, tablet devices and smart phones so you can even study while on the move! Is there a test at the end of the course?Once you have completed all modules there is a multiple choice test. The questions will be on a range of topics found within the modules. The test, like the course, is online and can be taken a time and location of your choosing. What is the pass mark for the final test?The pass mark for the test is 70%. If you don’t pass the test first time you will get further opportunities to take the test again after extra study. There are no limits to the number of times you can take the test. All test retakes are included within the price of the course. When will I receive my certificate?Once you have completed your test you can log in to your account and download/print your certificate any time you need it.How long does it take to complete the course?We estimate that the course will take about 15 hours to complete in total, plus an additional 30 minutes for the end of course test. Course Content Module 1 : Beginning a career in the fitness industry Module 2 : Anatomy – the skeleton Module 3 : Anatomy – cardiovascular system Module 4 : Anatomy – muscles and somatotypes Module 5 : Anatomy – The nervous system Module 6 : Anatomy of the joints Module 7 : Obesity andamp; Diabetes Module 8 : Diet and fitness Module 9 : Collecting andamp; analysing nutritional information andamp; nutritional goal setting Module 10 : Encouraging clients to incorporate activity into their lifestyle andamp; understanding of health benefits Module 11 : The effects of exercise on the body Module 12 : How to safely monitor exercise intensity Module 13 : GP and exercise referral Module 14 : Preparing fitness plans for clients Module 15: Stretching Fitness Module 16: Fitness training for disabled people Module 17: Group personal training Module 18: Gym exercising – Planning and Instructing Module 19: An in depth look at personal training Module 20: Outdoor fitness Module 21: Children – Fitness and Diet Module 22: Yoga Instructing Module 23: Pilates Instructor Module 24: Understanding emergency procedures in a fitness environment Module 25: Understanding andamp; Controlling risks in a fitness environment Module 26: Safeguarding Children and Vulnerable Adults Module 27: Setting up your own Fitness or Personal Training business Module 28: Customer care. Dealing with enquiries Module 29: Finance Module 30: Insurance and Tax Module 31: Marketing yourself as a personal trainer Module 32: Health and Safety Course Detail Course Access: Lifetime Exams Included: Yes Compatibility: All major browsers / devices Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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Algorithms for Optimization
A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms.The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints.Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics.Figures, examples, and exercises convey the intuition behind the mathematical approaches.The text provides concrete implementations in the Julia programming language.Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization.Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text.The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
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Engineering Optimization 2014
Modern engineering processes and tasks are highly complex, multi- and interdisciplinary, requiring the cooperative effort of different specialists from engineering, mathematics, computer science and even social sciences.Optimization methodologies are fundamental instruments to tackle this complexity, giving the possibility to unite synergistically team members’ inputs and thus decisively contribute to solving new engineering technological challenges.With this context in mind, the main goal of Engineering Optimization 2014 is to unite engineers, applied mathematicians, computer and other applied scientists working on research, development and practical application of optimization methods applied to all engineering disciplines, in a common scientific forum to present, analyze and discuss the latest developments in this area. Engineering Optimization 2014 contains the edited papers presented at the 4th International Conference on Engineering Optimization (ENGOPT2014, Lisbon, Portugal, 8-11 September 2014).ENGOPT2014 is the fourth edition of the biennial “International Conference on Engineering Optimization”.The first conference took place in 2008 in Rio de Janeiro, the second in Lisbon in 2010 and the third in Rio de Janeiro in 2012.?The contributing papers are organized around the following major themes:?- Numerical Optimization Techniques- Design Optimization and Inverse Problems- Effi cient Analysis and Reanalysis Techniques- Sensitivity Analysis- Industrial Applications- Topology Optimization For Structural Static and Dynamic Failures- Optimization in Oil and Gas Industries- New Advances in Derivative-Free Optimization Methods for Engineering Optimization- Optimization Methods in Biomechanics and Biomedical Engineering- Optimization of Laminated Composite Materials- Inverse Problems in EngineeringEngineering Optimization 2014 will be of great interest to engineers and academics in engineering, mathematics and computer science.
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Is map optimization harmful?
No, map optimization is not harmful. In fact, it is beneficial for improving the user experience, reducing load times, and increasing website performance. Properly optimizing maps can help websites load faster and provide a better overall experience for users.
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What is mathematical optimization?
Mathematical optimization is the process of finding the best solution to a problem from a set of possible solutions. It involves maximizing or minimizing a certain objective function while satisfying a set of constraints. This can be applied to a wide range of fields, including engineering, economics, and computer science, to help make better decisions and improve efficiency. Optimization problems can be solved using various mathematical techniques such as linear programming, nonlinear programming, and integer programming.
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What is optimization 3?
Optimization 3 refers to the process of maximizing or improving the efficiency and effectiveness of a system, process, or strategy. It involves identifying areas for improvement, setting specific goals, and implementing changes to achieve the best possible outcome. Optimization 3 often involves using data analysis, mathematical modeling, and advanced algorithms to make informed decisions and drive continuous improvement. This approach is commonly used in various fields such as engineering, business, and technology to enhance performance and achieve better results.
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